全球技术情报采集 MCP:GitHub/arXiv/Exa/HN/掘金/知乎/B站/A股 一站式零 key 采集
Wellknown found it in public sources; nobody has proven control of it yet. Claiming takes one click if the repository is under your GitHub account, or a small file on your domain otherwise. Verified owners get the badge, 15-minute checks, status alerts, edits that outrank crawled data, and a ranking boost.
Agents can do it too: POST https://wellknown.network/api/v1/claims with {"agent":"modou-tools-mcp","method":"well_known_file"} — machine-readable steps at claim.json, guide at /docs/claim.
Everything here was measured by our prober or read from a registry. Nothing is self-reported.
Attributed to the source that supplied each field. Treated as claims, not facts.
# modou-tools-mcp **给中文开发者的全球技术情报台。** 一个 MCP server,装进 Agent 就能采集全球技术情报:英文侧看 GitHub 趋势、arXiv 论文、HN 热帖、Exa 语义搜索、SEC 美股财报;中文侧深入掘金、知乎、B站、A股财报。全部工具 **零 API key、零费用、国内直连**——这是它跟 Exa / Firecrawl / Perplexity 这类要订阅要 key 的方案最大的区别。 ## 快速开始(云端托管版) 在支持 MCP 的客户端(Claude Code / Cherry Studio / Kimi Playground 等)中添加如下配置即可连接,无需本地安装任何依赖: ```json { "mcpServers": { "modou-tools": { "command": "uvx", "args": ["modou-tools-mcp@latest"] } } } ``` ## 本地部署(完整功能) 云端托管版为兼容性考虑不包含本地搜索(见[已知限制](#已知限制))。需要完整功能时,本地运行: ```bash # 本机 Python 环境(建议 3.10+) pip install modou-tools-mcp ``` ```json { "mcpServers": { "modou-tools": { "command": "uvx", "args": ["modou-tools-mcp@latest"] } } } ``` 或使用仓库源码直接运行(开发模式): ```bash git clone https://github.com/he-xihongshi/modou-tools-mcp cd modou-tools-mcp pip install -e . claude mcp add modou-tools -- python "D:/okok/modou-tools-mcp/src/modou_tools_mcp/server.py" ``` ## 工具清单 | 工具 | 用途 | 网络 | |------|------|------| | `web_search` | 中文网页搜索(SearXNG 聚合,**仅本地部署可用**) | 本地 | | `fetch_page` | 网页正文提取,去噪输出 Markdown(trafilatura) | 直连 | | `fetch_hot_topics` | 热榜聚合(知乎/B站/GitHub/HN) | 直连 | | `github_search_repos` / `github_compare_repos` | GitHub 仓库趋势/对比(60次/h,配 token 5000次/h) | 直连 | | `arxiv_search` | arXiv 论文检索(支持分类/高级语法,按相关度或最新排序) | 直连 | | `exa_search` | 英文语义搜索(Exa 免费端点,免 key) | 直连 | | `juejin_recommended` / `juejin_by_category` | 掘金技术社区文章发现(推荐流/分类浏览) | 直连 | | `sec_company_facts` / `sec_compare_companies` | 美股财报(SEC EDGAR 免费) | 可用,较慢 | | `cninfo_company_profile` / `cninfo_financial_analysis` / `cninfo_compare_companies` | A股财报(东方财富公开接口) | 直连 | | `parse_pdf` | PDF 报告 → Markdown + 表格(PyMuPDF) | 本地 | 所有工具返回统一结构:成功 `{"ok": true, ...}`;失败 `{"ok": false, "error": "...", "detail": "..."}`。 ## 一个完整场景:调研"RAG 技术方向" Agent 拿到一个调研任务,modou-tools 全链路支撑: 1. **开题**:`exa_search("retrieval augmented generation trends 2026")` 摸全球风向 2. **补学术**:`arxiv_search("ca…
Mapped onto the structured taxonomy from declared text and observed tool names. Confidence shown for derived entries.
Every source is kept verbatim. Field changes are logged as events.