# Model Context Protocol (MCP)

Published articles for Model Context Protocol (MCP).

This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles.

## Dropbox Evolves Riviera Content Processing Platform to Support AI Workloads

DevFeed: [Dropbox Evolves Riviera Content Processing Platform to Support AI Workloads](<https://devfeed.tech/articles/dropbox-evolves-riviera-content-processing-platform-to-support-ai-workloads-31517.md>)

Original publisher: [Read original article](<https://www.infoq.com/news/2026/09/dropbox-riviera-ai-platform/>)

Author: Leela Kumili

Published: 2026-09-16T14:42:00Z

Content type: news

Language: en

Sources: [InfoQ](<https://devfeed.tech/sources/infoq.md>)

Topics: [dropbox](<https://devfeed.tech/topics/dropbox.md>), [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [API](<https://devfeed.tech/topics/api.md>), [Orchestration](<https://devfeed.tech/topics/orchestration.md>), [Retrieval Augmented Generation (RAG)](<https://devfeed.tech/topics/retrieval-augmented-generation-rag.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [ai-ml-data-engineering](<https://devfeed.tech/tags/ai-ml-data-engineering.md>), [apache](<https://devfeed.tech/tags/apache.md>), [apis](<https://devfeed.tech/tags/apis.md>), [architecture](<https://devfeed.tech/tags/architecture.md>), [architecture-design](<https://devfeed.tech/tags/architecture-design.md>), [asynchronous-architecture](<https://devfeed.tech/tags/asynchronous-architecture.md>), [backend](<https://devfeed.tech/tags/backend.md>), [caching](<https://devfeed.tech/tags/caching.md>), [data-pipelines](<https://devfeed.tech/tags/data-pipelines.md>), [development](<https://devfeed.tech/tags/development.md>), [distributed-systems](<https://devfeed.tech/tags/distributed-systems.md>), [dropbox](<https://devfeed.tech/tags/dropbox.md>), [dropbox-riviera-ai-platform](<https://devfeed.tech/tags/dropbox-riviera-ai-platform.md>), [embeddings](<https://devfeed.tech/tags/embeddings.md>), [enterprise-content-management](<https://devfeed.tech/tags/enterprise-content-management.md>), [large-language-models](<https://devfeed.tech/tags/large-language-models.md>), [ml-data-engineering](<https://devfeed.tech/tags/ml-data-engineering.md>), [model-context-protocol-mcp](<https://devfeed.tech/tags/model-context-protocol-mcp.md>), [news](<https://devfeed.tech/tags/news.md>), [orchestration](<https://devfeed.tech/tags/orchestration.md>), [platform-engineering](<https://devfeed.tech/tags/platform-engineering.md>), [plugins](<https://devfeed.tech/tags/plugins.md>), [rag](<https://devfeed.tech/tags/rag.md>), [tika](<https://devfeed.tech/tags/tika.md>)

### AI overview

Dropbox has expanded Riviera from an internal file-preview service into a content-processing platform supporting more than 300 file formats and over 100 transformation capabilities. The platform supports Dropbox products including Search, Replay, Sign, and Dash, and provides APIs for asynchronous document conversion, media transcription, and structured metadata extraction for AI and RAG workflows.

### Source excerpt

Dropbox has evolved Riviera from a file preview service into a universal content processing platform supporting more than 300 file formats and over 100 transformation capabilities. Processing hundreds of thousands of transformations per second, Riviera now supports Search, Replay, Sign, and Dash, while its APIs enable asynchronous content extraction for AI and RAG workflows. By Leela Kumili

## Why MCP security is about permissions overhaul

DevFeed: [Why MCP security is about permissions overhaul](<https://devfeed.tech/articles/why-mcp-security-is-about-permissions-overhaul-8864.md>)

Original publisher: [Read original article](<https://thenewstack.io/mcp-security-permissions-overhaul/>)

Author: Mohit Bansal

Published: 2026-09-12T15:00:00Z

Content type: article

Language: en

Sources: [The New Stack](<https://devfeed.tech/sources/the-new-stack.md>)

Topics: [Model Context Protocol](<https://devfeed.tech/topics/model-context-protocol.md>), [Authorization](<https://devfeed.tech/topics/authorization.md>), [GitHub](<https://devfeed.tech/topics/github.md>), [anthropic](<https://devfeed.tech/topics/anthropic.md>)

Tags: [ai-agent](<https://devfeed.tech/tags/ai-agent.md>), [ai-agents](<https://devfeed.tech/tags/ai-agents.md>), [github](<https://devfeed.tech/tags/github.md>), [mcp](<https://devfeed.tech/tags/mcp.md>), [model-context-protocol-mcp](<https://devfeed.tech/tags/model-context-protocol-mcp.md>), [post-contributed](<https://devfeed.tech/tags/post-contributed.md>), [security](<https://devfeed.tech/tags/security.md>), [sponsor-webflow](<https://devfeed.tech/tags/sponsor-webflow.md>), [sponsored-post-contributed](<https://devfeed.tech/tags/sponsored-post-contributed.md>), [webflow](<https://devfeed.tech/tags/webflow.md>)

### AI overview

The article argues that MCP security problems are fundamentally permission problems, not merely infrastructure flaws. It calls for compartmentalized, task-scoped access to reduce risks such as prompt injection, tool poisoning, and excessive inherited trust.

