Server data from the Official MCP Registry
Evidence-backed follow-through memory for what you owe, await, and need to remember.
About
Evidence-backed follow-through memory for what you owe, await, and need to remember.
Remote endpoints: streamable-http: https://mcp.usepromise.ai/mcp
Security Report
Valid MCP server (1 strong, 1 medium validity signals). No known CVEs in dependencies. Imported from the Official MCP Registry. 1 finding(s) downgraded by scanner intelligence.
11 tools verified · Open access · 1 issue found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
Permissions Found in Source Code
Found by scanning the linked source code. This listing connects to a hosted endpoint, so none of this runs on your machine: it describes what the server software does where it is hosted.
How to Connect
Remote Plugin
No local installation needed. Your AI client connects to the remote endpoint directly.
Add this to your MCP configuration to connect:
{
"mcpServers": {
"ai-usepromise-promise": {
"url": "https://mcp.usepromise.ai/mcp"
}
}
}Documentation
View on GitHubFrom the project's GitHub README.
Promise MCP
Agent-facing MCP server/tools for Promise. The hosted HTTP endpoint is POST /mcp; GET /healthz is available for runtime checks.
This repository is intentionally separate from the Promise platform. It should compose the platform API into agent-friendly tools, not implement canonical backend business logic.
Boundary
- Call the Promise platform API for data access and mutations.
- Do not access Postgres, Redis, queues, provider tokens, or migrations directly.
- Keep authorization, provenance, retention, provider behavior, and canonical domain rules in the platform.
- Consume explicit platform contracts instead of duplicating procedure or capability names by hand.
Initial MCP tool surface:
connect_promiseget_todaylist_commitmentsget_commitmentget_commitment_evidenceget_person_contextsearch_memorycapture_notecreate_follow_upmark_resolveddraft_follow_up
connect_promise and unauthenticated tool results are intentionally part of
the product. MCP should help users discover and connect Promise when an agent
needs follow-up memory that Promise can provide.
Unauthenticated tool results include a scoped authorizationUrl that sends the
user to https://app.usepromise.ai/start?source=mcp..., preserves agent
attribution, and uses a relative /mcp/authorize callback inside Promise before
any return to an agent URL.
Development
npm install
npm run build
npm run smoke
npm run tools
npm run start
Example MCP call:
curl -sS http://localhost:3000/mcp \
-H 'content-type: application/json' \
-d '{"jsonrpc":"2.0","id":1,"method":"tools/list","params":{}}'
Protected tools return a structured promise_auth_required result when no
Bearer token is present. After the user authorizes /mcp/authorize, Promise
returns a short-lived one-time code to the agent callback. The agent exchanges
that code at /api/mcp/token for a scoped opaque pmcp_... bearer token.
Bearer tool calls are proxied to the Promise platform API, which enforces the
grant's scopes. mark_resolved and draft_follow_up intentionally deep-link
to Promise for user review rather than sending or mutating mail directly.
See docs/ACQUISITION.md for signup flow guidance, docs/SECURITY.md for the
MCP safety boundary, and docs/DEPLOYMENT.md for container/runtime details.
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