pulsemcp scanned Safe content atomic mcp-remote

Traditional Chinese Text Linting

A linguistic linter for Traditional Chinese (zh-TW) that enforces Taiwan Ministry of Education standards on vocabulary, punctuation, and character shapes. It catches Mainland Chinese (zh-CN) regional drift before it reaches the user, addressing the problem of AI language models favoring Simplified Chinese terminology due to training data imbalances. Over 1000 vocabulary rules and 15 casing rules are compiled into the binary, covering cross-strait vocabulary normalization, full-width punctuation enforcement, CJK-Latin spacing, and non-standard character variant correction. Three configurable profiles (default, strict_moe, ui_strings) control which rules apply.

Cognium trust score

47%

Tier

Scanned

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 2026-09-28.

Scan details: Circle-IR · 2026-09-28 · Appeal

View full trust & usage report →

Metadata

Version: 1.0.0
Skill type: atomic
Execution layer: mcp-remote
Category: file-system
Source: PulseMCP
Repository: github.com/sysprog21/zhtw-mcp
Author type: human
Last scanned: 2026-09-28
Updated: 2026-09-28

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MCP

Resolve Traditional Chinese Text Linting 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"