# Apollo MCP Server Published articles for Apollo MCP Server. This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## Apollo GraphOS and Apollo MCP Server Named 2026 API Award Winners DevFeed: [Apollo GraphOS and Apollo MCP Server Named 2026 API Award Winners]() Original publisher: [Read original article]() Author: Jennifer Tyrseck Published: 2026-09-02T16:44:59Z Content type: release Language: en Sources: [Apollo Blog]() Topics: [API](), [MCP Server](), [GraphQL](), [Model Context Protocol](), [Orchestration]() Tags: [2026](), [agents](), [announcement](), [api](), [api-ecosystem](), [apollo-mcp-server](), [graphos](), [graphql](), [mcp](), [mcp-server]() ### AI overview Apollo GraphOS and Apollo MCP Server won 2026 API Awards in the Best Innovation in API Orchestration and Best Innovation in AI API categories, respectively. The article describes GraphOS as a platform for federating and governing APIs and Apollo MCP Server as a way to expose GraphQL APIs for direct use by AI agents through the Model Context Protocol. ### Source excerpt Exposing GraphQL APIs as tools AI agents can call directly earned Apollo MCP Server a 2026 API Award for Best Innovation in AI API. See why. ## Where Apollo MCP Server Stands on the OWASP MCP Top 10 DevFeed: [Where Apollo MCP Server Stands on the OWASP MCP Top 10]() Original publisher: [Read original article]() Author: Camille Lawrence Published: 2026-08-14T17:11:10Z Content type: article Language: en Sources: [Apollo Blog]() Topics: [Model Context Protocol](), [MCP Server](), [audit](), [Shared Responsibility Model](), [configuration](), [GraphQL](), [Rust](), [Self-hosted]() Tags: [announcement](), [apollo](), [apollo-mcp-server](), [audit](), [configuration](), [graphql](), [hardening](), [mcp](), [mcp-server](), [rust](), [self-hosted](), [shared-responsibility]() ### AI overview This article evaluates Apollo MCP Server against all ten risks in the latest reviewed OWASP MCP Top 10 revision. It finds that the server's architecture directly closes one risk because typed GraphQL operations are parsed and type-checked without shell execution. The remaining risks require configuration, monitoring, and team-owned security decisions. ### Source excerpt Architecture alone closes 1 of the ten risks in OWASP's MCP Top 10. See how Apollo MCP Server scores on the rest, and which configuration choices remain yours. ## An experiment compares AI agent performance with and without Agent Skills DevFeed: [An experiment compares AI agent performance with and without Agent Skills]() Original publisher: [Read original article]() Author: Dale Seo Published: 2026-04-07T09:00:00Z Content type: comparison Language: en Sources: [Apollo Blog]() Topics: [Agent Skills](), [AI Agent](), [MCP Server](), [GraphQL](), [Claude Code](), [Claude]() Tags: [agent-skills](), [ai-agents](), [apollo-mcp-server](), [claude](), [claude-code](), [graphql](), [mcp-server](), [skills]() ### AI overview A controlled comparison found that Agent Skills reduced an AI agent's token consumption from 65,000 to 24,000 and cut completion time from five minutes to under two while producing the same result. ### Source excerpt Apollo Skills cut AI agent token usage and completion time down significantly -- same result, far less cost. Here's what the experiment revealed. ## How to Orchestrate Multiple APIs for Your LLM Agent DevFeed: [How to Orchestrate Multiple APIs for Your LLM Agent]() Original publisher: [Read original article]() Author: Kaitlyn Barnard Published: 2026-03-26T10:00:28Z Content type: tutorial Language: en Sources: [Apollo Blog]() Topics: [GraphQL](), [Model Context Protocol]() Tags: [agent](), [apollo-mcp-server](), [graphql](), [llm](), [mcp]() ### AI overview This tutorial explains how GraphQL and Apollo MCP Server can expose existing GraphQL operations as tools for LLM agents, reducing the need for custom integrations across multiple APIs. ### Source excerpt Learn how to orchestrate multiple APIs for LLM agents using GraphQL and Apollo MCP Server--unlock reliable, governed access to your data without custom integrations. ## How To Make Your Existing GraphQL API AI-Ready With Apollo