# Apollo Blog Apollo GraphQL blog posts This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## What's New in Apollo Client 4.3 DevFeed: [What's New in Apollo Client 4.3]() Original publisher: [Read original article]() Author: Jerel Miller Published: 2026-09-15T12:01:05Z Content type: release Language: en Sources: [Apollo Blog]() Topics: [apollo-client](), [GraphQL](), [TypeScript](), [Cache](), [Code generation]() Tags: [apollo-client](), [cache](), [codegen](), [graphql](), [native](), [typescript]() ### AI overview Apollo Client 4.3 adds native custom scalar support, type-safe cache access, and improved TypeScript handling for incremental GraphQL data. The release also updates generated types and data-state narrowing for deferred fields. ### Source excerpt Apollo Client 4.3 is here: native custom scalar support, type-safe cache access, and more consistent @defer and @stream behavior. See what's new and upgrade today. ## Apollo Client 4.3 adds native custom scalar support and safer TypeScript types DevFeed: [Apollo Client 4.3 adds native custom scalar support and safer TypeScript types]() Original publisher: [Read original article]() Author: Jerel Miller Published: 2026-09-15T12:01:05Z Content type: release Language: en Sources: [Apollo Blog]() Topics: [GraphQL](), [TypeScript](), [Cache](), [Caching](), [JSON]() Tags: [cache](), [graphql](), [json](), [typescript](), [upgrade]() ### AI overview Apollo Client 4.3 adds native custom scalar integration, type-safe cache access, and improved TypeScript handling for incremental GraphQL data. ### Source excerpt Apollo Client 4.3 is here: native custom scalar support, type-safe cache access, and more consistent @defer and @stream behavior. See what's new and upgrade today. ## 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. ## Apollo Summit 2026: Turn Your API Platform Into Your AI Platform DevFeed: [Apollo Summit 2026: Turn Your API Platform Into Your AI Platform]() Original publisher: [Read original article]() Author: Eric Holzhauer Published: 2026-08-04T12:00:00Z Content type: article Language: en Sources: [Apollo Blog]() Topics: [GraphQL](), [GraphOS](), [AI Platform](), [API Platform]() Tags: [2026](), [agent](), [agents](), [ai-agents](), [ai-platform](), [announcement](), [api-platform](), [apollo](), [graphos](), [graphql](), [mcp](), [summit]() ### AI overview Apollo Summit 2026 will take place in San Francisco from October 6 to 8. The article previews sessions and workshops on using governed GraphQL graphs as an access and context layer for applications and AI agents, including case studies from Block, Brex, Coolblue, and Starbucks. ### Source excerpt Turning an API platform into an AI platform starts with a governed graph. See real patterns from Block, Brex, and Starbucks at Apollo Summit 2026, Oct 6-8. ## GraphQL's Maturity and Readiness for Production and Agentic Workflows DevFeed: [GraphQL's Maturity and Readiness for Production and Agentic Workflows]() Original publisher: [Read original article]() Author: Jeff Auriemma Published: 2026-07-29T14:02:52Z Content type: opinion Language: en Sources: [Apollo Blog]() Topics: [GraphQL](), [Orchestration](), [agentic workflows](), [AI Agent]() Tags: [2026](), [agentic-workflows](), [ai-agents](), [announcement](), [enterprise](), [gartner](), [graphql](), [linux-foundation](), [orchestration](), [standards]() ### AI overview The article argues that GraphQL's placement in Gartner's Trough of Disillusionment reflects a useful shift from hype toward evaluating production readiness. It says GraphQL's existing enterprise adoption may better prepare companies to deploy AI agents, while forecasting that GraphQL will reach the Plateau of Productivity in less than two years. ### Source excerpt American Airlines built its API orchestration layer before AI agents existed, then used it as the agent layer. See why using GraphQL is the real head start. ## What's new in Graph Artifacts DevFeed: [What's new in Graph Artifacts]() Original publisher: [Read original article]() Author: Zack Warnimont Published: 2026-07-27T09:00:00Z Content type: release Language: en Sources: [Apollo Blog]() Topics: [GraphOS](), [Platform API](), [Deployment](), [Command-line interface](), [Containers](), [CI/CD]() Tags: [announcement](), [api](), [apis](), [ci-cd](), [cli](), [container-registry](), [deployment](), [graphos](), [oci](), [registry](), [release](), [router]() ### AI