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@infoinlet/mcp-browser-research

v0.1.1

Published

Web browsing + research for AI agents: fetch & read pages, structured extraction, Exa web search & deep research. MCP server.

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infoinletinfoinlet

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Readme

browser-research

Web browsing + research for AI agents, as an MCP server. Design doc: ../../docs/05-BROWSER-RESEARCH-MCP.md.

Tools: | Tool | Needs | What | |---|---|---| | browse_url | — | Fetch a page → clean readable main-content text (+ optional links). | | extract_from_page | OpenRouter | Fetch a page → structured JSON per your instruction. | | web_search | Exa | Semantic web search (ranked results). | | deep_research | Exa + OpenRouter | Search → read top results → synthesize a cited answer. |

browse_url/extract_from_page work with no search key (only OpenRouter for extraction). web_search/deep_research return a clear "needs EXA_API_KEY" message until you set one. JS-rendered SPAs return server HTML; a Browserbase-backed render path is a documented v2 toggle.

Run

cp .env.example .env   # OPENROUTER_API_KEY (extraction) + EXA_API_KEY (search, optional)
npm install && npm run build
node dist/server.js