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

Expose GraphQL Operations as MCP Tools Automatically

Point Apollo MCP Server at your API and operations become MCP tools instantly, no code needed.

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

1
Define your GraphQL queries or use existing persisted operations.
2
Apollo MCP Server exposes them as MCP tools automatically.
3
An AI client calls a tool using natural language.
4
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.

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

AlphaSense
Netflix
Warner Brothers
PayPal
Expedia Group
The New York Times
Volkswagen
Priceline
Peloton
Wayfair
Booking.com
RS Components
Hyatt
Ford Credit
MLB
Athenahealth
Bumble
Coinbase
Cox Automotive
Delivery Hero
Indeed
Joby
Blok
N-able
Sonepar
Sysco