# mcpgql

> mcpgql — letoribo-mcpgql. Use this tool when you need to integrate Large Language Models (LLMs) with GraphQL endpoints, enabling seamless querying and mutation of graph data. It solves the problem of complex integration setups by providing zero-config connectivity to the Model Context Protocol (MCP) ecosystem. This tool accepts GraphQL endpoints as input and outputs connected LLMs capable of querying and mutating graph data.

Canonical page: https://skillsregistry.net/skills/letoribo-mcpgql  
JSON: https://api.skillsregistry.net/v1/skills/letoribo-mcpgql

## Description

A federated bridge connecting any GraphQL endpoint to the Model Context Protocol (MCP) ecosystem, enabling LLMs to query and mutate graph data with zero-config integration.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ytizck16cs)
- **Repository:** <https://github.com/letoribo/mcpgql>

## 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": "letoribo-mcpgql"
    }
  }
}
```

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