DevFeed: [How To Make Your Existing GraphQL API AI-Ready With Apollo]() Original publisher: [Read original article]() Author: Kaitlyn Barnard Published: 2026-03-19T10:00:17Z Content type: tutorial Language: en Sources: [Apollo Blog]() Topics: [GraphQL](), [Model Context Protocol (MCP)](), [MCP Server](), [Large Language Model](), [schema design](), [Artificial Intelligence]() Tags: [agents](), [ai-agents](), [apollo-mcp-server](), [best-practices](), [graphql](), [llm](), [mcp-server](), [schema-design]() ### AI overview A guide to making an existing GraphQL API usable by AI agents. It explains how GraphQL's type system and introspection help agents, why schema design should account for LLM consumption, and how Apollo MCP Server exposes GraphQL through the standardized Model Context Protocol without requiring infrastructure changes. ### Source excerpt Turn your existing GraphQL API into a powerful interface for AI agents--learn schema design best practices and how Apollo MCP Server enables reliable, standardized LLM integration without changing your infrastructure. ## How to Build AI Agents Using Your GraphQL Schema DevFeed: [How to Build AI Agents Using Your GraphQL Schema]() Original publisher: [Read original article]() Author: Kaitlyn Barnard Published: 2026-03-12T10:00:55Z Content type: tutorial Language: en Sources: [Apollo Blog]() Topics: [GraphQL](), [AI Agent](), [Model Context Protocol (MCP)](), [API]() Tags: [api](), [apollo-mcp-server](), [build-ai-agents](), [graphql](), [how-to](), [model-context-protocol]() ### AI overview A tutorial explaining how to connect an AI agent to a live GraphQL API using Apollo MCP Server. It describes how GraphQL schemas provide structured, machine-readable context and how MCP standardizes agent-to-tool communication without changing the existing backend. ### Source excerpt AI agents are evolving at a remarkable pace. In just the past year, they've gone from experimental demos to production tools capable of planning and executing multi-step workflows. But for most engineering teams, the real question isn't whether agents are powerful. It's how to connect them to the applications and data you already have. If your team already maintains a mature GraphQL API, you're closer than you think. ## Building a Secure AI Agent API Stack with GraphQL, Apollo Skills, and MCP Server DevFeed: [Building a Secure AI Agent API Stack with GraphQL, Apollo Skills, and MCP Server]() Original publisher: [Read original article]() Author: Camille Lawrence Published: 2026-03-05T09:00:06Z Content type: tutorial Language: en Sources: [Apollo Blog]() Topics: [GraphQL](), [AI Agent](), [MCP Server](), [API](), [Architecture & Design](), [Security]() Tags: [ai](), [ai-agent](), [api](), [apollo-mcp-server](), [architecture](), [graphql](), [mcp-server](), [security]() ### AI overview This tutorial presents GraphQL, Apollo Skills, and Apollo MCP Server as complementary layers for giving AI agents secure and reliable access to APIs. It explains how GraphQL provides typed, pre-execution validation and precise data selection, while the broader stack addresses agent patterns, conventions, and controlled capabilities. ### Source excerpt Learn how to use GraphQL, Apollo Skills, and Model Context Protocol (MCP) to build secure, reliable AI agent integrations with your APIs. ## Connect AI Agents to Your GraphQL API Using MCP and Type-Safe Tool Configuration DevFeed: [Connect AI Agents to Your GraphQL API Using MCP and Type-Safe Tool Configuration]() Original publisher: [Read original article]() Author: Camille Lawrence Published: 2026-02-26T12:00:45Z Content type: tutorial Language: en Sources: [Apollo Blog]() Topics: [GraphQL](), [Model Context Protocol](), [MCP Server](), [configuration](), [Artificial Intelligence]() Tags: [ai-agents](), [apollo-mcp-server](), [configuration](), [graphql](), [how-to](), [mcp](), [mcp-server](), [security]() ### AI overview This tutorial explains how to connect AI agents to GraphQL APIs through Apollo MCP Server. It presents three patterns for exposing GraphQL operations as MCP tools: predefined operations from files, persisted queries from