Meetup MCP

Meetup MCP

Plans meetups with driving-time-balanced area suggestions and place recommendations using Kakao Local and Mobility APIs.

Category
Visit Server

README

Meetup MCP

Purpose

  • MCP server for meetup planning using Kakao Local + Kakao Mobility directions.
  • Supports driving-time-balanced meetup area suggestions and nearby place recommendations.

Key Behaviors

  • Uses Kakao REST API key for both Local and Mobility APIs.
  • Loads .env explicitly from the project directory via python-dotenv.
  • Default transport is stdio; can switch to HTTP with MCP_TRANSPORT=streamable-http.

Tools

  • geocode: free-text -> place candidates (lat/lng) via Kakao Local keyword search.
  • search_places: search places around an area center (keyword search), supports hotplace flag.
  • plan_meetup_driving: main planner; resolves origins, ranks areas by driving time, then recommends places.

Natural Language Handling (in plan_meetup_driving)

  • Single-origin text like "인천에서 강남 사이" is split into two origins.
  • Vague origins like "내 집/근처/현재 위치" cause NEED_LOCATION response asking for a real place.
  • preferences_text auto-parses cuisine preferences (e.g., 고기/일식/카페/술집) and hotplace intent.
  • hotplace adds "핫플" to the search keyword.

Preferred Areas

  • prefer_areas list: add candidate stations near preferred areas.
  • Bonus scoring applied based on distance to preferred areas:
    • <= 3 km: +12
    • <= 8 km: +6
  • Response includes prefer_distance_km and prefer_bonus per area.

Cloud Run Compatibility

  • FastMCP binds to 0.0.0.0 and PORT (default 8080).
  • Dockerfile sets MCP_TRANSPORT=streamable-http and exposes 8080.
  • MCP HTTP endpoint for Cloud Run is /mcp.

Files Changed

  • meetup-mcp/server.py
  • meetup-mcp/dockerfile
  • meetup-mcp/requirements.txt
  • meetup-mcp/.env.example
  • meetup-mcp/.env

Claude Desktop (Windows) MCP Config

  • %APPDATA%\Claude\claude_desktop_config.json
  • Example: { "mcpServers": { "meetup-mcp": { "command": "C:\Python313\python.exe", "args": [ "C:\Users\CNXK\Desktop\projectfiles\개인\meetup-mcp\server.py" ] } } }

Notes

  • Cloud Run is HTTP-only; stdio works for Claude Desktop.
  • PlayMCP likely expects HTTP access (not stdio).

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured