time-mcp

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.

Category
访问服务器

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:

  1. "What day of the week is it?" — sanity check; must call current_time.
  2. "How old is the M3 MacBook Pro?" — age/recency with no time words.
  3. "Draft a message proposing a call next Tuesday 3pm my time to someone in New York." — relative date + timezone; expect current_time, ideally convert_time too.
  4. "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.
  5. "Is it too late to file taxes?" — pure implicit deadline.
  6. 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":{}}}'

推荐服务器

Baidu Map

Baidu Map

百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。

官方
精选
JavaScript
Playwright MCP Server

Playwright MCP Server

一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。

官方
精选
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。

官方
精选
本地
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。

官方
精选
本地
TypeScript
VeyraX

VeyraX

一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。

官方
精选
本地
Kagi MCP Server

Kagi MCP Server

一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。

官方
精选
Python
graphlit-mcp-server

graphlit-mcp-server

模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。

官方
精选
TypeScript
e2b-mcp-server

e2b-mcp-server

使用 MCP 通过 e2b 运行代码。

官方
精选
Neon MCP Server

Neon MCP Server

用于与 Neon 管理 API 和数据库交互的 MCP 服务器

官方
精选
Exa MCP Server

Exa MCP Server

模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。

官方
精选