"Exploring a GitHub repository and creating a detailed flowchart of its functionality" matching MCP servers:

Provides read-only query tools over OpenStreetMap data in PostGIS, enabling natural language queries for features, categories, and spatial analysis.

A local MCP server that integrates FastMCP with OpenAI to enable natural language queries for current weather, forecasts, and currency conversion using ExchangeRate-API and Open-Meteo.

Provides Estonian public transport timetables, trip planning, stop search, and real-time vehicle tracking.

Provides real-time access to Israeli emergency alerts from the official Pikud Haoref (Home Front Command) API. Enables AI assistants to check current alerts, retrieve alert history with intelligent city filtering, and monitor emergency notifications including rocket alerts, aerial intrusions, and earthquakes.

Enables AI assistants to validate and standardize US addresses using the official USPS Address Validation API with secure OAuth2 authentication.

Provides Naver Map API functions (geocoding, reverse geocoding, directions, static map, and usage queries) as MCP tools for use in Claude Desktop, VS Code, and other MCP clients.

A self-contained MCP server that gives AI agents the ability to calculate high-precision astronomical data. It provides tropical zodiac coordinates, planetary speeds, retrograde detection, and house cusps using the trusted Swiss Ephemeris engine. 100%

Enables users to check weather conditions using Open-Meteo's free API with GitHub OAuth authentication and personalized location management. Users can save custom location labels (like 'home' or 'office') and query weather using these convenient shortcuts.

Enables intelligent monitoring and management of Zoom rooms across multiple sites using smart location resolution and hierarchical discovery. It provides tools for checking room status, retrieving location hierarchies, and accessing detailed room configurations through the Zoom API.

An MCP server that exposes a verify_place tool for verifying places via Google Places API, along with a rubric resource and classify_post prompt for grounding-based classification tasks.

A Model Context Protocol server that retrieves detailed geographic information about IP addresses using the ipinfo.io API, helping determine user location and network details.

An MCP server that lets users find nearby shops and POIs around a location and find targets such as gas stations or charging points within a given radius along a driving route, using the Amap (Gaode) Web Service API with built-in API key entry and validation.

Enables interaction with the Polish National Register of Borders (PRG) data, currently providing health status monitoring and a server skeleton for future data retrieval features.

An MCP server that finds great espresso cafes using a curated database of specialty coffee shops and a transparent scoring algorithm, with a strong bias against flavored syrups and mass-market chains.

Enables natural language search and retrieval of data from Japan's Ministry of Land, Infrastructure, Transport and Tourism (MLIT) Data Platform, including location-based queries, attribute filtering, and data visualization capabilities.

An MCP server that exposes the Wunder Mobility v2 end-user API as tools, enabling clients to browse vehicles, manage rentals, and create reservations on behalf of a signed-in user.

An unofficial MCP server that provides access to Indonesia's BMKG data, including real-time earthquake reports, village-level weather forecasts, and extreme weather alerts. It enables users to search for location codes and retrieve detailed meteorological and geophysical information through natural language.

An MCP server for exploring British and Irish hills (Munros, Wainwrights, Corbetts, Marilyns) with offline search, nearby hills, and detailed hill data, no API key required.

A local MCP server that converts timestamps between time zones using IANA time zone rules, exposing a single convert_time tool.

The geospatial toolkit for AI agents. 6 tools, zero config — give any LLM the ability to parse, convert, query, and aggregate spatial data out of the box. Or just make a bounding box :) Every response includes a verification link to vibhorsingh.com/boundingbox so you can visually confirm results on an interactive map.