Anclum MCP

SkillTide MCP — 搜尋 MCP 伺服器、代理技能與開源 AI 專案的目錄，以及供非開發者使用的 AI 工具。僅限官方連結：每個工具連結都會追蹤至最終目的地，且必須指向供應商自己的網站。來源資訊公開透明：get_tool 會回傳有多少來源收錄該項目、我們首次與最後一次看到它的時間，以及原始來源欄位。中文可用性標籤（已驗證的中文介面、ICP 備案）與星數分開保留，因此代理或個人可以判斷資料的新鮮度，而不必信任排名。唯讀、零依賴、單一檔案。

GitHub

文件

Anclum

An MCP server that lets an AI agent search Anclum — a catalogue of MCP servers, agent skills and open-source AI projects, plus AI tools for people who are not developers.

Read-only. Zero dependencies. One file.

The GitHub repository keeps its original name skilltide-mcp because the official MCP Registry entry, Glama listing and existing client configs reference it. The product is Anclum (site: https://anclum.com).

Why this one is different

Most directories give you a name and a link. These are the things we actually verified before putting an entry in — each of them is checkable from the server's own output:

Official links only. Every AI-tool link points at the tool's own site. We measured Every link checked: 0 redirect/link-wrapper pages, 0 tracking parameters. Many directories in this space pass through the affiliate or redirect URL they were given.
Provenance is visible. get_tool returns how many sources listed an entry, when we first and last saw it, and the raw source field — so an agent (or a person) can judge freshness instead of trusting a rank.
Chinese-usability labels. Each AI tool carries whether we verified a Chinese UI (cn_ui) and whether the site holds a Chinese MIIT filing (icp_filed) — the two things a Chinese-speaking user actually needs to know before clicking.
Thin pages are marked, not padded. Entries without substantive content are noindex on the site and we do not claim otherwise here.

We do not claim this is the best or most complete directory — only that the above are true and verifiable.

Remote endpoint (no install needed)

Anclum is available as a hosted Streamable HTTP MCP server — nothing to install:

{"mcpServers": {"anclum": {"url": "https://anclum.com/mcp"}}}

Listed in the official MCP Registry as io.github.wdfdaivd/anclum:

curl -s "https://registry.modelcontextprotocol.io/v0/servers?search=anclum"

Read-only, rate limited (10 req/min per IP, burst 20), and it answers in tens of milliseconds:

Tool	What it does
`search_tools`	Free-text search across MCP servers, agent skills and open-source AI projects, plus AI tools
`get_tool`	Fetch one catalogue entry by its key
`list_categories`	List the taxonomies with live counts

Every result links to a verified official URL (no redirect pages, no tracking parameters) and carries provenance: source count, first/last seen.

Install & run

No dependencies — Python 3.10+ standard library only. Clone and run:

git clone https://github.com/wdfdaivd/skilltide-mcp.git
cd skilltide-mcp
python3 skilltide_mcp.py

It speaks MCP over stdio (newline-delimited JSON-RPC 2.0), protocol version 2024-11-05.

Claude Desktop / Cursor

{
  "mcpServers": {
    "anclum": {
      "command": "python3",
      "args": ["/absolute/path/to/skilltide_mcp.py"]
    }
  }
}

Configuration

Env var	Default	Meaning
`ANCLUM_DB` (legacy: `SKILLTIDE_DB`)	`/opt/dsh-app/var/aggregator.db`	Path to the SQLite catalogue (opened read-only)

The default path is our server's. For a local checkout, point ANCLUM_DB at your own copy of the SQLite file (schema: items and ai_tools tables).

Tools

`search_tools(query, category?, limit?)`

Search both catalogues. Splits the query into tokens and requires every token to match (name, one-line summary or tags); if that returns nothing it retries with any token. Chinese queries work.

{
  "query": "kubectl",
  "count": 2,
  "results": [
    {"key": "rohitg00-kubectl-mcp-server", "name": "rohitg00/kubectl-mcp-server",
     "url": "https://github.com/rohitg00/kubectl-mcp-server", "kind": "catalogue",
     "fields": ["MCP 服务"], "anclum_url": "https://anclum.com/en/s/rohitg00-kubectl-mcp-server/"}
  ]
}

`get_tool(key)`

Full record for one entry: description, tags, sources, first/last seen, install command when the repository itself provided one (install_cmd, else null — we do not invent commands), and the upstream repo.

`list_categories()`

The two taxonomies, with counts: 15 AI-tool categories and 21 field tags (e.g. MCP 服务 · Agent 技能). Use a value as category in search_tools.

Data

Source	Rows	What it is
`items`	(live)	MCP servers, agent skills, open-source AI projects
`ai_tools`	(live)	AI tools for end users — writing, image, video, office…

The site is https://anclum.com. This server only reads; it writes nothing.

Testing

python3 selftest.py

Starts the server as a real subprocess, speaks the stdio protocol, and asserts on the actual results (not just "did not error") — 8 checks including a Chinese query, an unknown-tool error, and ping.

License

MIT