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temporal-mcp

mirrorethic/temporal-mcp
22 toolsauthSTDIO, HTTPregistry active
Summary

Gives Claude a persistent wall clock so it knows how much time passed between conversation turns. Exposes two MCP tools: temporal_tick advances the timeline and returns elapsed seconds plus day rollover detection, temporal_peek reads the gap without advancing state. Useful when you want the model to greet appropriately, detect resumed sessions, or reload daily context after midnight. Ships as both a Python stdio server for local use and a hosted HTTP endpoint at temporal-mcp.dev with bearer token or OAuth authentication. State persists per thread key in a local JSON file or remote D1 database. The hosted version is free tier Cloudflare Workers, self-hostable if you need scale or custom routing.

Install to Claude Code

verified
claude mcp add --transport http temporal-mcp https://temporal-mcp.dev/mcp --header 'Authorization: YOUR_AUTHORIZATION'

Run in your terminal. Add --scope user to make it available in every project.

Review the command, arguments, and environment values before installing — MCP servers run with your local permissions.

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Tools

Verified live against the running server on Jun 10, 2026.

verified live2 tools
temporal_tickAdvance the temporal clock for a thread and return a snapshot (now / prev / gap / day_rollover / fresh_thread). Call once per user turn. Pass a stable `thread_key` (e.g. the conversation ID) so gap deltas remain meaningful across page reloads.4 params

Advance the temporal clock for a thread and return a snapshot (now / prev / gap / day_rollover / fresh_thread). Call once per user turn. Pass a stable `thread_key` (e.g. the conversation ID) so gap deltas remain meaningful across page reloads.

Parameters* required
client_idstring
Namespace tag (e.g. 'caweb', 'cursor'). Defaults to 'mcp'.
thread_keystring
Stable thread identifier within this client. For claude.ai web use the conversation ID; for other MCP clients any caller-stable string. If omitted, falls back to the Mcp-Session-Id header.
tz_namestring
Display name for the timezone (e.g. 'MDT'). Cosmetic; appears in the rendered header.
tz_offset_minutesinteger
Caller's UTC offset in minutes (e.g. -360 for MDT). Used for day_rollover detection and header formatting. Defaults to 0 (UTC) so day rollover is always honest even if the caller forgets to pass one.
temporal_peekRead the current temporal snapshot for a thread WITHOUT advancing state. Use this when you want the gap delta but the call is not the canonical per-turn event.4 params

Read the current temporal snapshot for a thread WITHOUT advancing state. Use this when you want the gap delta but the call is not the canonical per-turn event.

Parameters* required
client_idstring
thread_keystring
tz_namestring
tz_offset_minutesinteger

temporal-mcp

Your model knows calculus but not what day it is. Fix that.

temporal-mcp is a tiny Model Context Protocol server that gives LLM agents a sense of time between turns. Two tools, a few hundred lines, stdlib + mcp + platformdirs. That's the whole thing.

The problem

Open a fresh chat at 11 PM. The model says "good morning." Resume a conversation three weeks later. The model picks up mid-sentence like no time passed. Ask for "today's status." Get yesterday's status. Or last Tuesday's.

LLMs don't have wall clocks. They don't know when the last user message was, whether the calendar flipped, or whether this is a fresh thread or one resumed after a long gap. Most of the time this is harmless. Sometimes it makes your agent sound like it just woke up from cryosleep.

The fix

A persistent per-thread last-seen log, exposed as two MCP tools:

  • temporal_tick — call this once per user turn. Returns "it has been 14 minutes since the last message, no day rollover, timezone MDT" in a format the model can actually read.
  • temporal_peek — same thing, but doesn't advance state. For when you want the gap without claiming a turn.

That's it. Time exists. Your model should know that.

