MCP Servers

模型上下文协议服务器、框架、SDK 和模板的综合目录。

G
Gh Claude Fatbrainmap MCP
作者 @jsheffie

MCP server that visualizes GitHub issue/PR relationship graphs as interactive mindmaps

创建于 4/30/2026
更新于 about 3 hours ago
Repository documentation and setup instructions

gh-claude-fatbrainmap-mcp

An MCP server that turns GitHub issue/PR relationship graphs into interactive mindmaps. Designed to pair with the gh-claude Claude Code plugin: when you run /gh-claude:gh-related 42, the skill builds a JSON graph and hands it to this server, which spins up a local web UI and returns a clickable URL.

What you get

  • A FastMCP server that exposes one tool: render_mindmap(graph)
  • A bundled FastAPI web app that serves a React Flow canvas with two layout engines:
    • Hierarchy (elk, layered) — root issue at top, related items branching down
    • Organic (d3-force) — coggle-style floating nodes pulled together by edges
  • Bezier edges, solid for direct references and dashed for semantic matches
  • Drag, zoom, minimap, right-click to hide a node
  • Every node title links to the underlying GitHub issue/PR

Install

Until this is on PyPI, install from source:

git clone https://github.com/jsheffie/gh-claude-fatbrainmap-mcp.git
cd gh-claude-fatbrainmap-mcp
python -m venv .venv && source .venv/bin/activate
pip install -e .
(cd ui && npm install && npm run build)

# Register with Claude Code (user scope = available in every project)
claude mcp add fatbrainmap --scope user -- "$(pwd)/.venv/bin/gh-claude-fatbrainmap-mcp"

Then restart Claude Code (or run /mcp to verify). Once connected, the gh-claude plugin's /gh-claude:gh-related N will detect the MCP tool and append a clickable mindmap URL to its output.

Local development

# Python deps
python -m venv .venv && source .venv/bin/activate
pip install -e '.[dev]'

# UI deps
cd ui && npm install && cd ..

# Run both dev servers
./scripts/dev.sh

# In another terminal: seed an example graph and open the URL it prints
python scripts/seed.py

The MCP server proper (stdio transport for Claude Code) is launched via gh-claude-fatbrainmap-mcp (same name as the console script in pyproject.toml).

Build for distribution

./scripts/build.sh    # builds UI into server/static/ then python wheel into dist/

JSON contract

The skill must send graphs matching server/schemas.py:

{
  "version": 1,
  "repo": "owner/name",
  "root": 42,
  "nodes": [
    {
      "id": 42, "kind": "issue", "state": "open",
      "title": "...", "url": "https://github.com/...",
      "labels": ["bug"], "milestone": "v2.1"
    }
  ],
  "edges": [
    { "source": 42, "target": 38, "kind": "direct", "reason": "fixes #38" }
  ]
}

See examples/sample-graph.json for a complete example.

License

MIT

快速设置
此服务器的安装指南

安装包 (如果需要)

npx @modelcontextprotocol/server-gh-claude-fatbrainmap-mcp

Cursor 配置 (mcp.json)

{ "mcpServers": { "jsheffie-gh-claude-fatbrainmap-mcp": { "command": "npx", "args": [ "jsheffie-gh-claude-fatbrainmap-mcp" ] } } }