Skip to content
mcp/skillhub

Time MCP Server

by theobrigitte

MCP server which provides utilities to work with time and dates, with natural language, multiple formats and timezone convertion capabilities.

26Go

context tax

pending

security

97/100

cold start

pending

freshness

Stale7mo ago

Our reading of Time, from the data

Time is an MCP server from theobrigitte.

We haven't measured its tool list yet, so its token cost is unknown.

It looks stale: the newest commit, release or package publish we found was 7 months ago (2026-03-30).

Install Time MCP server

No published package or hosted endpoint yet — see the repository README for build-from-source instructions.

Security signals

97/100 — no known issues found as of 2026-10-19, from the checks below. This is not a guarantee of safety; review what a server can do before connecting it.

Deductions

  • No security policy (SECURITY.md)-3

Checks

  • ✓Repository hygiene (archived, activity, license, security policy)
  • ○Package metadata (install scripts, provenance) — pending
  • ○Tool descriptions (prompt-injection and hidden-text heuristics) — pending
  • ○Source scan (secrets, CVEs, risky code) by vectra-guard — pending

Scan it yourself before installing with vectra-guard, the open-source agent security CLI. Scoring rules

Freshness

Stale — last maintenance signal 7mo ago. The newest of the signals below sets the band.

  1. Last commit (default branch)

    2026-03-30 · 7mo ago · GitHub

  2. Latest release

    2025-10-01 · 13mo ago · GitHub · v0.4.0

  3. Package published

    no data · npm/PyPI

  4. Registry entry updated

    no data · official registry

FAQ

›Is Time in the official MCP registry?

No. It was indexed from awesome-mcp-servers (punkpeye), awesome-mcp-servers (wong2).

Sources and method

GitHub repository
fetched 2026-10-19
Last checked against all sources
2026-10-19

The description, packages and links come from the maintainer's own published metadata. Token cost, security signals, freshness and the reading above are MCPSkillHub's own measurements; see the methodology. Spot an error? Request a correction or claim the listing.