Try it in 10 seconds

curl -s -X POST https://temporal-mcp.dev/mcp \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $(uuidgen)" \
  -d '{"jsonrpc":"2.0","id":1,"method":"tools/call","params":{
        "name":"temporal_tick",
        "arguments":{"thread_key":"try-it","tz_offset_minutes":-360,"tz_name":"MDT"}}}' \
| python3 -c 'import sys,json; print(json.load(sys.stdin)["result"]["content"][0]["text"])'

You'll see something like:

[temporal] Wed May 13, 10:42 AM MDT | fresh thread (no prior history)
{...JSON payload...}

Run it twice and the second response shows the gap. Run it tomorrow and you'll get day rollover: yes. That's the whole point.

What you get

Every tick returns a human-readable header and a JSON payload:

[temporal] Wed May 13, 9:42 AM MDT | last prompt 14m ago (Wed 9:28 AM)

{"thread_key": "mcp:abc123", "now": 1747158120.0, "prev": 1747157280.0,
 "delta_sec": 840, "day_rollover": false, "fresh_thread": false,
 "tz_name": "MDT", "tz_offset_sec": -21600, "available": true, "error": ""}

The header is for the model. The JSON is for your code, in case you want to do something interesting with day_rollover (greet differently, reload context, recompute "today's items") or with delta_sec (decay relevance, detect a resumed session, flag idle threads).

Two ways to use it

1. Hosted endpoint — claude.ai, ChatGPT, mobile

If you use claude.ai web, ChatGPT, or anything else that wants a remote MCP server, point your connector at:

https://temporal-mcp.dev/mcp

There are two ways to authenticate, depending on what your client UI exposes:

A. OAuth 2.0 (claude.ai and ChatGPT custom connectors)

Both claude.ai and ChatGPT's custom connector UIs require OAuth 2.0 with a Client ID and Client Secret. The hosted endpoint is a full OAuth provider — visit https://temporal-mcp.dev/connect and click Generate OAuth Credentials. You'll get a fresh client_id + client_secret pair, shown once. Paste them into your client's connector config. That's the entire signup.

No email, no password, no account record — the credential pair is the identity. We store only a SHA-256 of the secret, so we never see the plaintext. Generate a new pair any time you want a fresh timeline.

Claude.ai setup: Settings → Connectors → Add custom connector. URL https://temporal-mcp.dev/mcp. Paste your Client ID and Client Secret. Connect. The auto-approve flow redirects you back, claude.ai exchanges the code for a token, and you're done.

ChatGPT setup: Same idea — Settings → Connectors → Custom MCP. Same URL, same credentials.

B. Raw bearer token (Cursor, Cline, Claude Desktop, Zed, Claude Code)

If your client supports custom HTTP headers (most do), skip OAuth and just send any opaque string as a bearer token:

Authorization: Bearer <any opaque string you choose>

Pick a UUID, a passphrase, anything. We SHA-256 it before storing anything; same identity-is-the-credential property as the OAuth flow, without the dance. This is the original lowest-ceremony path and works for any client that lets you set a custom header.

C. URL-embedded token (xAI, Grok, anything URL-only)

If your client's connector UI only exposes a URL field — no headers, no auth, no OAuth — embed your token directly in the path:

https://temporal-mcp.dev/mcp/<any opaque string you choose>

Or as a query parameter, if the path form gets stripped:

https://temporal-mcp.dev/mcp?token=<any opaque string you choose>

Same SHA-256 hashing, same identity model. URL-embedded tokens leak more easily than header tokens (proxy logs, referrers), so this path is a pragmatic fallback rather than the default — but the threat in our model is "someone advances your timeline," not data exposure. Rotate by picking a new random string any time you suspect the URL has been logged where it shouldn't be.

Either way

No signup. No email. No PII. The hosted endpoint is free, rate-limited to 60 requests/minute per credential. If you outgrow that, self-host (see below).

2. Local stdio — Claude Desktop, Cursor, Cline, Zed, Claude Code

For desktop/IDE MCP clients, pip install the Python package and run it locally. No network round-trip, state lives on your disk, no auth needed.

pip install temporal-mcp

Python 3.9+. Linux, macOS, Windows.

