Expose GraphQL Operations as MCP Tools Automatically
Point Apollo MCP Server at your API and operations become MCP tools instantly, no code needed.
Apollo MCP Server
Connect AI Agents to your
GraphQL APIs
Apollo MCP Server turns your existing GraphQL operations into MCP tools. Any MCP client like Claude, ChatGPT, Cursor, or your own agent can discover and use them instantly.
Your GraphQL API, ready for AI agents in minutes
Give AI Agents Access to Complex Data in One Request
One GraphQL query returns everything your agent needs with no chaining and no extra calls.
Connect AI Agents to Large GraphQL Schemas Without Overloading Context
Agents search your schema by meaning and retrieve only what they need, keeping context lean.
How Apollo MCP Server works
Define your GraphQL queries or use existing persisted operations.
Apollo MCP Server exposes them as MCP tools automatically.
An AI client calls a tool using natural language.
The server executes the query against your existing GraphQL API.
What is Model Context Protocol (MCP)?
MCP (Model Context Protocol) is the standard for giving AI models structured access to external systems. It defines how agents discover and call tools, whether that means fetching data, taking actions, or both.
Apollo MCP Server implements MCP on top of GraphQL, so your existing API infrastructure becomes immediately usable by any MCP-compatible AI client.
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Why choose Apollo MCP Server?
Zero-code MCP tool creation
Your existing GraphQL operations become MCP tools automatically, with no wrapper code or manual tool definitions.
MCP Apps framework
Build interactive React apps that run inside AI conversations, powered by your existing APIs and Apollo Client, with support for any platform that follows the MCP Apps specification.
OAuth 2.1 authorization
Integrate with your existing identity providers with JWT validation, scope enforcement, and dynamic client registration out of the box.
Persisted queries for production safety
Restrict agents to a pre-approved set of operations so malicious or expensive queries cannot execute.
Schema introspection for dynamic operation generation
Let agents inspect your schema and build and execute operations on demand, so they can respond to requests that predefined tools do not cover.
OpenTelemetry integration
Monitor agent behavior, tool usage, and request traces across your full stack using any OTLP-compatible observability tool.
Connecting AI agents to the GraphOS platform trusted by these enterprises
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Start Building Production-Ready AI Agents with Apollo MCP Server
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