Provides documentation lookup for the Flask web framework, indexing its official docs for search.
Searches GitHub repositories to resolve unknown library IDs and identify candidate documentation sources.
Resolves JavaScript/TypeScript libraries by querying the npm registry for metadata and download counts to locate official documentation.
Resolves Python libraries by querying PyPI for metadata and download counts to locate official documentation.
Provides documentation lookup for Python standard library modules.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type @ followed by the MCP server name and your instructions, e.g., "@memo How to use Flask blueprints?"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
MCP server lokal untuk dokumentasi library versi-terbaru — klon Context7 yang gratis total, unlimited, dan offline-capable. Index dibangun on-demand ke SQLite (BM25 + vektor) dari llms.txt / halaman docs resmi.
resolve_library_id(name, query) — resolusi library → kandidat {repo, docs_url, trust}: alias kurasi manual → builtin stdlib (Node/Python) → directory.llmstxt.cloud → npm/PyPI (trust = downloads) → GitHub search (preferensi bahasa dari query)
get_docs(library_id, query) — hybrid search (BM25 + embedding bge-small-en-v1.5), cache sub-ms setelah first fetch
versions(library_id) — daftar versi yang diketahui
Offline-capable: sekali di-index, cache permanen di SQLite (FTS5 + sqlite-vec)
Related MCP server: Hoard
uv tool install git+https://github.com/ngabzar02/memo-serverRegistrasi di opencode.json (atau config MCP lain):
{
"mcp": {
"memo": {
"type": "local",
"command": ["<path ke uv tool bin>/memo"],
"enabled": true
}
}
}Cold fetch pertama melewati batas timeout MCP (~30s) di beberapa client — panaskan cache dari shell dulu:
memo --warmup flask nextjs httpx
memo --warmup --force flask # re-ingest (docs_url berubah / force refresh)Modul | Peran |
| resolusi nama → {repo, docs_url, trust} |
| fetch → trafilatura → chunk 256 token (overlap 50) |
| SQLite: libs + chunks_fts (BM25) + chunks_vec (sqlite-vec) |
| FastMCP stdio server + |
Data: ~/.local/share/memo/docs.db (buat sekali, dipakai semua library).
MIT
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MCP server for accessing curated awesome list documentation
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