# GraphRAG MCP Server

> Use this tool when you need to perform semantic search over large datasets, such as the Grand Débat National dataset, to retrieve fast and transparent answers. It solves problems related to information retrieval, data provenance, and citizen contribution tracing, providing accurate results with traceable sources. Ideal for applications requiring in-depth data analysis and reliable information sourcing.

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

## Description

Enables graph-powered semantic search over the Grand Débat National dataset, providing fast, transparent answers with provenance tracing back to citizen contributions.

## Trust

- **Trust score (0–1):** 0.90
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/diucv4qfo9)
- **Repository:** <https://github.com/ArthurSrz/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": "arthursrz-graphragmcp"
    }
  }
}
```

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