### Source excerpt

Anthropic's Model Context Protocol (MCP) went into production in late 2024. It spread rapidly after that. Since then, thousands of The post Why MCP security is about permissions overhaul appeared first on The New Stack.

## Bringing custom knowledge to agents with AutoRAG

DevFeed: [Bringing custom knowledge to agents with AutoRAG](<https://devfeed.tech/articles/bringing-custom-knowledge-to-agents-with-autorag-12353.md>)

Original publisher: [Read original article](<https://developers.redhat.com/articles/2026/09/11/bringing-custom-knowledge-agents-autorag>)

Author: Diego Alvarez Ponce, Diego Garcia Perez

Published: 2026-09-11T13:01:50Z

Content type: article

Language: en

Sources: [Red Hat](<https://devfeed.tech/sources/red-hat.md>), [Red Hat Developer](<https://devfeed.tech/sources/red-hat-developer.md>)

Topics: [Retrieval Augmented Generation (RAG)](<https://devfeed.tech/topics/retrieval-augmented-generation-rag.md>), [Model Context Protocol (MCP)](<https://devfeed.tech/topics/model-context-protocol-mcp.md>), [Databases](<https://devfeed.tech/topics/databases.md>), [Large Language Model](<https://devfeed.tech/topics/llm.md>), [AI Development](<https://devfeed.tech/topics/ai-development.md>), [LLM evaluation / benchmarking](<https://devfeed.tech/topics/llm-evaluation-benchmarking.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [ai-inference](<https://devfeed.tech/tags/ai-inference.md>), [artificial-intelligence](<https://devfeed.tech/tags/artificial-intelligence.md>), [database](<https://devfeed.tech/tags/database.md>), [developer](<https://devfeed.tech/tags/developer.md>), [generative-ai](<https://devfeed.tech/tags/generative-ai.md>), [gpu](<https://devfeed.tech/tags/gpu.md>), [guide](<https://devfeed.tech/tags/guide.md>), [how-to](<https://devfeed.tech/tags/how-to.md>), [large-language-models-llms](<https://devfeed.tech/tags/large-language-models-llms.md>), [model-context-protocol-mcp](<https://devfeed.tech/tags/model-context-protocol-mcp.md>), [rag](<https://devfeed.tech/tags/rag.md>), [red-hat](<https://devfeed.tech/tags/red-hat.md>), [terminal](<https://devfeed.tech/tags/terminal.md>)

### AI overview

This guide explains how to use AutoRAG in Red Hat OpenShift AI to optimize retrieval-augmented generation for enterprise, domain-specific data. It also shows how to integrate a Model Context Protocol server that retrieves customer information from an internal database, using a fictional banking scenario.

### Source excerpt

The large language models (LLMs) that power generative AI work by drawing upon the patterns and information present in their training data. Without access to the right data, LLMs struggle to comprehend context--like our internal corporate vocabulary--and as a result, start to hallucinate. The post Bringing custom knowledge to agents with AutoRAG appeared first on Red Hat Developer.

## Researchers found that 1 in 5 MCP access policies came back broken or missing

DevFeed: [Researchers found that 1 in 5 MCP access policies came back broken or missing](<https://devfeed.tech/articles/researchers-found-that-1-in-5-mcp-access-policies-came-back-broken-or-missing-8481.md>)

Original publisher: [Read original article](<https://thenewstack.io/mcp-vibe-coding-security/>)

Author: Shawn Petty

Published: 2026-09-10T15:00:00Z

Content type: opinion

Language: en

Sources: [The New Stack](<https://devfeed.tech/sources/the-new-stack.md>)

Topics: [Model Context Protocol](<https://devfeed.tech/topics/model-context-protocol.md>), [Authorization](<https://devfeed.tech/topics/authorization.md>), [API keys](<https://devfeed.tech/topics/api-keys.md>), [GitHub](<https://devfeed.tech/topics/github.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [contributed-cloudbolt](<https://devfeed.tech/tags/contributed-cloudbolt.md>), [github](<https://devfeed.tech/tags/github.md>), [mcp](<https://devfeed.tech/tags/mcp.md>), [model-context-protocol-mcp](<https://devfeed.tech/tags/model-context-protocol-mcp.md>), [oauth](<https://devfeed.tech/tags/oauth.md>), [security](<https://devfeed.tech/tags/security.md>), [vibe-coding](<https://devfeed.tech/tags/vibe-coding.md>)

### AI overview

The article argues that MCP deployments need stronger authorization and narrower credentials. It highlights prompt-injection risks in tool descriptions, broad default scopes, and limited OAuth use among MCP servers.

