ruanyifeng-weekly-mcp
Allows searching ruanyf/weekly GitHub issues and returning summaries in Markdown format.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@ruanyifeng-weekly-mcpsearch for weekly issues about AI"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
ruanyifeng-weekly-mcp
MCP server for searching ruanyf/weekly GitHub issues and returning a Markdown list with summaries.
Features
Search
ruanyf/weeklyissues via GitHub Search APIKeyword overrides that prioritize YouMind related results
JSON file cache with TTL (default 6 hours)
Optional GitHub token for higher rate limits
Streamable HTTP transport at
/mcp(port 8113 by default)
Related MCP server: WeChat Article Reader MCP Server
Tool
search_weekly(query, limit=5, state="all", category=None, format="markdown") -> Markdown
Parameters:
query: search keywordlimit: 1-50state:all,open,closedcategory: optional issue title tagformat: must bemarkdown
Environment
SERVER_HOST(default0.0.0.0)SERVER_PORT(default8113)CACHE_DIR(default./cache)CACHE_TTL_SECONDS(default21600)GITHUB_TOKEN(optional)LOG_LEVEL(defaultINFO)HTTP_TIMEOUT_SECONDS(default30)
Run locally
Create a virtual environment
python3 -m venv .venvActivate it
source .venv/bin/activateInstall dependencies
pip install -r requirements.txtRun the server
python app.pyThe server listens on http://127.0.0.1:8113/mcp by default.
Kelivo config (streamableHttp)
{
"mcpServers": {
"ruanyifeng-weekly": {
"name": "ruanyifeng-weekly",
"type": "streamableHttp",
"baseUrl": "http://YOUR_HOST:8113/mcp",
"isActive": true
}
}
}systemd
See deploy/ruanyifeng-weekly-mcp.service and deploy/ruanyifeng-weekly-mcp.env.example.
This server cannot be installed
Maintenance
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