Apollo GraphOS, and dynamic operations using MCP introspection tools. It also discusses type-based parameter handling, safelisting, security boundaries, and the tradeoffs of each pattern. ### Source excerpt Learn how to connect AI agents to your GraphQL API using Model Context Protocol (MCP) with type-safe configuration, secure execution, and flexible tool patterns. ## Apollo Skills: Teaching AI Agents How to Use Apollo and GraphQL DevFeed: [Apollo Skills: Teaching AI Agents How to Use Apollo and GraphQL]() Original publisher: [Read original article]() Author: Dale Seo Published: 2026-02-03T12:00:35Z Content type: article Language: en Sources: [Apollo Blog]() Topics: [GraphQL](), [AI Agent](), [apollo-client](), [apollo-server](), [cursor](), [GitHub Copilot](), [Kiro](), [Structured-data](), [Tooling](), [Open Source]() Tags: [ai-agent](), [ai-agents](), [apollo](), [apollo-client](), [apollo-mcp-server](), [claude-code](), [copilot](), [cursor](), [graphql](), [open-source](), [schema-design](), [tooling]() ### AI overview Apollo describes Apollo Skills, an open-source artifact designed to give AI agents persistent guidance on Apollo and GraphQL practices. The article explains that agents often repeat outdated or suboptimal patterns and says the skills cover Apollo Client, Apollo Server, Connectors, schema design, and operations. The skills work with Claude Code, Cursor, and GitHub Copilot. ### Source excerpt Apollo Skills teaches AI agents to write production-quality GraphQL. Covers Apollo Client, Apollo Server, Connectors, schema design, and operations. Install: npx skills add apollographql/skills. Works with Claude Code, Cursor, Copilot. Open source at github.com/apollographql/skills ## Building Apps for ChatGPT with Apollo MCP Server and Apollo Client DevFeed: [Building Apps for ChatGPT with Apollo MCP Server and Apollo Client]() Original publisher: [Read original article]() Author: Andrew McGivery Published: 2025-12-18T17:02:39Z Content type: tutorial Language: en Sources: [Apollo Blog]() Topics: [apollo-client](), [ChatGPT](), [MCP Server](), [Tutorial](), [App](), [Model Context Protocol]() Tags: [announcement](), [apollo-client](), [apollo-mcp-server](), [apps](), [chatgpt](), [mcp](), [tutorial]() ### AI overview A tutorial on building ChatGPT apps with Apollo Client and Apollo MCP Server. It presents Apollo's stack for creating conversational apps that use MCP and interactive user interfaces. ### Source excerpt This post will introduce a tutorial on how to build an app for ChatGPT using Apollo Client and Apollo MCP Server. You'll have what you need to get started with our opinionated stack for building these apps. ## How Wiz Is Redefining Partner Velocity with Apollo MCP DevFeed: [How Wiz Is Redefining Partner Velocity with Apollo MCP]() Original publisher: [Read original article]() Author: Valeria Gomez Published: 2025-11-20T11:00:00Z Content type: article Language: en Sources: [Apollo Blog]() Topics: [Model Context Protocol (MCP)](), [MCP Server](), [GraphQL](), [Artificial Intelligence](), [ide](), [Cybersecurity]() Tags: [agents](), [ai](), [apollo-mcp-server](), [events](), [graphql](), [ide](), [mcp](), [mcp-server](), [model-context-protocol](), [security]() ### AI overview The article describes how Wiz uses Apollo MCP Server and Wiz MCP to help AI agents build and validate GraphQL integrations within the IDE. The combined approach exposes approved queries, documentation, authentication guidance, and real response structures so agents can generate integrations with less manual work and fewer assumptions. ### Source excerpt At GraphQL Summit, Wiz shared how the Apollo MCP Server helps bring security and speed together in the IDE Vibe coding, or shipping with AI in the loop, is already here. Developers expect their agents to read the docs, write the call, test it, and move on. Security teams are racing to keep up. ## Apollo MCP Server 1.0 is Generally Available DevFeed: [Apollo MCP Server 1.0 is Generally Available]() Original publisher: [Read original article]() Author: Kevin Chu Published: 2025-10-07T07:00:57Z Content type: release Language: en Sources: [Apollo