MCP server · Developer tools

gqai MCP server

Turn your GraphQL queries into tools your AI can run, so it can fetch live data for you.

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gqai is a small helper that takes the GraphQL queries you already have and turns them into tools your AI can use. If your team has a GraphQL service and you want your AI to pull real answers from it, this connects the two. It is most useful for developers and technical folks who already work with GraphQL.

What is an MCP server? The 30-second version

On its own, your AI can only chat with you using what it already knows. An MCP server is a small helper program that gives your AI a new skill or a connection to an app or service. This one connects your AI to a GraphQL service, so it can look things up there when you ask. You set it up once, and after that your AI can call those queries for you.

What this MCP server does

You write your queries in plain GraphQL files, and gqai reads them and turns each one into a tool. When you ask your AI something, the AI picks the right tool and asks gqai to run it. gqai sends that query to your GraphQL service and gets the answer back. Then your AI shows you the result in the chat, in normal words or as a list. You do not write any extra code for this; your existing queries do the work.

Flow diagram: you ask your AI “List the films released before 1980”, the gqai MCP server connects it to Your GraphQL service, and you get back the films, explained in chat.

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What you can do with it

Look up records from your GraphQL service by asking in plain words
Run a saved query and show you the results in the chat
Pass values like an ID or a name into a query
Reuse your existing GraphQL files as AI tools
Test any tool yourself from the command line before your AI uses it
Keep your login tokens out of the config by using environment variables

Try asking your AI

“Get all the films and show me their titles and episode numbers”
“Find the film with ID 1 and tell me who directed it”
“List the films released before 1980”
“Look up the film called A New Hope and give me its release date”

What it gives back to you

You get back the answer from your GraphQL service, shown in the chat. That can be a list of items, a single record, or specific fields like a title or a date. gqai prints the raw result, and your AI explains it to you in normal words.

Before you start

What you need

A working GraphQL service with a live address (not just a schema file)
The gqai program installed on your computer
A .graphqlrc.yml file that points to your service and your query files
Login tokens if your service needs them, set as environment variables

Good to know

The tools come from your own GraphQL queries, so if any of them change or delete data, your AI can do that too when asked.

Install it with your AI

Add gqai MCP server to your AI, no technical skills needed

You don't install anything by hand. You copy one prompt, paste it into an AI that can work on your computer, and it checks, installs and connects the server for you, asking you when it needs something.

Sign in to get the install prompt

Members get a ready-made prompt that lets the Claude desktop app check gqai MCP server, install it and connect it for them, step by step. You don't need any technical skills: you copy, paste and answer a few questions. Your connected AI can also find and install any of the 4,066 MCP servers here for you.