
Compass Daas
@compass-food
About Compass Daas
Compass DaaS is a Model Context Protocol server for AI agents that need structured restaurant dietary intelligence. It exposes three tools over stdio: compass_search for natural-language restaurant search, compass_enrich_restaurant for matching and enrichment, and compass_decide_
Basic information
Config
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"compass": {
"command": "npx",
"args": [
"-y",
"@compass-food/mcp"
],
"env": {
"COMPASS_API_KEY": "your_key_here"
}
}
}
}Tools
3Search restaurants by natural-language dietary query. Returns ranked results with VeganScore, evidence, and confidence. Conservative: returns "unknown" when evidence is insufficient and does not return certification/free-from facts.
Match a restaurant by name and address, then return Compass enrichment data including VeganScore, vegan dietary profile, and evidence. Does not return certification/free-from facts. Returns "matched: false" with candidates if confidence is below threshold.
Conservative fit decision for a restaurant against a user dietary profile. Returns "fit", "not_fit", or "unknown" with reason codes, evidence, and user wording. Returns "unknown" rather than overclaiming.
Overview
What is Compass Daas?
Compass Daas is an MCP (Model Context Protocol) server that gives AI agents restaurant dietary intelligence. It exposes three tools—compass_search, compass_enrich_restaurant, and compass_decide_fit—for natural‑language restaurant searching, enrichment, and dietary‑fit decisions. It is designed for developers building AI‑powered food‑related assistants or dietary‑intelligence services.
How to use Compass Daas?
Run the server over stdio with npx -y @compass-food/mcp. Live tool calls require a Compass API key; a free Sandbox key is available at https://compassfoodtechnologies.com/signup. The server then calls the Compass REST API when invoked.
Key features of Compass Daas
- Natural‑language restaurant search with VeganScore, evidence, and confidence.
- Enrich a restaurant by Compass ID, name/address, or Google Place ID.
- Conservative dietary‑fit decisions: fit, not_fit, or unknown.
- Runs over stdio via
npx -y @compass-food/mcp. - Free Sandbox API key for testing.
Use cases of Compass Daas
- Let an AI assistant find vegan‑friendly restaurants in a city using plain language.
- Enrich an existing restaurant database with dietary scores and evidence.
- Decide whether a specific restaurant fits a user’s dietary profile (e.g., gluten‑free, dairy‑free).
FAQ from Compass Daas
What tools does Compass Daas expose?
It exposes three tools: compass_search (natural‑language restaurant search), compass_enrich_restaurant (enrich by Compass ID, name/address, or Google Place ID), and compass_decide_fit (dietary‑fit decision: fit, not_fit, or unknown).
How do I run the server?
Start it with npx -y @compass-food/mcp over stdio. No extra configuration is needed beyond having an API key.
Do I need an API key?
Yes, live tool calls require a Compass API key. A free Sandbox key is available at https://compassfoodtechnologies.com/signup.
Where can I find documentation and the API spec?
Docs are at https://compassfoodtechnologies.com/docs/mcp. The OpenAPI spec is at https://compassfoodtechnologies.com/openapi.json.
What transport does the server use?
The server uses stdio transport. No other transports (e.g., HTTP/SSE) are mentioned in the README.
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