Overview
Features
Exposes GraphQL operations as MCP tools
The server exposes GraphQL operations as MCP tools that AI models can call and orchestrate.
Standardized AI access and orchestration
Provides a standard way for AI models to access and orchestrate Apollo-powered APIs via MCP.
Graph fronting and runtime graph integration
Requires a Graph in front of the MCP server to sit in front of, enabling integration with existing GraphQL backends.
Config-file driven runtime
Runtime behavior is controlled by a configuration file with a dedicated config file reference in the docs.
MCP client compatibility
Connects to MCP clients such as LLMs or MCP inspectors for interaction.
Rust-based build and development
Builds from source using Rust's cargo; development and local builds place the binary under target/debug.
Documentation and quickstart
Extensive docs with a quickstart tutorial and user guide cover setup and usage.
MIT License and open source
Distributed under the MIT License with contribution guidelines and community involvement.
Who Is This For?
- AI models:Access and orchestrate Apollo GraphQL APIs using MCP tools for advanced AI reasoning.
- Developers:Provide an MCP front for GraphQL APIs, enabling MCP client integration.
- Data scientists:Experiment with agent-driven API calls to Apollo GraphQL endpoints via MCP.