### Source excerpt

Bob from finance built a scheduling tool last month. He described it to an AI assistant on a Sunday afternoon, The post Researchers found that 1 in 5 MCP access policies came back broken or missing appeared first on The New Stack.

## Develop like you deploy: closing the Kubernetes local-to-cluster gap

DevFeed: [Develop like you deploy: closing the Kubernetes local-to-cluster gap](<https://devfeed.tech/articles/develop-like-you-deploy-closing-the-kubernetes-local-to-cluster-gap-17624.md>)

Original publisher: [Read original article](<https://thenewstack.io/krumware-epinio-kubernetes-mcp/>)

Author: Katie Tincello

Published: 2026-07-09T15:00:00Z

Content type: opinion

Language: en

Sources: [Kubernetes Overview, News and Trends | The New Stack](<https://devfeed.tech/sources/kubernetes-overview-news-and-trends-the-new-stack.md>)

Topics: [Kubernetes](<https://devfeed.tech/topics/kubernetes.md>), [Platform Engineering](<https://devfeed.tech/topics/platform-engineering.md>), [MCP Server](<https://devfeed.tech/topics/mcp-server.md>), [Application Development](<https://devfeed.tech/topics/application-development.md>), [Open Source](<https://devfeed.tech/topics/open-source.md>)

Tags: [application-development](<https://devfeed.tech/tags/application-development.md>), [critical-infrastructure](<https://devfeed.tech/tags/critical-infrastructure.md>), [krumware](<https://devfeed.tech/tags/krumware.md>), [kubernetes](<https://devfeed.tech/tags/kubernetes.md>), [mcp-server](<https://devfeed.tech/tags/mcp-server.md>), [model-context-protocol-mcp](<https://devfeed.tech/tags/model-context-protocol-mcp.md>), [observability](<https://devfeed.tech/tags/observability.md>), [open-source](<https://devfeed.tech/tags/open-source.md>), [platform-engineering](<https://devfeed.tech/tags/platform-engineering.md>), [post](<https://devfeed.tech/tags/post.md>), [sponsor-krumware](<https://devfeed.tech/tags/sponsor-krumware.md>), [sponsored-post](<https://devfeed.tech/tags/sponsored-post.md>)

### AI overview

The article argues that platform engineering should close the gap between local Kubernetes development and cluster deployment. It presents Krumware's open-source Epinio application development engine and Epinio MCP server as ways to reduce tool fragmentation, support enterprise guardrails, and improve Kubernetes workflows.

### Source excerpt

Despite significant investments and technological developments in platform engineering over the past decade, most developers still face the same problem The post Develop like you deploy: closing the Kubernetes local-to-cluster gap appeared first on The New Stack.

## Introducing MCP server for Registry of Open Data on AWS

DevFeed: [Introducing MCP server for Registry of Open Data on AWS](<https://devfeed.tech/articles/introducing-mcp-server-for-registry-of-open-data-on-aws-4755.md>)

Original publisher: [Read original article](<https://aws.amazon.com/blogs/opensource/introducing-mcp-server-for-registry-of-open-data-on-aws/>)

Author: Guyu Ye

Published: 2026-07-07T20:12:39Z

Content type: article

Language: en

Sources: [AWS Open Source Blog](<https://devfeed.tech/sources/aws-open-source-blog.md>)

Topics: [MCP Server](<https://devfeed.tech/topics/mcp-server.md>), [Model Context Protocol](<https://devfeed.tech/topics/model-context-protocol.md>), [datasets](<https://devfeed.tech/topics/datasets.md>), [Amazon Web Services](<https://devfeed.tech/topics/aws.md>), [Open Source](<https://devfeed.tech/topics/open-source.md>), [Claude Code](<https://devfeed.tech/topics/claude-code.md>), [Kiro](<https://devfeed.tech/topics/kiro.md>), [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [ai-assistants](<https://devfeed.tech/tags/ai-assistants.md>), [aws](<https://devfeed.tech/tags/aws.md>), [claude-code](<https://devfeed.tech/tags/claude-code.md>), [datasets](<https://devfeed.tech/tags/datasets.md>), [kiro](<https://devfeed.tech/tags/kiro.md>), [mcp-server](<https://devfeed.tech/tags/mcp-server.md>), [model-context-protocol](<https://devfeed.tech/tags/model-context-protocol.md>), [model-context-protocol-mcp](<https://devfeed.tech/tags/model-context-protocol-mcp.md>), [open-source](<https://devfeed.tech/tags/open-source.md>)

### AI overview

AWS introduces an open-source Model Context Protocol server for the Registry of Open Data on AWS. It lets compatible AI assistants search datasets, inspect metadata, explore bucket contents, and sample files, helping researchers evaluate data through a conversational workflow.