Run as stdio:

temporal-mcp        # or: python -m temporal_mcp
Claude Desktop
{
  "mcpServers": {
    "temporal": {
      "command": "temporal-mcp"
    }
  }
}
Cursor / Cline / anything else that speaks MCP stdio

Same idea — point the client at the temporal-mcp command.

Self-host the remote endpoint (Cloudflare Workers)

The hosted endpoint at temporal-mcp.dev runs on Cloudflare Workers backed by D1. If you want your own instance — for privacy, scale, or to ship it as part of a larger product — the entire deploy lives in workers/:

cd workers
npm install
npx wrangler login
npx wrangler d1 create temporal_mcp           # creates the database
# Paste the printed database_id into wrangler.toml
npx wrangler d1 migrations apply temporal_mcp --remote
npx wrangler deploy

Free tier covers ~100k requests/day forever. Set REQUIRE_AUTH=true in [vars] to refuse anonymous traffic. The Worker is ~400 lines of TypeScript and has its own unit tests (workers/test/).

Tools

temporal_tick

Advance the clock for a thread and return a snapshot. Call once per user turn.

FieldTypeNotes
thread_keystring, optionalStable conversation/session ID. claude.ai web: conversation ID. Cursor: window/workspace ID. Anything else: any caller-stable string. Omit it and you get a default hostname+cwd hash — fine for local testing, not for serving multiple threads.
client_idstring, optionalNamespace tag (e.g. "caweb", "cursor"). Defaults to "mcp". Use distinct tags per client so threads don't collide in shared state.

temporal_peek

Read-only. Same shape, doesn't advance state. Use it when you want the gap delta but the call isn't the canonical "one tick per user turn" event.

State

Per-thread last-seen state lives at:

PlatformPath
Linux~/.local/share/temporal-mcp/state.json
macOS~/Library/Application Support/temporal-mcp/state.json
Windows%LOCALAPPDATA%\temporal-mcp\state.json

Override with TEMPORAL_MCP_STATE_DIR=/some/path.

State writes are flock-safe on POSIX and atomically replaced via os.replace, so multiple agents pointing at the same state directory will not corrupt each other. (Windows falls back to an in-process lock — fine for a single MCP server, not designed for cross-process contention.)

Maintenance

python -m temporal_mcp gc        # prune threads > 30d idle
python -m temporal_mcp gc 7      # prune threads > 7d idle

Not exposed as an MCP tool on purpose — a model that can prune its own memory of "when did we last talk" will eventually do it at exactly the wrong moment. Run it from cron if you care.

Design notes (for the curious)

  • Thread keying is namespaced as {client_id}:{key}. Reserve a unique client_id per surface so threads from claude.ai web don't collide with a local Cursor session sharing the same state directory.

  • Failure is honest. If the state file is unreadable or the lock times out, the snapshot returns available: false with an error field and the header says gap: unknown. It does not silently lie and call it a fresh thread — a model that thinks every turn is fresh will keep saying good morning forever.

  • Watchdog. tick() runs in a daemon thread with a 100 ms timeout so a stalled state read can't block your hook budget. If it times out, you get the honest-failure snapshot above.

  • No HTTP transport in 0.1. Stdio only — that's what Claude Desktop, Cursor, and the other major MCP clients actually use. HTTP/SSE can land in 0.2 if there's demand.

Roadmap

  • 0.2 — optional HTTP/SSE transport, conversation-ID auto-resolve from Mcp-Session-Id and friends, configurable timezone override
  • 0.3 — opt-in "long gap" thresholds (return a resume: true flag past N hours) so agents can branch on resumed sessions without doing the math themselves

License

MIT. See LICENSE.

Author

Built by Garret Sutherland / MirrorEthic LLC, extracted from the temporal layer of a larger cognitive-mesh project where this primitive was load-bearing enough to deserve its own package.


mcp-name: io.github.MirrorEthic/temporal-mcp

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Categories
AI & LLM ToolsAutomation & Workflows
Registryactive
Packagetemporal-mcp
TransportSTDIO, HTTP
AuthRequired
Tools verifiedJun 10, 2026
UpdatedMay 13, 2026
View on GitHub

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