Uses Wikidata via QLever as a data source to discover places near the family’s home, supporting outing research and ranked recommendations.
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type @ followed by the MCP server name and your instructions, e.g., "@Fit Trip MCP where can we go this weekend that works for all of us?"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
A voice assistant skill that answers one question families ask every weekend: "Where can we go that works for all of us?"
Tell it who lives at home (a grandparent in a wheelchair, a four-year-old who naps, a dog) and where home is. Ask for a place or name one. A research agent on the MCP server searches the live web, reads the places' own sites, checks the hourly forecast and weather alerts, and comes back with a ranked list of places, with a verdict for every family member.
Live demo: https://13-51-225-247.sslip.io (no keys needed)
MCP endpoint: https://13-51-225-247.sslip.io/mcp (Streamable HTTP)
voice ─► device agent (pi agent + MCP client) ──MCP──► Fit Trip server
▲ │
│ research agent (pi agent)
MCP App card ◄────────────────────── web search · page reads · forecast
on the screen places DB · park alerts · drive timesDevice agent (src/assistant.ts): stands in for the smart-display assistant. It is a pi agent that uses the server's tools through a real MCP client. It asks how the last trip went before it starts a new search, and saves the answer.
Research agent (src/planner.ts): runs on the server for each search. Tools: web_search, fetch_pages (up to 10 sites at once), record_access, add_note, submit. It narrates what it is doing while it works, and the device shows that live.
MCP App card (public/card.html): the ranked places rendered on the device screen. Tapping a place calls tell_about_place through the host and shows a per-member breakdown.
Memory (src/memory.ts): the family profile, the visits and the reviews, kept between sessions.
Tool | What it does |
| Who is in the household, their needs, and where home is |
| How far the family is willing to drive |
| "Where can we go?": researches and ranks candidates |
| "Does this place work for us?": a fit check of one place |
| The story of one place, member by member |
| Remembers where the family went and how it went |
Related MCP server: InNetwork
npm install
cp .env.example .env # fill in the keys
npm start # http://localhost:8787Node 20+. The keys:
OPENROUTER_API_KEY: the LLM for both agents (default deepseek/deepseek-v4.1-flash-1017), plus fallback speech
SERPER_API_KEY: web and maps search, page scraping
GROQ_API_KEY: speech to text (whisper-large-v3) and text to speech (Orpheus)
NPS_API_KEY: US national park alerts
Open-Meteo: hourly forecast and geocoding
National Weather Service: weather alerts
NPS API: park alerts and closures
OSRM: drive times
Serper: web search, maps search and page scraping
OpenRouter and Groq: models, speech
pi-agent and the MCP TypeScript SDK
MIT
This server cannot be deployed
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