### Source excerpt

Today, we are launching an open source Model Context Protocol (MCP) server that brings AI-powered dataset discovery to Registry of Open Data on AWS (RODA). As of today, RODA hosts over 1,100 high-value datasets from more than 400 organizations, spanning satellite imagery, life sciences, climate, geospatial, and more. Ask a research question in Kiro, Claude [...]

## MCP Clearly Explained

DevFeed: [MCP Clearly Explained](<https://devfeed.tech/articles/mcp-clearly-explained-18031.md>)

Original publisher: [Read original article](<https://blog.levelupcoding.com/p/mcp-clearly-explained>)

Author: Nikki Siapno

Published: 2026-06-15T12:57:01Z

Content type: tutorial

Language: en

Sources: [Level Up Coding System Design Newsletter](<https://devfeed.tech/sources/level-up-coding-system-design-newsletter.md>)

Topics: [Model Context Protocol (MCP)](<https://devfeed.tech/topics/model-context-protocol-mcp.md>), [AI Engineering](<https://devfeed.tech/topics/ai-engineering.md>), [Protocol (disambiguation)](<https://devfeed.tech/topics/protocol.md>), [client](<https://devfeed.tech/topics/client.md>), [Server](<https://devfeed.tech/topics/server.md>)

Tags: [ai-engineering](<https://devfeed.tech/tags/ai-engineering.md>), [coding-assistant](<https://devfeed.tech/tags/coding-assistant.md>), [integration](<https://devfeed.tech/tags/integration.md>), [model-context-protocol-mcp](<https://devfeed.tech/tags/model-context-protocol-mcp.md>), [protocol](<https://devfeed.tech/tags/protocol.md>), [server](<https://devfeed.tech/tags/server.md>), [tool](<https://devfeed.tech/tags/tool.md>)

### AI overview

A beginner-friendly explanation of Model Context Protocol (MCP), a standard interface that lets AI applications communicate with external services. It describes MCP's purpose, core roles, capability discovery, data requests, action invocation, session establishment, and compatibility features.

### Source excerpt

Plus: Big upgrades are coming to LUC. Vote on what you'd like to see first.

## Squid: A Six-Agent Claude Code Setup for Agentic Coding

DevFeed: [Squid: A Six-Agent Claude Code Setup for Agentic Coding](<https://devfeed.tech/articles/from-vibe-coding-to-a-real-engineering-team-18305.md>)

Original publisher: [Read original article](<https://www.decodingai.com/p/squid-my-agentic-coding-setup-may-2026>)

Author: Paul Iusztin

Published: 2026-05-12T11:04:20Z

Content type: article

Language: en

Sources: [Decoding ML](<https://devfeed.tech/sources/decoding-ml.md>)

Topics: [agentic-coding](<https://devfeed.tech/topics/agentic-coding.md>), [Claude Code](<https://devfeed.tech/topics/claude-code.md>), [Vibe coding](<https://devfeed.tech/topics/vibe-coding.md>), [TypeScript](<https://devfeed.tech/topics/typescript.md>), [Model Context Protocol (MCP)](<https://devfeed.tech/topics/model-context-protocol-mcp.md>), [Text-based user interface](<https://devfeed.tech/topics/tui.md>)

Tags: [agentic-coding](<https://devfeed.tech/tags/agentic-coding.md>), [ai-engineering](<https://devfeed.tech/tags/ai-engineering.md>), [claude-code](<https://devfeed.tech/tags/claude-code.md>), [interface](<https://devfeed.tech/tags/interface.md>), [model-context-protocol-mcp](<https://devfeed.tech/tags/model-context-protocol-mcp.md>), [tools](<https://devfeed.tech/tags/tools.md>), [typescript](<https://devfeed.tech/tags/typescript.md>), [vibe-coding](<https://devfeed.tech/tags/vibe-coding.md>)

### AI overview

The article presents Squid, an opinionated six-agent Claude Code setup for shipping software features through a structured, end-to-end engineering lifecycle. It contrasts this agentic-coding workflow with vibe coding and describes its use of specialized agents, MCP, skills, slash commands, and a TypeScript harness.