Blog]() Topics: [GraphQL](), [MCP](), [MCP Server](), [Large Language Model](), [Claude](), [GraphOS]() Tags: [agentic](), [announcement](), [apollo-mcp-server](), [claude](), [context-window](), [cursor](), [graphos](), [graphql](), [hot-reloading](), [llms](), [mcp](), [mcp-server](), [tools]() ### AI overview Apollo announces the general availability of Apollo MCP Server 1.0, which connects GraphQL APIs to LLM applications through MCP. The article describes converting GraphQL operations into MCP tools, hot-reloading, schema introspection, semantic search, and result minification for more efficient agent interactions. ### Source excerpt Today we're announcing the general availability of Apollo MCP Server 1.0! If you're building agentic applications, you know the challenge: LLMs need reliable, efficient access to your APIs. MCP provides the standard for this connection, and Apollo MCP Server provides a standard-based way to connect any GraphQL API to LLMs. As teams race from experiments to production in this emerging agentic world, the Apollo MCP Server is the powerful, supported, and reliable tool they need. ## Apollo announces Apollo MCP Server 1.0 and GraphQL platform updates at GraphQL Summit 2025 DevFeed: [Apollo announces Apollo MCP Server 1.0 and GraphQL platform updates at GraphQL Summit 2025]() Original publisher: [Read original article]() Author: Rob Brazier Published: 2025-10-07T07:00:24Z Content type: release Language: en Sources: [Apollo Blog]() Topics: [GraphQL](), [MCP](), [MCP Server](), [API](), [Large Language Model](), [Orchestration](), [Security](), [observability](), [OpenTelemetry](), [OAuth](), [Deployment]() Tags: [2025](), [ai](), [announcement](), [api](), [apollo-mcp-server](), [authorization](), [graphql](), [llm-agents](), [mcp](), [mcp-server](), [oauth](), [observability](), [opentelemetry](), [orchestration]() ### AI overview Apollo's GraphQL Summit 2025 announcements include the generally available Apollo MCP Server 1.0, which connects LLM agents to GraphQL APIs by turning GraphQL operations into MCP tools. The release also adds optional schema discovery tools, operation guardrails, OpenTelemetry integration, and OAuth 2.1 support. ### Source excerpt Software delivery isn't slowing down, and neither is Apollo. At GraphQL Summit 2025, we're showcasing a platform that's now even easier to use, enables you to connect your APIs and development workflows to agents, and accelerates your graph development. AI is exerting immense pressure on both businesses and platform teams. Organizations have the opportunity to build better experiences and to get them to customers faster, but platforms need to be ready to support them. ## Smart Schema Discovery: How Apollo MCP Server Maximizes AI Context Efficiency DevFeed: [Smart Schema Discovery: How Apollo MCP Server Maximizes AI Context Efficiency]() Original publisher: [Read original article]() Author: Dale Seo Published: 2025-09-17T10:20:51Z Content type: tutorial Language: en Sources: [Apollo Blog]() Topics: [GraphQL](), [MCP Server](), [AI Agent](), [context window]() Tags: [ai](), [ai-agent](), [apollo-mcp-server](), [context-window](), [graphql](), [mcp-server]() ### AI overview This developer article explains how Apollo MCP Server's semantic schema search and tool output minification help AI agents work with large GraphQL schemas while using less context-window capacity. ### Source excerpt Building efficient AI agents means making every token count. Here's how Apollo MCP Server's new search and minification capabilities help AI models navigate large GraphQL schemas without breaking the context window budget. Picture this: your AI agent needs to help a user find their recent orders from your e-commerce GraphQL API. Your schema has hundreds of types and complex relationships between users, products, orders, payments, and shipping. ## 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]() Original publisher: [Read original article]() Author: Rob Brazier Published: 2025-06-24T08:55:00Z Content type: release Language: en Sources: [Apollo Blog]() Topics: [GraphOS](), [MCP Server](), [Model Context Protocol (MCP)](), [Apollo