# Fangorn MCP Server

> Use this tool when you need to integrate AI agents with Fangorn subgraph schemas and access conformant data from published sources. It solves problems of data retrieval and schema querying by providing a standardized interface via the Model Context Protocol. The Fangorn MCP Server takes query requests as input and returns relevant data, enabling seamless interaction between AI agents and Fangorn-based data sources.

Canonical page: https://skillsregistry.net/skills/fangorn-network-mcp  
JSON: https://api.skillsregistry.net/v1/skills/fangorn-network-mcp

## Description

Enables AI agents to query Fangorn subgraph schemas and conformant data from published data sources via the Model Context Protocol.

## 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/e4ophrvy45)
- **Repository:** <https://github.com/fangorn-network/mcp>

## 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": "fangorn-network-mcp"
    }
  }
}
```

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