### Source excerpt

My Claude Code agentic coding setup that ships features end-to-end

## Orchestrating ambient agents with Temporal

DevFeed: [Orchestrating ambient agents with Temporal](<https://devfeed.tech/articles/orchestrating-ambient-agents-with-temporal-35931.md>)

Original publisher: [Read original article](<https://temporal.io/blog/orchestrating-ambient-agents-with-temporal>)

Author: Kevin Martin

Published: 2025-09-18T00:00:00Z

Content type: article

Language: en

Sources: [Temporal Blog](<https://devfeed.tech/sources/temporal-blog.md>)

Topics: [Model Context Protocol (MCP)](<https://devfeed.tech/topics/model-context-protocol-mcp.md>), [AI Agent](<https://devfeed.tech/topics/ai-agent.md>), [Orchestration](<https://devfeed.tech/topics/orchestration.md>), [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [anthropic](<https://devfeed.tech/topics/anthropic.md>), [OpenAI](<https://devfeed.tech/topics/openai.md>)

Tags: [agents](<https://devfeed.tech/tags/agents.md>), [ai-agent](<https://devfeed.tech/tags/ai-agent.md>), [auditability](<https://devfeed.tech/tags/auditability.md>), [crypto](<https://devfeed.tech/tags/crypto.md>), [how-to](<https://devfeed.tech/tags/how-to.md>), [model-context-protocol-mcp](<https://devfeed.tech/tags/model-context-protocol-mcp.md>), [orchestration](<https://devfeed.tech/tags/orchestration.md>)

### AI overview

An article describes a 24/7 crypto trading platform built with multiple AI agents, using Temporal for durable workflow orchestration and the Model Context Protocol for tool interfaces. It explains how schedules, signals and queries, the Temporal UI, workflow orchestration, and MCP tools support proactive and self-refining agent behavior.

### Source excerpt

How Temporal and MCP power a 24/7 crypto trading system of ambient agents: Schedules, Signals and Queries, durable tools, and auditability.

## Building Agents With Heroku AI and Pydantic AI

DevFeed: [Building Agents With Heroku AI and Pydantic AI](<https://devfeed.tech/articles/building-agents-with-heroku-ai-and-pydantic-ai-26380.md>)

Original publisher: [Read original article](<https://www.heroku.com/blog/building-agents-with-heroku-ai-and-pydantic-ai/>)

Author: Anush DSouza

Published: 2025-08-08T16:33:37Z

Content type: tutorial

Language: en

Sources: [Heroku](<https://devfeed.tech/sources/heroku.md>)

Topics: [Heroku](<https://devfeed.tech/topics/heroku.md>), [Pydantic](<https://devfeed.tech/topics/pydantic.md>), [AI Agent](<https://devfeed.tech/topics/ai-agent.md>), [Agent Framework](<https://devfeed.tech/topics/agent-framework.md>), [Model Context Protocol](<https://devfeed.tech/topics/model-context-protocol.md>), [A2A protocol](<https://devfeed.tech/topics/a2a-protocol.md>), [Python](<https://devfeed.tech/topics/python.md>)

Tags: [a2a](<https://devfeed.tech/tags/a2a.md>), [agents](<https://devfeed.tech/tags/agents.md>), [ai](<https://devfeed.tech/tags/ai.md>), [ai-agent](<https://devfeed.tech/tags/ai-agent.md>), [claude](<https://devfeed.tech/tags/claude.md>), [fastapi](<https://devfeed.tech/tags/fastapi.md>), [heroku](<https://devfeed.tech/tags/heroku.md>), [heroku-ai](<https://devfeed.tech/tags/heroku-ai.md>), [managed-inference-and-agents](<https://devfeed.tech/tags/managed-inference-and-agents.md>), [mcp-on-heroku](<https://devfeed.tech/tags/mcp-on-heroku.md>), [model-context-protocol](<https://devfeed.tech/tags/model-context-protocol.md>), [model-context-protocol-mcp](<https://devfeed.tech/tags/model-context-protocol-mcp.md>), [news](<https://devfeed.tech/tags/news.md>), [product-features](<https://devfeed.tech/tags/product-features.md>), [python](<https://devfeed.tech/tags/python.md>)

### AI overview

This tutorial explains how to build production-grade AI agents with Heroku Managed Inference and Agents and the Pydantic AI Python framework. It covers Claude model integration, secure code execution, OpenAI-compatible APIs, environment-variable configuration, MCP client and server support, and exposing agents through the A2A protocol.

### Source excerpt

Building production-grade AI applications can be complex, but with Heroku and Pydantic AI, developers gain a powerful and reliable solution for integrating advanced AI capabilities. Heroku makes it easy to integrate AI into your applications with Heroku Managed Inference and Agents. With a single click, you can attach powerful Large Language Models like Anthropic's Claude [...] The post Building Agents With Heroku AI and Pydantic AI appeared first on Heroku.

