"Connecting Feishu (Lark)" matching MCP servers:

MCP server providing structured geographic data for AI agents. Access 261 countries and millions of cities via Bamwor API.

Lets AI agents discover and filter upcoming civic events and programming across San Francisco parks, plazas, and recreation centers by date range and keyword.

Python based with all 29 tools that's available to developers from National Park Services (NPS)

Provides a scaffold for connecting AI assistants to Microsoft's trusted-partner business listings API, laying groundwork for managing business listing operations over the REST endpoints. It does not yet make live API calls.

Enables access to City of Cedar Park, Texas open geospatial data via ArcGIS. Includes tools for searching datasets, querying feature layers, and retrieving layer schemas.

Evaluates airport layover time budgets of 3–8 hours, factoring immigration clearance buffers and round-trip metro/taxi latencies into a net usable exploration window. Curates timed sightseeing and culinary micro-tours with safety advice and zero connection risk.

Configurable MCP server for cafeteria menu lookup.

Enables travelers and agents to route destination crowds in real time by dispersing visitors and reducing queue waits with queuing-theory and dynamic heatmap guidance.

A TypeScript MCP server boilerplate deployable to Vercel, offering tools for image generation, weather, geocoding, and more.

Enables AI agents to locate and track smart cordless tools, program torque and speed profiles, fetch telematics, and remotely lock or unlock tools based on jobsite geofences.