# GraphQL

> Use this tool when you need to integrate AI models with GraphQL APIs, enabling dynamic discovery and interaction with structured data. It solves problems of accessing and utilizing data from GraphQL endpoints, providing a secure and customizable interface for schema retrieval and query execution. Ideal for workflows requiring AI assistants to access structured data, it accepts custom headers and local schema files as inputs and returns query execution results as output.

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

## Description

mcp-graphql is a Model Context Protocol server that enables LLMs to interact with GraphQL APIs through schema introspection and query execution. Developed by Boris Besemer, it allows AI models to discover and use GraphQL APIs dynamically by providing tools for schema retrieval and query execution, with mutations disabled by default as a security measure. The implementation supports custom headers for authentication, local schema files, and can be easily integrated with Claude Desktop via Smithery, making it ideal for workflows requiring AI assistants to access structured data from GraphQL endpoints.

## Trust

- **Trust score (0–1):** 0.64
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-02

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/launchthatbrand-graphql)
- **Repository:** <https://github.com/launchthatbrand/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": "launchthatbrand-graphql"
    }
  }
}
```

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