## Analyze Your Nx Cloud Runs With Your AI Assistant

DevFeed: [Analyze Your Nx Cloud Runs With Your AI Assistant](<https://devfeed.tech/articles/analyze-your-nx-cloud-runs-with-your-ai-assistant-21428.md>)

Original publisher: [Read original article](<https://nx.dev/blog/nx-cloud-analyze-via-nx-mcp>)

Author: Juri Strumpflohner

Published: 2025-06-25T00:00:00Z

Content type: tutorial

Language: en

Sources: [Juri Strumpflohner](<https://devfeed.tech/sources/juri-strumpflohner.md>)

Topics: [ci](<https://devfeed.tech/topics/ci.md>), [Model Context Protocol (MCP)](<https://devfeed.tech/topics/model-context-protocol-mcp.md>), [Cloud APIs](<https://devfeed.tech/topics/cloud-apis.md>), [Conversational AI](<https://devfeed.tech/topics/conversational-ai.md>), [Architecture & optimization](<https://devfeed.tech/topics/architecture-optimization.md>), [build times](<https://devfeed.tech/topics/build-times.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [ai-assistants](<https://devfeed.tech/tags/ai-assistants.md>), [build-times](<https://devfeed.tech/tags/build-times.md>), [ci](<https://devfeed.tech/tags/ci.md>), [devops](<https://devfeed.tech/tags/devops.md>), [mcp](<https://devfeed.tech/tags/mcp.md>), [model-context-protocol-mcp](<https://devfeed.tech/tags/model-context-protocol-mcp.md>), [nx](<https://devfeed.tech/tags/nx.md>), [nx-cloud](<https://devfeed.tech/tags/nx-cloud.md>), [optimization](<https://devfeed.tech/tags/optimization.md>), [resource](<https://devfeed.tech/tags/resource.md>)

### AI overview

This article explains how Nx Cloud MCP connects AI assistants to live CI data so technical teams can analyze pipeline runs conversationally, identify recurring build and test failures, compare cache performance, and optimize development workflows.

### Source excerpt

Learn how to use Nx Cloud MCP to analyze CI data conversationally with AI assistants, identify failure patterns, and optimize your development pipeline through data-driven insights.

## What's New in GraphOS: Apollo Summer '25 Release - AI-Ready API Orchestration with Enhanced MCP Server, Pricing Plans, and Performance Upgrades

DevFeed: [What's New in GraphOS: Apollo Summer '25 Release - AI-Ready API Orchestration with Enhanced MCP Server, Pricing Plans, and Performance Upgrades](<https://devfeed.tech/articles/what-s-new-in-graphos-apollo-summer-25-release-ai-ready-api-orchestration-with-enhanced-mcp-server-pricing-plans-and-performance-upgrades-23588.md>)

Original publisher: [Read original article](<https://www.apollographql.com/blog/whats-new-in-graphos-apollo-summer-25-release-ai-ready-api-orchestration-with-enhanced-mcp-server-pricing-plans-and-performance-upgrades>)

Author: Rob Brazier

Published: 2025-06-24T08:55:00Z

Content type: release

Language: en

Sources: [Apollo Blog](<https://devfeed.tech/sources/apollo-blog.md>)

Topics: [GraphOS](<https://devfeed.tech/topics/graphos.md>), [MCP Server](<https://devfeed.tech/topics/mcp-server.md>), [Model Context Protocol (MCP)](<https://devfeed.tech/topics/model-context-protocol-mcp.md>), [Apollo Connectors](<https://devfeed.tech/topics/apollo-connectors.md>), [API](<https://devfeed.tech/topics/api.md>), [Deployment](<https://devfeed.tech/topics/deployment.md>), [Self-hosted](<https://devfeed.tech/topics/self-hosted.md>)

Tags: [announcement](<https://devfeed.tech/tags/announcement.md>), [api](<https://devfeed.tech/tags/api.md>), [apollo-connectors](<https://devfeed.tech/tags/apollo-connectors.md>), [apollo-mcp-server](<https://devfeed.tech/tags/apollo-mcp-server.md>), [deployment](<https://devfeed.tech/tags/deployment.md>), [graphos](<https://devfeed.tech/tags/graphos.md>), [model-context-protocol-mcp](<https://devfeed.tech/tags/model-context-protocol-mcp.md>), [performance](<https://devfeed.tech/tags/performance.md>), [release](<https://devfeed.tech/tags/release.md>), [self-hosted](<https://devfeed.tech/tags/self-hosted.md>)

### AI overview

Apollo announces Summer '25 GraphOS platform improvements, including enhanced Apollo MCP Server capabilities, Apollo Connectors batch loading, improved error reporting, a unified runtime container distribution, usage-based pricing plans, and performance upgrades.

### Source excerpt

Today, we're excited to announce a range of new improvements to the Apollo platform, all intended to help you build and operate powerful APIs for your team's AI agents and applications. A quick summary of what we announced: - Apollo MCP Server keeps getting better, now with streamable HTTP support, and an improved tool definition workflow to accelerate your agentic AI development - Apollo Connectors got even more powerful, with support for batch loading and other enhancements - We've improved...

