CUQU找搭子 MCP（粗趣）VerifiedFeatured

Name: CUQU找搭子 MCP（粗趣）
Author: cuqu-net

@cuqu-net

Repository Homepage Documentation

Basic information

About CUQU找搭子 MCP（粗趣）

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

#activities #events #booking #social #china#shenzhen#lifestyle

CUQU找搭子 MCP（粗趣） config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "cuqu-skill": {
      "command": "python",
      "args": [
        "-u",
        "server.py"
      ]
    }
  }
}

CUQU找搭子 MCP（粗趣） tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is CUQU (找搭子) MCP?

Official MCP server of CUQU找搭子 (formerly 粗趣) — China's offline social activities platform. AI agents get live access to real, bookable group activities across Shenzhen, Guangzhou, Shanghai, Beijing, Hong Kong, China and 10+ more cities: board games, frisbee, hiking, badminton, pickleball, fishing, anime meetups and 100+ categories.

Tools (8)

Tool	What it does	Auth
query_activities	Search live activities by city / category / date	none
get_activity_card	Activity detail card	none
query_venues	Search partner venues	none
generate_urllink	Shareable deep link	none
create_activity	Publish an activity as an organizer	cq-sk- key
register_event	Sign up users	cq-sk- key
create_payment	Collect payment	cq-sk- key
check_in	Check in attendees	cq-sk- key

Read tools work with zero configuration. Write tools need a free personal key (cq-sk-).

Quick start

stdio: python -u server.py (zero-dependency, Python 3.9+)
Streamable HTTP (hosted): https://agent.cuqu.net/mcp — Authorization: Bearer cq-sk-...
Agent Card: https://cuqu.net/.well-known/agent.json
llms.txt: https://cuqu.net/llms.txt

Why this matters

CUQU is building the agent-native layer for offline social: your AI agent doesn't just recommend activities — it can create, sell and run them. Attribution is built in: activities created via agents carry source markers, and payments link back to the agent session.

Comments

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