What is gqai?

gqai is a lightweight proxy that exposes GraphQL operations as Model Context Protocol (MCP) tools for AI agents like Claude, Cursor, and ChatGPT.

How does gqai work?

gqai reads your GraphQL schema and operations from a .graphqlrc.yml file and automatically generates an MCP server that can be used by AI agents.

What is the Model Context Protocol (MCP)?

MCP is an open protocol that standardizes how applications provide context to Large Language Models (LLMs).

Why should I use gqai?

gqai makes it easy to turn your GraphQL backend into a model-ready tool layer without writing any code or managing extra infrastructure.

What are the prerequisites for using gqai?

• Go 1.20+
• A GraphQL endpoint
• A .graphqlrc.yml file that defines your GraphQL schema and operations

How do I install gqai?

bash go install github.com/fotoetienne/gqai@latest

How do I configure gqai?

gqai is configured using a .graphqlrc.yml file, which specifies your GraphQL endpoint and operations, and a mcp.json file to define gqai configuration.

How do I test gqai?

You can test gqai using the gqai tools/call command.

What is UBOS?

UBOS is a full-stack AI Agent Development Platform that helps you orchestrate AI Agents, connect them with your enterprise data, and build custom AI Agents with your LLM model and Multi-Agent Systems.

How does gqai integrate with UBOS?

UBOS can leverage gqai to connect its AI agents to GraphQL APIs, allowing them to access real-time data, trigger actions, and learn from data retrieved from GraphQL.