## Scan your AI-generated code from Cursor using Model Context Protocol (MCP)

DevFeed: [Scan your AI-generated code from Cursor using Model Context Protocol (MCP)](<https://devfeed.tech/articles/scan-your-ai-generated-code-from-cursor-using-model-context-protocol-mcp-8074.md>)

Original publisher: [Read original article](<https://snyk.io/blog/scan-your-ai-generated-code-from-cursor-using-model-context-protocol-mcp/>)

Author: Manoj Nair

Published: 2025-06-23T05:00:00Z

Content type: article

Language: en

Sources: [Blog RSS Feed | Snyk](<https://devfeed.tech/sources/blog-rss-feed-snyk.md>)

Topics: [cursor](<https://devfeed.tech/topics/cursor.md>), [MCP Server](<https://devfeed.tech/topics/mcp-server.md>), [Model Context Protocol (MCP)](<https://devfeed.tech/topics/model-context-protocol-mcp.md>), [code security](<https://devfeed.tech/topics/code-security.md>), [Vulnerabilities](<https://devfeed.tech/topics/vulnerabilities.md>), [interoperability](<https://devfeed.tech/topics/interoperability.md>), [Command-line interface](<https://devfeed.tech/topics/cli.md>), [snyk-code](<https://devfeed.tech/topics/snyk-code.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [ai-assistants](<https://devfeed.tech/tags/ai-assistants.md>), [application-security](<https://devfeed.tech/tags/application-security.md>), [awareness](<https://devfeed.tech/tags/awareness.md>), [blog](<https://devfeed.tech/tags/blog.md>), [cli](<https://devfeed.tech/tags/cli.md>), [code-security](<https://devfeed.tech/tags/code-security.md>), [cursor](<https://devfeed.tech/tags/cursor.md>), [customer](<https://devfeed.tech/tags/customer.md>), [developer](<https://devfeed.tech/tags/developer.md>), [interoperability](<https://devfeed.tech/tags/interoperability.md>), [mcp-server](<https://devfeed.tech/tags/mcp-server.md>), [model-context-protocol-mcp](<https://devfeed.tech/tags/model-context-protocol-mcp.md>), [open-source-security](<https://devfeed.tech/tags/open-source-security.md>), [related-content](<https://devfeed.tech/tags/related-content.md>), [security](<https://devfeed.tech/tags/security.md>), [snyk-code](<https://devfeed.tech/tags/snyk-code.md>), [vulnerabilities](<https://devfeed.tech/tags/vulnerabilities.md>)

### AI overview

This article explains how Snyk's CLI MCP server integrates with Cursor to provide in-agent security for AI-generated code. It describes real-time detection of known vulnerabilities in code and open-source packages, with minimal configuration through MCP interoperability.

### Source excerpt

Secure your AI-generated code from Cursor in real-time with Snyk's CLI Model Context Protocol (MCP) server. Detect vulnerabilities and accelerate secure development without compromising agility.

## Your AI Assistant Can Now Read Your Terminal: Real-Time Development Error Fixing

DevFeed: [Your AI Assistant Can Now Read Your Terminal: Real-Time Development Error Fixing](<https://devfeed.tech/articles/your-ai-assistant-can-now-read-your-terminal-real-time-development-error-fixing-21439.md>)

Original publisher: [Read original article](<https://nx.dev/blog/nx-terminal-integration-ai>)

Author: Juri Strumpflohner

Published: 2025-05-28T00:00:00Z

Content type: release

Language: en

Sources: [Juri Strumpflohner](<https://devfeed.tech/sources/juri-strumpflohner.md>)

Topics: [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [Development](<https://devfeed.tech/topics/development.md>), [Terminal](<https://devfeed.tech/topics/terminal.md>), [Model Context Protocol](<https://devfeed.tech/topics/model-context-protocol.md>), [Model Context Protocol (MCP)](<https://devfeed.tech/topics/model-context-protocol-mcp.md>), [real-time](<https://devfeed.tech/topics/real-time.md>), [Command-line interface](<https://devfeed.tech/topics/cli.md>), [Remote Procedure Call (RPC)](<https://devfeed.tech/topics/rpc.md>), [JSON](<https://devfeed.tech/topics/json.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [ai-assistants](<https://devfeed.tech/tags/ai-assistants.md>), [ai-coding](<https://devfeed.tech/tags/ai-coding.md>), [development](<https://devfeed.tech/tags/development.md>), [json](<https://devfeed.tech/tags/json.md>), [model-context-protocol](<https://devfeed.tech/tags/model-context-protocol.md>), [model-context-protocol-mcp](<https://devfeed.tech/tags/model-context-protocol-mcp.md>), [real-time](<https://devfeed.tech/tags/real-time.md>), [rpc](<https://devfeed.tech/tags/rpc.md>), [server](<https://devfeed.tech/tags/server.md>), [terminal](<https://devfeed.tech/tags/terminal.md>), [ui](<https://devfeed.tech/tags/ui.md>), [workflow](<https://devfeed.tech/tags/workflow.md>)

### AI overview

Nx Console enables AI assistants to read Nx terminal output and running task information in real time. The integration uses an MCP connection and JSON-RPC communication to provide development context for debugging errors.

