Aimyear MCP Server

AimYear MCP server

An accountability partner inside the AI agent you already use. Connect AimYear to Claude, Claude Code, ChatGPT or any MCP client, and your agent keeps one big aim for your year, plans one main step a day toward it, runs the timer while you work and writes down what actually got done. When you start comfortable work while the main step is still open, it asks you to do the step first.

Built for indie developers and makers who build all day but keep postponing the work that moves the goal: selling, talking to users, publishing.

• Free: sign-in on any number of devices, aims, plans, routines, time tracking and reviews through your own agent. No AI runs on AimYear's side, so there are no AI costs.
• Pro ($49/year or $8/month, with the coming phone app): notifications, reviews written by AimYear, AimYear's own AI coach and Google Calendar sync.

Website: aimyear.com · Setup guide: aimyear.com/connect.html · Privacy: aimyear.com/privacy.html · Contact: privacy@aimyear.com

Connect (about a minute)

Endpoint: https://mcp.aimyear.com/mcp (Streamable HTTP, OAuth sign-in with Google, Apple or email). Nothing to install.

• Claude (web, desktop, mobile): Settings → Connectors → Add custom connector → paste the endpoint → Connect, then sign in.
• Claude Code: claude mcp add --transport http aimyear https://mcp.aimyear.com/mcp, then /mcp → aimyear → Authenticate.
• ChatGPT (paid plans, developer mode): Settings → Apps & Connectors → Advanced settings → turn on Developer mode. Then Apps & Connectors → Create: name AimYear, URL the endpoint above, authentication OAuth → Create, then sign in.
• Other MCP clients: add the endpoint as a remote (HTTP) server with OAuth.

Then say: "Help me set my aim for this year". The agent checks that the aim is countable, builds the path of stages, and from then on: "plan my day", "start the timer", "how was my week?".

The skill that teaches an agent the method is in skills/aim/SKILL.md.

What happens to your data

The server stores what your agent saves through the tools (aim, path, plans, sessions and their summaries) in Google Cloud Firestore. Your conversation stays with your agent's provider; AimYear only receives the tool calls. Logs keep the tool name, success and timing, never argument values. To delete your account and data, email privacy@aimyear.com. Details: privacy policy.

Tools (43)

Names say what a tool does: get_ reads one thing, list_ reads several, find_ looks for problems, set_ replaces a whole list, add_ / edit_ / delete_ change one entry.

0.4.2 adds the hard-first check: set_plan warns when nothing in the day is on a hard lever, and add_steps / set_levers warn when a stage starts with preparation before the first hard-lever step. The server instructions tell every agent the same rule.

0.4.0 adds routines: small steps that repeat on fixed weekdays ("talk with one person on Reddit"). The server adds them to each matching day's plan, so every device and agent sees the same checks; get_now lists the open ones and summarize_week counts them.

0.3.0 renamed most tools (0.2.x names stop working) and added the editing tools: edit_session, delete_session for finished sessions, edit_milestone, delete_step, edit_plan_item, delete_plan_item, set_projects, and get_settings / set_settings with the timezone.

Protocol details

Stateless Streamable HTTP, POST only. Sign-in is OAuth 2.1 with PKCE and dynamic client registration. The sign-in page uses the same Firebase project as the AimYear app, so the app and every connected AI share one account and one history. Guest (anonymous) accounts cannot be connected. Every tool acts as one signed-in person; see docs/ACCESS.md.

Without a token, the server describes itself (initialize, tools/list, prompts/list, ping); everything else answers 401 with a WWW-Authenticate header pointing at /.well-known/oauth-protected-resource/mcp.

Retry-safe writes for apps (0.7)

The server is the source of truth, and a phone may deliver a request long after the tap, or twice. So stop_session, start_session, add_session, add_note, add_steps and delete_session take an optional op_id: an id the app mints before its first attempt and reuses on every retry. The write is applied once; a retry gets the first answer back and writes nothing. Applied ops live in users/{uid}/ops/{op_id} (tool, sessionId, result, at, expiresAt) and are written in the same Firestore transaction as the change they record. Give the ops collection a TTL policy on expiresAt (30 days) in the Firestore console.

stop_session takes end_at and start_session takes start_at (ISO 8601) so a stop queued offline at 14:05 and delivered at 16:40 records 14:05. start_session also takes the app's own session_id (create-if-absent). A request with op_id, end_at or start_at must name its session_id: the server never guesses which session a replay means. Without them, an agent's stop_session / delete_session acts only on its own connection's single running session, and otherwise lists the running sessions with ids.

Two devices can stop one session; the result is the same whatever order the stops arrive in: the earliest end wins (once anyone stopped it, it was not running), done wins over any other outcome, the first summary stays and a different later one goes to the notes. Every stop is kept in the session's stops[], and the answer says applied: ended | shortened | recorded.

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The rest of this file is for working on the server itself. You don't need it to use AimYear.

How it is built

Data lives in Firestore under users/{uid}/aim/{goal,path,profile}, users/{uid}/days, users/{uid}/sessions, users/{uid}/blocks, users/{uid}/ops (applied op_ids, TTL on expiresAt); OAuth under oauth_clients, oauth_requests, oauth_codes, oauth_tokens; reminders in pending_notifications (claimed by a transactional delete before each push).

Run locally

npm install && npm run build
# stdio, one person:
claude mcp add --scope user aimyear -e AIMYEAR_UID=<firebase uid> -- node $PWD/dist/index.js
# HTTP:
AIMYEAR_TOKENS="sometoken=<uid>" PORT=8787 node dist/index.js --http

Credentials: a Firebase admin service account at ~/.aimyear/service-account.json (or AIMYEAR_SERVICE_ACCOUNT=<path>; falls back to Application Default Credentials).

Env: AIMYEAR_UID (stdio), AIMYEAR_TOKENS (HTTP: static token=uid pairs for Claude Code scripts, the menu bar app and the scheduler), AIMYEAR_BASE_URL (the public URL; the OAuth issuer), AIMYEAR_ALLOWED_ORIGINS (extra browser origins), AIMYEAR_WORKPLACE, AIMYEAR_TZ.

Tests

npm test                  # access table guard, anonymous gate and batch smuggling, OAuth discovery,
                          # annotations, Origin, version negotiation, surface lock, domain rules
npm run test:conformance  # a client's path through the real HTTP entry point: initialize and
                          # tools/list without a token, then every tool with a throwaway user
                          # in the real Firestore; cleans up
CONFORMANCE_URL=https://mcp.aimyear.com/mcp npm run test:conformance   # read-only tools, live
npm run test:oauth        # register → consent → real Firebase ID token → code → token (PKCE) →
                          # tool call → refresh rotation, plus every refusal; cleans up
npx tsx test/smoke.ts     # the service end to end against Firestore

When you add a tool: give it an entry in src/access.ts (npm test fails without one), run npm run access-doc, bump src/version.ts, run npm run surface-lock.

Hosted (Cloud Run)

gcloud run deploy aimyear-mcp --source . --project aimyear-app --region us-central1 --quiet

Env vars on the service: AIMYEAR_TOKENS, AIMYEAR_TZ, AIMYEAR_PROJECT, AIMYEAR_BASE_URL=https://mcp.aimyear.com. mcp.aimyear.com is a Cloud Run domain mapping (CNAME to ghs.googlehosted.com in Route 53) and is in Firebase Auth's authorized domains. Health: /health. The legacy URL https://<service>/c/<token>/mcp still works.

Call analytics: scripts/mcp-calls.sh [1d] prints calls per tool and the call sequences per person and client.

License

FSL-1.1-MIT: you can read, run, self-host and change this server, but not offer it as a competing commercial service. Each release becomes MIT two years after it is published. The hosted service is at https://mcp.aimyear.com/mcp.