overview This release adds GraphOS artifact tag management across Rover and Studio. Teams can assign, list, fetch, and delete tags from Rover, view tags alongside artifact digests in Studio, and use OCI-compliant registry APIs. User-managed tags support promotion and rollback workflows, while tag reassignment hot-reloads automatically on Router v2.11.0 and later. ### Source excerpt When we launched Graph Artifacts, we gave teams a way to pin their GraphOS Router to a specific, immutable supergraph schema version using SHA digests. Graph artifacts are stored using OCI-compliant registries, and tagging is a native concept at that layer. A tag is just a mutable pointer to an immutable digest. In principle, nothing stopped a team from tagging an artifact prod and having their router resolve it. ## GraphOS MCP Server Connects AI Agents to Graph Health Checks DevFeed: [GraphOS MCP Server Connects AI Agents to Graph Health Checks]() Original publisher: [Read original article]() Author: Dale Seo Published: 2026-07-21T12:03:01Z Content type: release Language: en Sources: [Apollo Blog]() Topics: [GraphOS](), [MCP Server](), [Artificial Intelligence](), [health checks]() Tags: [ai](), [ai-agents](), [announcement](), [graphos](), [health-checks](), [mcp-server](), [metrics]() ### AI overview Apollo announces GraphOS MCP Server, a hosted MCP server that connects AI agents to GraphOS. Agents can access graph health information including launch status, lint results, router configuration, and traffic metrics. ### Source excerpt GraphOS MCP Server connects AI agents to GraphOS, so agents can run graph health checks: launch status, lint results, router config, and traffic metrics. ## What's New in Rover: Docker Image, Schema Search, Client Checks, and More DevFeed: [What's New in Rover: Docker Image, Schema Search, Client Checks, and More]() Original publisher: [Read original article]() Author: Kaitlyn Barnard Published: 2026-07-17T11:24:07Z Content type: release Language: en Sources: [Apollo Blog]() Topics: [GraphQL](), [GraphOS](), [Docker](), [Docker Image](), [Command-line interface](), [GitHub Container Registry](), [CI/CD](), [AI research agents]() Tags: [agents](), [announcement](), [ci-cd](), [cli](), [container-image](), [feature](), [github-container-registry](), [graphos](), [graphql]() ### AI overview Apollo's latest Rover release adds an official immutable Docker image, atomic schema check-and-publish, native client operation checks, and schema search commands for teams building AI agents. ### Source excerpt Rover's latest release adds an official Docker image, atomic check-and-publish, native client checks, and schema search for agents. ## Apollo's New API IP Allowlist Policy DevFeed: [Apollo's New API IP Allowlist Policy]() Original publisher: [Read original article]() Author: David Glasser Published: 2026-07-15T12:00:00Z Content type: release Language: en Sources: [Apollo Blog]() Topics: [GraphOS](), [API](), [Firewall](), [gateway](), [Network](), [configuration]() Tags: [announcement](), [api](), [configuration](), [firewall](), [gateway](), [graphos](), [infrastructure](), [installation](), [network](), [operational](), [published](), [router](), [schema](), [trust-center]() ### AI overview Apollo has published an API IP Allowlist Policy for GraphOS Router and Apollo Gateway deployments that restrict outbound access by IP address. The policy covers Apollo Uplink endpoints, documents their current IP addresses, and promises at least 60 days' notice before adding new IPs. Apollo also plans to add a second IP per covered service no earlier than September 16, 2026. ### Source excerpt Restricting outbound traffic by IP? GraphOS Router now needs a second Uplink IP allowlisted before September 16, 2026. See what Apollo's new policy covers. ## Apollo GraphOS Schema Proposals adds diff navigation, conflict resolution, richer webhooks, and workflow improvements DevFeed: [Apollo GraphOS Schema Proposals adds diff navigation, conflict resolution, richer webhooks, and workflow improvements]() Original publisher: [Read original article]() Author: Ana De Magalhães Published: 2026-07-01T09:00:00Z Content type: release Language: en Sources: [Apollo Blog]() Topics: [GraphOS](), [API](), [consistency]() Tags: [announcement](), [api](), [apollo](), [consistency](), [graphos](), [notifications](), [schema](), [slack](), [webhooks]() ### AI