codesearch MCP Server

mcp-name: io.github.SK-DEV-AI/codesearch

· npx skills add SK-DEV-AI/skills

Code, package, docs, and paper search MCP server. Per-package source navigation (npm/PyPI/crates), per-repo intelligence (GitHub URL or owner/repo), Q&A communities, vulnerability data, documentation, and academic papers — with embedding dedup and a local cross-encoder reranker.

Tools (17)

• analyze — Start here for unfamiliar repos: GitHub metadata + code quality + wiki architecture in one call (10–15s).
• search_all — Broad multi-source discovery (Context7, GitHub, DeepWiki, CodeWiki, SO, HN, Libraries.io, npm, DevDocs, Semantic Scholar, Tavily…). For surgical single-source work call the tool below directly.
• code_search — Search code/docs/symbols across indexed dependencies (target=npm:express). npm/PyPI/crates only — for GitHub repos use searchcode or analyze.
• code_files / code_read — List files / read a file in an indexed dependency by package spec.
• searchcode — Per-repo intelligence: analyze (overview), search (code within the repo), findings (quality issues), file_tree, get_file. Needs repository for every action. Free, no auth.
• wiki — Repo architecture Q&A via DeepWiki + CodeWiki. Single repo (owner+repo) or up to 10 repos (repos).
• search_package — Raw registry queries: versions, dist-tags, deps.dev graphs, advisories (version='latest' OK). For composite intelligence use pkg.
• pkg — Composite package intelligence: metadata, changelog, upgrade review (vulns + changelog + deps diff), file list/read.
• search_libraries — Libraries.io metadata and source rank. Compare dependency candidates, find the repo behind a package.
• vulns — Sonatype Guide + keyless OSV.dev fallback: scan (needs platform+name+version), detail (needs vuln_id; enriched with NVD CVSS/CWE/references), latest_version/license (need purl).
• docs — Docs with smart fallback (Context7 → ReadTheDocs → llms.txt → DevDocs); then fetch(url) or devdocs_fetch_content for full pages.
• so_search — Stack Overflow: stackexchange (authoritative resolved answers) or sofa (fresher agent content, needs SOFA_KEY).
• hn — Hacker News discussion and sentiment (search, stories, items, users).
• papers — Academic papers. Prefer action=search (S2 → arXiv → OpenAlex → CORE fallback chain); arxiv_search is single-source and rate-limited.
• enrich — Fetch full content for a result list from any search tool, dedup + rerank.
• ping — Connectivity check. Use before expensive calls when uncertain.

Setup

Requires Python 3.14+.

python3 -m venv .venv && source .venv/bin/activate
pip install -r requirements.txt
cp run.example run   # fill in your API keys (run is gitignored — never commit it)
chmod +x run

Point your MCP client at run (stdio):

{ "codesearch": { "command": "/path/to/codesearch/run" } }

API keys (run)

Install from PyPI

pip install skdev-codesearch-mcp          # core install, small
pip install skdev-codesearch-mcp[all]     # + browser/OCR/extract extras (multi-GB)

The codesearch-mcp console script speaks MCP over stdio:

{ "codesearch": { "command": "codesearch-mcp" } }

Docker

docker build -t codesearch-mcp .
docker run --rm -i codesearch-mcp

Keys are passed at run time, never baked in: -e GROQ_API_KEYS=.... Heavy extras: docker build --build-arg EXTRAS="[all]" -t codesearch-mcp .

Notes

• Reranker (optional, local): shared with the websearch server — one cross-encoder worker over a Unix socket. Without it, results return unranked; everything still works.
• Caching: per-source file caches with TTLs; repeat queries are cheap.
• Safety: all user-URL fetches are SSRF-validated (private-IP blocking + redirect-hop revalidation).