Connectors](), [API](), [Deployment](), [Self-hosted]() Tags: [announcement](), [api](), [apollo-connectors](), [apollo-mcp-server](), [deployment](), [graphos](), [model-context-protocol-mcp](), [performance](), [release](), [self-hosted]() ### 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... ## Building Efficient AI Agents with GraphQL and Apollo MCP Server DevFeed: [Building Efficient AI Agents with GraphQL and Apollo MCP Server]() Original publisher: [Read original article]() Author: Matt Hawkins Published: 2025-06-24T08:54:47Z Content type: tutorial Language: en Sources: [Apollo Blog]() Topics: [AI Agent](), [GraphQL](), [MCP Server](), [context window](), [API](), [Large Language Model]() Tags: [ai-agents](), [apis](), [apollo-mcp-server](), [context-window](), [graphql](), [latency](), [mcp-server]() ### AI overview The article explains how GraphQL can make AI agents more efficient by letting them request only the data they need, reducing unnecessary token usage, costs, and latency. It also describes how Apollo MCP Server exposes GraphQL operations as MCP tools, including operations saved in Apollo Explorer and an Operations Collection. ### Source excerpt When you're building AI Agents, you're not just writing code-you're managing a scarce resource: the context window. Every interaction between your agent and an LLM consumes tokens, and these tokens translate directly into costs, latency, and limitations on what your agent can accomplish. Consider what happens when an AI agent needs to fetch data from your APIs. ## Using GraphQL Operations as MCP Tools for LLM API Interaction DevFeed: [Using GraphQL Operations as MCP Tools for LLM API Interaction]() Original publisher: [Read original article]() Author: Michael Watson Published: 2025-05-22T12:59:07Z Content type: tutorial Language: en Sources: [Apollo Blog]() Topics: [GraphQL](), [Model Context Protocol](), [Large Language Model](), [API]() Tags: [api](), [apollo-mcp-server](), [graphql](), [llms](), [mcp]() ### AI overview This tutorial examines MCP server development with Python and TypeScript, using a Python community launch-library server based on the Launch Library REST API. It contrasts endpoint-specific REST tools with GraphQL operations, noting that multiple REST tools can add code, context-window noise, and tool-call overhead for LLMs. ### Source excerpt After Apollo recently released the Apollo MCP Server that allows you to generate tools for any GraphQL API, I have been investigating MCP server development within Python and Typescript frameworks. It's easy enough to build a simple tool, but I found myself feeling déjà vu as if I were building applications before GraphQL was released. Each tool I wrote started to get more complex and I quickly started seeing multiple API fetches happen in the same tool. ## The Future of MCP is GraphQL DevFeed: [The Future of MCP is GraphQL]() Original publisher: [Read original article]() Author: Matt DeBergalis Published: 2025-05-15T09:04:00Z Content type: release Language: en Sources: [Apollo Blog]() Topics: [Model Context Protocol](), [GraphQL](), [MCP Server](), [Artificial Intelligence](), [API](), [Large Language Model](), [Claude]() Tags: [ai](), [announcement](), [apis](), [apollo-mcp-server](), [claude](), [graphql](), [llms](), [mcp](), [model-context-protocol]() ### AI overview Apollo introduces Apollo MCP Server, which lets AI systems such as Claude and GPT interact with organizational APIs through GraphQL. The article argues that GraphQL-enabled MCP can help address requirements such as deterministic execution, focused context, and policy enforcement in complex AI systems. ### Source excerpt Today we're introducing Apollo MCP Server, enabling AI systems like Claude and GPT to interact with your organization's APIs through GraphQL. While you can learn more about how to get started here, I wanted to share why we think GraphQL enabled by Model Context Protocol (MCP) will be an essential part of a modern AI stack. Connecting AIs to APIs MCP - a new protocol that standardizes how LLMs interface with external systems - opens the door wide open to agentic applications.