Codesearch

io.github.SK-DEV-AI由 GitHub 账号 SK-DEV-AI 发布v1.0.1更新于 Oct 24, 2026

Code, package, docs, paper and vulnerability search. 17 tools, keyless lanes.

概览

AI 生成的概览

本地 MCP 服务器,让助手跨多个来源搜索代码、软件包、文档、论文、漏洞和问答社区。

可以做什么
  • 在已索引的 npm、PyPI、crates 依赖中搜索代码、文档和符号,并列出或读取其文件
  • 分析 GitHub 仓库(元数据、代码质量、wiki 架构),在仓库内搜索、查看文件树和读取文件
  • 查询软件包注册表的版本、依赖与安全公告,获取含变更日志和升级审查的复合包情报
  • 查询漏洞、许可证和最新版本,并附带 NVD 信息
  • 获取文档、Stack Overflow 回答、Hacker News 讨论和学术论文
  • 为结果列表补充全文内容、去重并重排,另提供连通性检查
适用场景
适合需要在一处完成代码、软件包、文档、论文和漏洞调研的场景,例如评估某个依赖、审查升级,或快速了解一个陌生仓库。
运行要求
以 Python 包形式通过 stdio 在本机运行(需 Python 3.14+),可从 PyPI 安装或用 Docker 运行。许多通道无需密钥;可选密钥如 GITHUB_TOKEN、CONTEXT7_API_KEY、TAVILY_KEYS、S2_API_KEY、SE_API_KEY、SOFA_KEY、LI_KEY、OSS_TOKEN、FIRECRAWL_KEYS、NV_KEY 和 GROQ_API_KEYS 可提高速率限制或启用额外通道。需要网络访问。
安装前请注意
多个可选密钥从环境变量读取,请勿写入会被提交的文件。安装 all 附加组件会拉取数 GB 的浏览器/OCR 依赖。它会抓取用户提供的网址,README 称已做 SSRF 校验。未启用可选的本地重排器时结果可能不排序。

安装

在 SourceWeft 中

  1. 打开 控制台中的 Codesearch,将其添加到工作区。
  2. 为需要使用其工具的对话启用该服务。

Desktop only,通过 STDIO。 STDIO 服务会启动本地进程,因此需要 SourceWeft 桌面宿主。

其他 MCP 客户端

参照 仓库 中的启动说明。

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 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+.

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

Point your MCP client at run (stdio):

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

API keys (run)

KeyUsed forRequired?
GITHUB_TOKENGitHub API (repo ops, higher rate limits)Recommended
CONTEXT7_API_KEYContext7 docsOptional
TAVILY_KEYSTavily lane in search_allOptional
S2_API_KEYSemantic Scholar (1 rps dedicated vs shared anonymous pool)Optional
SE_API_KEY / SOFA_KEYStack Exchange / Stack Overflow for AgentsOptional
LI_KEYLibraries.ioOptional
OSS_TOKENSonatype OSS IndexOptional
FIRECRAWL_KEYSFirecrawl fallbackOptional
NV_KEYNVIDIA embedding endpointOptional

Install from PyPI

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

The codesearch-mcp console script speaks MCP over stdio:

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

Docker

bash
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).

来源:README.md,提交 022c3cc

工具

0
SourceWeft 曾在隔离沙箱中以无凭据方式启动该软件包一次,以列出其工具,但未能完成:该软件包类型无法在沙箱中运行。

版本历史

1
  1. v1.0.1最新Oct 23, 2026

评分

已满足适用检查项的 50%

该评分衡量此收录条目的完整程度,依据注册中心条目、端点与公开来源计算得出。它不是对服务器本身的评价,也不表示服务器安全或当前可用:可连通性是带日期的检查结果,评分也不包含安装量或用户评价。

  • 近 30 天内可连通25 分

    请保持端点能够响应 MCP 握手;SourceWeft 每 30 天探测一次。

  • 已声明认证方式10 分

    请在注册中心条目中声明凭据请求头,或保持端点能够响应探测,以便判定其认证方式。

  • 已列出工具15 分

    请让服务器在无凭据时响应 tools/list,或发布可在沙箱中无凭据启动的软件包。

  • 描述必需15 分
  • 图标10 分
  • 文档15 分
  • 许可证10 分