
Codesearch
io.github.SK-DEV-AI由 GitHub 帳號 SK-DEV-AI 發布v1.0.1更新於 Oct 24, 2026
Code, package, docs, paper and vulnerability search. 17 tools, keyless lanes.
概覽
本機 MCP 伺服器,讓助理跨多個來源搜尋程式碼、套件、文件、論文、漏洞與問答社群。
- 可以做什麼
- 在已索引的 npm、PyPI、crates 相依套件中搜尋程式碼、文件與符號,並列出或讀取其檔案
- 分析 GitHub 儲存庫(中繼資料、程式碼品質、wiki 架構),在儲存庫內搜尋、檢視檔案樹與讀取檔案
- 查詢套件登錄庫的版本、相依關係與安全公告,取得含變更記錄與升級審查的複合套件情報
- 查詢漏洞、授權條款與最新版本,並附帶 NVD 資訊
- 取得文件、Stack Overflow 回答、Hacker News 討論與學術論文
- 為結果清單補充全文內容、去重並重新排序,另提供連線檢查
- 適用情境
- 適合需要在一處完成程式碼、套件、文件、論文與漏洞調查的情境,例如評估某個相依套件、審查升級,或快速熟悉一個陌生的儲存庫。
- 執行需求
- 以 Python 套件形式透過 stdio 在本機執行(需 Python 3.14+),可從 PyPI 安裝或以 Docker 執行。許多通道不需金鑰;選用金鑰如 GITHUB_TOKEN、CONTEXT7_API_KEY、TAVILY_KEYS、S2_API_KEY、SE_API_KEY、SOFA_KEY、LI_KEY、OSS_TOKEN、FIRECRAWL_KEYS、NV_KEY 與 GROQ_API_KEYS 可提高速率限制或啟用額外通道。需要網路存取。
安裝
在 SourceWeft 中
- 開啟 儀表板中的 Codesearch,將其新增到工作區。
- 為需要使用其工具的對話啟用該服務。
Desktop only,透過 STDIO。 STDIO 服務會啟動本機處理程序,因此需要 SourceWeft 桌面主機。
其他 MCP 客戶端
參照 儲存庫 中的啟動說明。
README
codesearch MCP Server
mcp-name: io.github.SK-DEV-AI/codesearch
Companion agent skills: SK-DEV-AI/skills · 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 usesearchcodeoranalyze. - 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. Needsrepositoryfor 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 usepkg. - 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)ordevdocs_fetch_contentfor full pages. - so_search — Stack Overflow:
stackexchange(authoritative resolved answers) orsofa(fresher agent content, needsSOFA_KEY). - hn — Hacker News discussion and sentiment (search, stories, items, users).
- papers — Academic papers. Prefer
action=search(S2 → arXiv → OpenAlex → CORE fallback chain);arxiv_searchis 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+.
Point your MCP client at run (stdio):
API keys (run)
Install from PyPI
The codesearch-mcp console script speaks MCP over stdio:
Docker
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).
來源:README.md,提交 022c3cc
工具
0版本歷史
1- v1.0.1最新Oct 23, 2026
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