pulsemcp verified Safe content atomic mcp-remote

Tung Shing Calendar

This MCP implementation, developed by Baran, provides a TypeScript-based interface for working with dates, times, and calendars. Built using the dayjs library and its lunar calendar plugin, it offers tools for parsing, formatting, and manipulating dates in both Gregorian and lunar calendars. The implementation focuses on cross-calendar functionality and internationalization support, making it easier for AI models to handle date-related tasks across different cultural contexts. It's particularly useful for applications requiring date calculations, event scheduling, or cultural date conversions, enabling AI to perform complex calendar operations without needing deep knowledge of various calendar systems.

Cognium trust score

99%

Tier

Verified

Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-19.

Scan details: Circle-IR · 2026-09-19 · Appeal

View full trust & usage report →

Metadata

Version: 1.0.0
Skill type: atomic
Execution layer: mcp-remote
Category: productivity
Source: PulseMCP
Repository: github.com/baranwang/mcp-tung-shing
Author type: human
Last scanned: 2026-09-19
Updated: 2026-09-19

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MCP

Resolve Tung Shing Calendar from your agent

Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.

One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.

claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp

Swap --scope user for --scope project to commit it to .mcp.json.

Your client Same endpoint everywhere; only the config key differs. The full list is in the descriptor.

Claude Desktop · Settings → Connectors → Add custom connector

https://api.skillsregistry.net/mcp

Paste the URL as the connector endpoint. No authentication.

ChatGPT · Settings → Connectors → Create (developer mode) → MCP server URL

https://api.skillsregistry.net/mcp

Authentication: none. Works in chat and deep research — the server exposes the connector search and fetch tools.

Codex CLI · ~/.codex/config.toml

[mcp_servers.skillsregistry]
url = "https://api.skillsregistry.net/mcp"