### Source excerpt

Learn how Nx Console now enables AI assistants to read your terminal output in real-time, automatically detecting and fixing development errors as they happen.

## How I Improved My Productivity with Cursor and the Heroku MCP Server

DevFeed: [How I Improved My Productivity with Cursor and the Heroku MCP Server](<https://devfeed.tech/articles/how-i-improved-my-productivity-with-cursor-and-the-heroku-mcp-server-26451.md>)

Original publisher: [Read original article](<https://www.heroku.com/blog/improved-my-productivity-cursor-and-heroku-mcp-server/>)

Author: Julián Duque

Published: 2025-05-05T08:00:12Z

Content type: tutorial

Language: en

Sources: [Heroku](<https://devfeed.tech/sources/heroku.md>)

Topics: [cursor](<https://devfeed.tech/topics/cursor.md>), [Model Context Protocol (MCP)](<https://devfeed.tech/topics/model-context-protocol-mcp.md>), [Heroku](<https://devfeed.tech/topics/heroku.md>), [Heroku AI](<https://devfeed.tech/topics/heroku-ai.md>), [JavaScript](<https://devfeed.tech/topics/javascript.md>), [Front end](<https://devfeed.tech/topics/frontend.md>), [Back end](<https://devfeed.tech/topics/backend.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [backend](<https://devfeed.tech/tags/backend.md>), [coding](<https://devfeed.tech/tags/coding.md>), [cursor](<https://devfeed.tech/tags/cursor.md>), [developer-tools](<https://devfeed.tech/tags/developer-tools.md>), [engineering](<https://devfeed.tech/tags/engineering.md>), [front-end](<https://devfeed.tech/tags/front-end.md>), [heroku](<https://devfeed.tech/tags/heroku.md>), [heroku-ai](<https://devfeed.tech/tags/heroku-ai.md>), [javascript](<https://devfeed.tech/tags/javascript.md>), [mcp-on-heroku](<https://devfeed.tech/tags/mcp-on-heroku.md>), [model-context-protocol](<https://devfeed.tech/tags/model-context-protocol.md>), [model-context-protocol-mcp](<https://devfeed.tech/tags/model-context-protocol-mcp.md>)

### AI overview

The article describes how the author uses Cursor with the Heroku MCP Server to deploy and scale applications from within the code editor. It explains MCP's client-server model and how it connects AI assistants to external tools and data sources.

### Source excerpt

Generative AI has been one incredible tool to improve my productivity not only for work but for personal projects too. I use it every day, from generating stories and images for my online role playing games to solving code and engineering problems and building awesome demos. Lately I've leaned into Cursor as my go-to AI [...] The post How I Improved My Productivity with Cursor and the Heroku MCP Server appeared first on Heroku.

## Generate MCP servers from your docs

DevFeed: [Generate MCP servers from your docs](<https://devfeed.tech/articles/generate-mcp-servers-from-your-docs-31014.md>)

Original publisher: [Read original article](<https://www.mintlify.com/blog/generate-mcp-servers-for-your-docs>)

Author: Han Wang

Published: 2025-03-06T00:00:00Z

Content type: release

Language: en

Sources: [Mintlify Blog](<https://devfeed.tech/sources/mintlify-blog.md>)

Topics: [Model Context Protocol (MCP)](<https://devfeed.tech/topics/model-context-protocol-mcp.md>), [Documentation](<https://devfeed.tech/topics/documentation.md>), [API](<https://devfeed.tech/topics/api.md>), [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [Command-line interface](<https://devfeed.tech/topics/cli.md>), [OpenAPI Specification](<https://devfeed.tech/topics/openapi.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [ai-trends](<https://devfeed.tech/tags/ai-trends.md>), [api](<https://devfeed.tech/tags/api.md>), [cli](<https://devfeed.tech/tags/cli.md>), [docs](<https://devfeed.tech/tags/docs.md>), [generate](<https://devfeed.tech/tags/generate.md>), [mcp-server](<https://devfeed.tech/tags/mcp-server.md>), [model-context-protocol-mcp](<https://devfeed.tech/tags/model-context-protocol-mcp.md>), [openapi](<https://devfeed.tech/tags/openapi.md>), [real-time](<https://devfeed.tech/tags/real-time.md>)

### AI overview

Mintlify introduced automatic generation of Model Context Protocol (MCP) servers from documentation. The generated servers let AI applications search documentation for contextual answers and query APIs or execute actions in real time, using existing documentation and data structures such as OpenAPI specifications.

### Source excerpt

Everything that you need to build a Model Context Protocol (MCP) server is already available in your docs.