Fair meeting point discovery for AI agents with isochrone-based travel time fairness
Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β or use 1-click editor setup below.
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π‘ Paste the JSON block into your client's configuration file under mcpServers, then restart the application.
Inspect callable tools, capabilities, and parameters exposed to AI agents by Rendezvous MCP.
score-venuesScore candidate venues by travel time fairness for 2β10 participants
search-venuesSearch for venues near a location using OpenStreetMap
get-isochroneGet a reachability polygon (everywhere reachable within N minutes)
get-directionsGet directions between two points with turn-by-turn steps
store-routing-credentialsStore L402 macaroon + preimage after Lightning payment
Nostr: npub1mgvlrnf5hm9yf0n5mf9nqmvarhvxkc6remu5ec3vf8r0txqkuk7su0e7q2
Fair meeting points for AI β isochrone-based fairness, not naive midpoints.
MCP server for AI-driven meeting point discovery. Give your AI the ability to answer "where should we meet?" using real travel times, venue availability, and fairness algorithms.
Works out of the box β free public routing, no API keys needed. Self-host Valhalla for unlimited queries, or use L402 Lightning credits for our hosted endpoint.
| Tool | Description |
|---|---|
score-venues | Score candidate venues by travel time fairness for 2β10 participants |
search-venues | Search for venues near a location using OpenStreetMap |
get-isochrone | Get a reachability polygon (everywhere reachable within N minutes) |
get-directions | Get directions between two points with turn-by-turn steps |
store-routing-credentials | Store L402 macaroon + preimage after Lightning payment |
Add to your MCP client config (Claude Code, Claude Desktop, Cursor, etc.):
Then ask your AI: "Where's a fair place for Alice in London, Bob in Bristol, and Carol in Birmingham to meet for lunch?"
For ChatGPT, remote AI agents, or any client that connects over HTTP:
Starts a Streamable HTTP server on port 3002 with the MCP endpoint at /mcp.
In ChatGPT settings, add an MCP server with:
http://your-host:3002/mcp| Variable | Default | Description |
|---|---|---|
TRANSPORT | stdio | Transport mode: stdio or http |
PORT | 3002 | HTTP server port (HTTP mode only) |
HOST | 0.0.0.0 | HTTP bind address (HTTP mode only) |
VALHALLA_URL | https://routing.trotters.cc | Routing engine URL |
OVERPASS_URL | Public endpoints | Venue search API |
For unlimited queries with no rate limits, run your own Valhalla instance:
search-venues to find candidate venues near the areascore-venues with participants + candidates β returns ranked results with travel times and fairness scoresFor deeper analysis, the AI can use get-isochrone to visualise reachability and get-directions for turn-by-turn navigation.
The default routing endpoint (routing.trotters.cc) offers free requests. When the free tier is exhausted, tools return a payment_required response with a Lightning invoice. After payment, call store-routing-credentials to store the macaroon for the session.
Self-hosted Valhalla has no payment requirement.
Thin MCP wrapper over rendezvous-kit β the open-source TypeScript library for isochrone intersection, venue search, and fairness scoring. Each tool is an extracted handler function (testable without MCP) plus a registration one-liner.
For issues and feature requests, see GitHub Issues.
If you find rendezvous-mcp useful, consider sending a tip:
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