Summary
Bridge any GraphQL API to the Model Context Protocol. Let AI agents query and mutate data through GraphQL endpoints using AnythingMCP.
GraphQL and MCP: A Natural Fit
GraphQL's typed schema and self-documenting nature make it an ideal source for MCP tool generation. AnythingMCP leverages GraphQL introspection to automatically create well-typed MCP tools from your queries and mutations.
Why Convert GraphQL to MCP?
While GraphQL is powerful for developers, AI agents need the MCP protocol to interact with tools. By converting GraphQL to MCP, you let AI agents:
- Query data using natural language instead of writing GraphQL queries
- Execute mutations safely with validated parameters
- Navigate relationships without understanding graph traversal
Step-by-Step Guide
Step 1: Deploy AnythingMCP
Clone the repository and start the application with Docker Compose:
curl -fsSL https://raw.githubusercontent.com/HelpCode-ai/anythingmcp/main/docker-compose.quickstart.yml -o docker-compose.yml
printf 'JWT_SECRET=%s\nENCRYPTION_KEY=%s\n' "$(openssl rand -hex 32)" "$(openssl rand -hex 32)" > .env
docker compose up -d
This starts PostgreSQL, the backend API (port 4000), and the dashboard (port 3000).
Step 2: Create a GraphQL Connector
Open the AnythingMCP dashboard at http://localhost:3000 and create a new GraphQL connector. Provide the GraphQL endpoint URL — AnythingMCP will use introspection to automatically discover the full schema, including all queries, mutations, and types.
Step 3: Schema Introspection
AnythingMCP automatically introspects your GraphQL schema and generates MCP tools:
- Queries become read-only MCP tools
- Mutations become write MCP tools
- Input types become tool parameters with proper validation
- Enum types become parameter constraints
Step 4: Configure Authentication
In the connector settings, configure authentication for your GraphQL API. AnythingMCP supports Bearer tokens, API keys, and custom headers. Environment variables can be used for secrets.
Step 5: Customize and Test
In the dashboard, review each generated tool, customize names and descriptions, and choose which operations to expose. Use the built-in testing interface to execute operations and verify responses.
Step 6: Connect to AI Agents
Configure your MCP client to connect to the AnythingMCP server:
{
"mcpServers": {
"my-graphql-api": {
"url": "http://localhost:4000/mcp"
}
}
}
Popular GraphQL APIs to Connect
| Service | Use Case |
|---|---|
| GitHub | Repository and issue management |
| Shopify | E-commerce operations |
| Hasura | Database access |
| Contentful | Content management |
| Strapi | Headless CMS |
Best Practices
- Enable introspection — Ensure your GraphQL endpoint allows introspection queries
- Start with queries — Expose read operations first, then add mutations
- Simplify nested responses — Customize which fields to include in tool responses
- Rate limiting — Configure rate limits to avoid overwhelming the GraphQL server
Next Steps
- REST to MCP Guide — Convert REST APIs
- Database to MCP Guide — Direct database access
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