Citi Bike MCP Server

Citi Bike MCP Server

Enables users to find the nearest Citi Bike stations with real-time availability data for electric and classic bikes. Provides distance-sorted results with detailed station information including bike availability, dock capacity, and operational status.

Category
Visit Server

README

Overview

  • Purpose: Smithery-compatible TypeScript MCP server exposing a tool to find the nearest Citi Bike stations by distance and ebike/classic availability.
  • Data: Citi Bike GBFS feeds: station_status.json and station_information.json.

Quickstart (Smithery)

  • Prereq: Node.js 18+ and a Smithery account/API key.
  • Dev (requires Smithery CLI): npm run dev (port-forwards to Smithery Playground)
  • Deploy: Push to GitHub, then use https://smithery.ai/new to deploy the repo.

Local Build

  • Install deps: npm install
  • Build: npm run build

Entry Point

  • Smithery loads src/index.ts which exports a default createServer function returning an MCP server instance.

Tool

  • nearest_citibikes: Returns nearest stations with distances and availability.
    • Input: { lat: number, lon: number, limit?: number }
    • Output: JSON with stations[] including:
      • name, station_id, lat, lon, distance_m
      • available_ebikes, available_classic_bikes, available_total_bikes
      • available_docks, capacity_total_docks, is_renting, is_returning, last_reported

Notes

  • available_classic_bikes uses num_bikes_available_types.mechanical when present; else derives as num_bikes_available - num_ebikes_available.
  • Results are Haversine-sorted by distance. limit defaults to 5 (1–50 allowed).

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
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
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
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