overview Apollo GraphOS introduces improvements to Schema Proposals for drafting and reviewing graph schema changes. The release adds diff navigation, clearer revision and source-variant information, inline conflict handling, richer webhook notifications, API updates for coverage detection and automated pipelines, and consistency improvements. ### Source excerpt Apollo GraphOS Schema Proposals adds diff navigation, inline conflict resolution, clearer revisions, enriched webhooks, and Slack notifications. Built for how platform teams ship schema changes. ## API Key Management now in GraphOS Studio DevFeed: [API Key Management now in GraphOS Studio]() Original publisher: [Read original article]() Author: Meryl Charleston Published: 2026-06-02T09:00:00Z Content type: release Language: en Sources: [Apollo Blog]() Topics: [API keys](), [GraphQL](), [Security](), [Authorization]() Tags: [announcement](), [api](), [api-keys](), [audit-trail](), [graphos](), [graphql](), [incident-response](), [management](), [security]() ### AI overview Apollo launched an API keys page in GraphOS Studio for viewing and managing SCIM, subgraph, and operator keys. The page supports searching, filtering, creation, expiration updates, rotation, revocation, and deletion while preserving records for investigation and audits. ### Source excerpt Unified API key management for GraphQL teams. Create, rotate, and revoke SCIM, subgraph, and operator keys in GraphOS Studio without disrupting workflows. ## What's New in Apollo Client 4.2 DevFeed: [What's New in Apollo Client 4.2]() Original publisher: [Read original article]() Author: Jerel Miller Published: 2026-05-27T11:33:11Z Content type: release Language: en Sources: [Apollo Blog]() Topics: [apollo-client](), [TypeScript](), [React Hooks](), [browser]() Tags: [announce](), [announcement](), [apollo-client](), [browser](), [react-hooks](), [release](), [typescript]() ### AI overview Apollo Client 4.2 introduces type-safe default options and event-based refetching. The release also deprecates generic arguments in hooks and core APIs to support the new type-safety model. ### Source excerpt Discover Apollo Client 4.2's type-safe default options and event-based refetching. Eliminate type mismatches and automatically refetch on window focus. Learn how. ## Apollo Kotlin 5 Is Now Available DevFeed: [Apollo Kotlin 5 Is Now Available]() Original publisher: [Read original article]() Author: Martin Bonnin Published: 2026-05-13T12:00:25Z Content type: release Language: en Sources: [Apollo Blog]() Topics: [Kotlin](), [GraphQL](), [Cache](), [Caching](), [Gradle](), [Maven Central](), [Agent Skills]() Tags: [agent-skills](), [cache](), [changelog](), [community](), [gradle](), [gradle-plugin](), [graphql](), [kotlin](), [kotlin-multiplatform](), [maven-central]() ### AI overview Apollo Kotlin 5 is available on Maven Central with GraphQL Golden Path support, a new normalized cache, a modernized Gradle plugin, compiler plugin APIs, and an Apollo Kotlin agent skill. The release includes experimental GraphQL RFC support and provides a migration path from version 4. ### Source excerpt Apollo Kotlin 5 is now available on Maven Central. GraphQL Golden Path ready, with a new normalized cache, agent skills support, and a modernized Gradle plugin. ## Apollo Federation Goes Full Rust DevFeed: [Apollo Federation Goes Full Rust]() Original publisher: [Read original article]() Author: David Walter Published: 2026-05-07T17:50:09Z Content type: article Language: en Sources: [Apollo Blog]() Topics: [Rust](), [JavaScript](), [monorepo]() Tags: [announcement](), [apollo-federation](), [monorepo](), [performance](), [preview](), [rust]() ### AI overview Apollo Federation is releasing a preview of Rust-native composition. The Rust implementation is reported to be roughly 27x faster at the median, 8.5x faster at p95, and 6x faster at p99 across production graphs, while unifying the query planner and composition engine in one Rust monorepo. ### Source excerpt Rust-native composition for Apollo Federation is in preview: 27x faster at the median, unified codebase. Enable Federation Next in GraphOS Studio. ## Apollo is Recognized in Gartner® Voice of the Customer DevFeed: [Apollo is Recognized in Gartner® Voice of the Customer]() Original publisher: [Read original article]() Author: Ilan Belehssen Published: 2026-04-29T16:05:06Z Content type: release Language: en Sources: [Apollo Blog]() Topics: [API](), [GraphOS]() Tags: [2026](), [announcement](), [api-management](), [apollo](), [apollo-connectors](), [customers](), [graphos](), [report](), [rest-apis]() ### AI overview Apollo announces that it was recognized for the first time in the 2026 Gartner Peer Insights "Voice of the Customer" report for API Management. The article reports a 4.7 out of 5 rating from 55 verified enterprise reviewers, with 98% saying they would recommend Apollo as of January 31, 2026, and says Apollo was named a Strong Performer. ### Source excerpt Apollo has been recognized in the 2026 Gartner Peer Insights "Voice of the Customer" for API Management for the first time ## View Operational Insights Within the GraphOS Platform API DevFeed: [View Operational Insights Within the GraphOS Platform API]() Original publisher: [Read original article]() Author: Nick Marsh Published: 2026-04-13T13:34:36Z Content type: tutorial Language: en Sources: [Apollo Blog]() Topics: [GraphOS](), [Platform API](), [GraphQL](), [Data analysis](), [Latency]() Tags: [analysis](), [engineering](), [format](), [graphos](), [graphql](), [latency](), [monitoring](), [platform-api]() ### AI overview The article explains how to use the GraphOS Platform API to analyze GraphQL usage and performance. It covers point-in-time operation reports and time-series insights for operations, subgraphs, and fields, including metrics such as request counts, latency percentiles, and error rates. ### Source excerpt Query GraphQL usage with the GraphOS Platform API: point-in-time operation reports plus timeseries data for operations, subgraphs, and fields. ## 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 Apollo Built an AI-Powered Style Guide Reviewer for Documentation DevFeed: [How Apollo Built an AI-Powered Style Guide Reviewer for Documentation]() Original publisher: [Read original article]() Author: Daniel Abdelsamed Published: 2026-03-16T12:33:22Z Content type: article Language: en Sources: [Apollo Blog]() Topics: [Artificial Intelligence](), [Documentation](), [AI Development](), [GitHub](), [Caching]() Tags: [ai](), [caching](), [cost](), [docs](), [engineering](), [false-positives](), [github](), [parallelism](), [speed]() ### AI overview Apollo's documentation team built an AI-powered style guide reviewer that applies documentation rules contextually and reports findings to authors in GitHub. The article explains how restructuring the style guide, integrating the review into the existing workflow, and optimizing speed and cost made it practical to run on every commit. ### Source excerpt Learn how Apollo's docs team built an AI-powered style guide reviewer that runs on every commit -- and the three things that made it actually work: restructuring the style guide as a pattern library, integrating results directly into GitHub, and optimizing for speed and cost with caching, line-level review, and parallelism. ## 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. ## The New Apollo Kotlin Normalized Cache DevFeed: [The New Apollo Kotlin Normalized Cache]() Original publisher: [Read original article]() Author: Benoit Lubek Published: 2026-03-09T01:00:13Z Content type: release Language: en Sources: [Apollo Blog]() Topics: [Caching](), [Kotlin](), [Android](), [client library](), [GraphQL](), [Library]() Tags: [android](), [announcement](), [caching](), [client-library](), [graphql](), [kotlin](), [library](), [versioning]() ### AI overview Apollo released version 1 of a new normalized cache library for Apollo Kotlin, the GraphQL client library for Android and Kotlin. It adds pagination support, expiration, partial cache reads, garbage collection and trimming, configurable key scopes, and improved SQL cache performance. ### Source excerpt Today, we're releasing the new cache library for Apollo Kotlin, the GraphQL client library for Android and Kotlin. Historically, caching has generated the most questions, tickets, and feedback, and we knew it was an area that deserved significant attention. To do that efficiently, we decided early on to create a new repository with its own independent name, artifacts, and versioning. This allowed us to iterate on this new version without disrupting the existing stable library. ## 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. [Next page]()