SkillTide MCP

skilltide-mcp

An MCP server that lets an AI agent search SkillTide — a catalogue of 7,546 MCP servers, agent skills and open-source AI projects, plus 1,501 AI tools for non-developers.

Read-only. Zero dependencies. One file.

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 1,501 links: 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.

Install & run

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

git clone https://github.com/<owner>/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": {
    "skilltide": {
      "command": "python3",
      "args": ["/absolute/path/to/skilltide_mcp.py"]
    }
  }
}

Configuration

Env var	Default	Meaning
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 SKILLTIDE_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"], "skilltide_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 5,585 · Agent 技能 133). Use a value as category in search_tools.

Data

Source	Rows	What it is
items	7,546	MCP servers, agent skills, open-source AI projects
ai_tools	1,501	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