# mcp-graphql

> Use this tool when you need to integrate large language models (LLMs) with GraphQL APIs, enabling them to query and retrieve data through schema introspection and query execution. It solves problems of data accessibility and compatibility between LLMs and GraphQL-based systems. This tool takes GraphQL queries as input and returns queried data as output, ideal for use cases requiring dynamic data retrieval and manipulation.

Canonical page: https://skillsregistry.net/skills/mikeysrecipes-mcp-graphql  
JSON: https://api.skillsregistry.net/v1/skills/mikeysrecipes-mcp-graphql

## Description

Enables LLMs to interact with GraphQL APIs through schema introspection and query execution.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/h41gcrgikj)
- **Repository:** <https://github.com/mikeysrecipes/mcp-graphql>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "mikeysrecipes-mcp-graphql"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/mikeysrecipes-mcp-graphql` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/mikeysrecipes-mcp-graphql/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt