time-mcp
A remote MCP server that provides ambient time awareness, enabling current time, timezone conversion, calendar math, and elapsed-time calculations via natural language, designed for Claude custom connectors.
README
time-mcp
A remote MCP server that gives Claude ambient time awareness: current time, timezone conversion, calendar math, and elapsed-time — with tool descriptions written so the model treats time as context it must acquire (calling the tool before time-sensitive reasoning), not just something to answer "what time is it?".
Inspired by yokingma/time-mcp, rebuilt as a stateless Streamable-HTTP server so it works as a claude.ai custom connector (which requires a public HTTPS URL, not stdio).
Tools
| Tool | Purpose |
|---|---|
current_time |
Full temporal context: ISO time, date, weekday, ISO week, unix, offset, DST |
convert_time |
Convert a date-time between IANA timezones |
time_math |
Add/subtract years/months/weeks/days/hours/minutes (DST- and calendar-safe) |
time_difference |
Exact elapsed time between two instants (end defaults to now) |
days_in_month |
Days in a month, leap-year aware |
Deploy
npm install
npx wrangler deploy
Requires a Cloudflare account (npx wrangler login first). Free tier is plenty.
Connect
In claude.ai: Settings → Connectors → Add custom connector, URL:
https://time-mcp.<your-subdomain>.workers.dev/mcp?tz=Asia/Kolkata
The ?tz= query param sets the default timezone for all tools (falls back to
DEFAULT_TIMEZONE in wrangler.jsonc, then UTC). Claude Code / Desktop can use
the same URL: claude mcp add --transport http time <url>.
To make usage closer to "every response" (best-effort — chat has no true pre-response hook), add this under Settings → General → Instructions for Claude in claude.ai:
Treat time as ambient context you must acquire, not knowledge you have. Call the time connector's current_time at the start of every response, regardless of topic, before reasoning about anything. Never state or assume a date, day of week, elapsed time, or how recent something is without having called it in this turn.
Also check the per-chat tools menu: connectors have an enable toggle, and nothing fires in a chat where the connector is toggled off.
Testing the invocation rate
The failure mode to test for is not "can it tell the time" but "does it reach for the clock when time matters only implicitly". Run each prompt in a fresh chat (within one chat the model legitimately reuses an earlier result), then expand the tool-call chips in the response to see what it called:
- "What day of the week is it?" — sanity check; must call
current_time. - "How old is the M3 MacBook Pro?" — age/recency with no time words.
- "Draft a message proposing a call next Tuesday 3pm my time to someone in
New York." — relative date + timezone; expect
current_time, ideallyconvert_timetoo. - "My notice period is 45 days and I want to be done by end of September —
when's my last day to resign?" — deadline arithmetic; expect
time_math, not mental math. - "Is it too late to file taxes?" — pure implicit deadline.
- Negative control: "Explain how Raft leader election works." — calling here is harmless but unnecessary; over-firing means the instructions are heavier than needed.
For ground truth independent of the UI, watch the server while testing:
npx wrangler tail time-mcp
If the hit rate is poor, the two levers in order of strength are the
Instructions text above and the tool descriptions in src/tools.ts
(the model re-reads tool descriptions every turn).
Local dev
npm run dev # wrangler dev on :8787
npm run check # typecheck
Smoke test:
curl -s localhost:8787/mcp -H 'content-type: application/json' \
-d '{"jsonrpc":"2.0","id":1,"method":"tools/call","params":{"name":"current_time","arguments":{}}}'
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