This is Apollo's official bridge between GraphQL APIs and AI models. It sits in front of your Apollo-managed graphs and exposes specific GraphQL operations as MCP tools that LLMs can call directly. You define which queries and mutations should be available, configure them in a YAML file, and the server handles the translation layer. Built in Rust with stdio transport, it's useful when you want Claude or another AI to orchestrate API calls against your existing GraphQL infrastructure without writing custom integrations. Think of it as turning your graph into a structured toolset that AI can reason about and execute.
Apollo MCP Server is a Model Context Protocol server that exposes GraphQL operations as MCP tools. It provides a standard way for AI models to access and orchestrate your APIs running with Apollo.
See the documentation for full details. This README shows the basics of getting this MCP server running. More details are available on the documentation site.
You can either build this server from source, if you have Rust installed on your workstation, or you can follow the installation guide. To build from source, run cargo build from the root of this repository and the server will be built in the target/debug directory.
Follow the quickstart tutorial to get started with this server.
Full usage of Apollo MCP Server is documented on the user guide. There are a few items that are necessary for this server to function. Specifically, the following things must be configured:
These are all described on the user guide. Specific configuration options for the configuration file are documented in the config file reference.
Checkout the contributor guidelines for more information.
This project is licensed under the MIT License. See the LICENSE file for the full license text.
Refer to our security policy.
[!IMPORTANT]
Do not open up a GitHub issue if a found bug is a security vulnerability, and instead to refer to our security policy.
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