mcp server

cuqu-skill

CUQU找搭子官方 Agent Skill：让任意 AI Agent（Claude Code/Codex/Cursor/WorkBuddy）代用户找同城线下局、报名、支付、发局。MCP Streamable HTTP + 个人 API Key 网关 agent.cuqu.net

cuqu-net/cuqu-skillcommunitylistedunreviewed

Use tool

Set up

Hosted by its author. Add the URL to your agent — nothing to install.

~/Library/Application Support/Claude/claude_desktop_config.json

Settings → Connectors → Add custom connector

Name: cuqu-skill
URL:  https://agent.cuqu.net/mcp

same format Cursor, GitHub Copilot CLI, Junie, JetBrains AI Assistant, Augment (Auggie CLI), Factory Droid, Kiro, Devin CLI +12

Values in angle brackets are placeholders. Restart Claude Desktop after editing its config.Claude Desktop docs

README

synced Oct 21, 2026

CUQU找搭子 (CUQU) MCP Server

Open-source MCP server giving AI agents live access to CUQU (找搭子) — a local offline social activities platform in China (Shenzhen-based, 10+ cities incl. Hong Kong, China). Users discover and book offline interest-based group activities (board games, frisbee, hiking, badminton, fishing, anime and 100+ more categories); organizers publish and run events.

Live demo endpoint (hosted): https://agent.cuqu.net/mcp (Streamable HTTP, per-user cq-sk- keys — see llms.txt) Agent Card: https://cuqu.net/.well-known/agent.json

Talk to the agents (chat UI):

Baidu Qianfan: https://appbuilder.baidu.com/s/w93d7Z6X (Chinese)
iFlytek Astron: https://agent.xfyun.cn/agentbuilder/chat?sharekey=998b5236b21fb85e005b9c9438f78b10&botId=5830291 (Chinese; API flow_id 7510896245077958656)
Live weekly activities: https://cuqu.net/activities/list/ (real in-stock data, updated daily)
IRL Activity Schema v0.1 (CC BY 4.0): https://cuqu.net/schema/irl-activity/v0.1/irl-activity-schema.json

What this repository contains

Path	What it is
`server.py`	The MCP server implementation — zero-dependency Python, JSON-RPC 2.0 over stdio. Read tools call CUQU's public live activity API; write tools forward to the hosted gateway with a user key.
`Dockerfile`	One-command container build for the server (glama.ai / docker / any MCP host).
`glama.json`	glama.ai directory metadata & maintainership.
`scripts/check-mcp.py`	Connectivity check for the hosted gateway.
`skills/`, `docs/`	Agent skill manifests and platform integration docs (Qwen/Dify/Yuanqi).

Tools

8 tools across the activity lifecycle:/n

Tool	Type	Description
`query_activities`	read (no key)	Search live activities by type / city / date — 100+ categories, real-time public data
`get_activity_card`	read (no key)	Full detail card for one activity (time, venue, price, booking progress, organizer, cover)
`query_venues`	read (no key)	Curated partner venue directory (capacity, per-head price)
`generate_urllink`	read (no key)	Share link + WeChat mini-program path for an activity
`create_activity`	write (key)	Organizer publishes a new event
`register_event`	write (key)	Book a user into an activity
`create_payment`	write (key)	Create WeChat Pay for a booking order
`check_in`	write (key)	On-site check-in / redemption

Write tools are executed by the hosted gateway and require CUQU_API_KEY (cq-sk-..., issued via scan-to-issue flow documented in llms.txt).

Quick start

# stdio, zero dependencies, Python 3.9+
python -u server.py

# or via Docker
docker build -t cuqu-mcp .
docker run -i cuqu-mcp

Claude Desktop / any stdio MCP client:

{
  "mcpServers": {
    "cuqu": {
      "command": "python",
      "args": ["-u", "/path/to/server.py"],
      "env": { "CUQU_API_KEY": "cq-sk-...(optional, enables write tools)" }
    }
  }
}