What is the difference between Gqai and building a custom MCP server?
Gqai automatically converts your existing GraphQL queries and mutations into MCP tools, eliminating the need to write any server code or manually define tool schemas.
@fotoetienne
基本情報
Turn any GraphQL endpoint into a set of MCP tools
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Gqai is a lightweight proxy that exposes GraphQL queries and mutations as Model Context Protocol (MCP) tools for AI assistants like Claude, Cursor, and ChatGPT. It automatically generates an MCP server from your GraphQL backend using a simple configuration file and plain .graphql operation files.
Install Gqai with go install github.com/fotoetienne/gqai@latest, then create a .graphqlrc.yml config file that points to your GraphQL endpoint and operation documents. Add your GraphQL queries/mutations in .graphql files, configure Gqai as an MCP server in your client’s mcp.json, and your AI can call the operations as tools. You can also test tools via the CLI with gqai tools/call <toolname>.
.graphqlrc.ymlGqai automatically converts your existing GraphQL queries and mutations into MCP tools, eliminating the need to write any server code or manually define tool schemas.
Gqai is a single binary built with Go. To build from source you need Go 1.20+. After installation, no runtime dependencies are required besides your GraphQL endpoint.
Gqai sends the defined GraphQL operations to the live GraphQL endpoint specified in the `schema` field of your `.graphqlrc.yml` file. It does not use a static schema file.
You can add headers directly in the `.graphqlrc.yml` config under the `schema` field. Header values can also reference environment variables using `${VARNAME}` or `${VARNAME:-default}` syntax.
Yes. Gqai treats any GraphQL operation (query or mutation) defined in a `.graphql` file as a tool. Mutations with arguments become tools that accept input parameters.
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