# GraphRAG MCP Server

> Use this tool when you need to access detailed research findings and implementation patterns for building graph-enhanced retrieval-augmented generation systems. It solves problems related to information retrieval and generation by providing AI agents with best practices and expert knowledge. The GraphRAG MCP Server takes in queries and returns relevant research findings and implementation patterns, making it ideal for use cases involving complex information retrieval and generation tasks.

Canonical page: https://skillsregistry.net/skills/lyndonkl-graphragmcp  
JSON: https://api.skillsregistry.net/v1/skills/lyndonkl-graphragmcp

## Description

Enables AI agents to access detailed research findings, implementation patterns, and best practices for building graph-enhanced retrieval-augmented generation systems.

## Trust

- **Trust score (0–1):** 0.68
- **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/jn00mzijgx)
- **Repository:** <https://github.com/lyndonkl/graphragmcp>

## 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": "lyndonkl-graphragmcp"
    }
  }
}
```

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