BrowseAI Dev

stdionone★ 18search

Evidence-backed web research for AI agents. BM25+NLI claim verification, confidence scores, citations, contradiction detection. 12 MCP tools. Works with Claude Desktop, Cursor, Windsurf. Python SDK (pip install browseaidev), LangChain, CrewAI, LlamaIndex integrations. npx browseai-dev

github ↗

Install

How to run this server

[ { "cmd": "npx browseai-dev", "imports": [] } ]

server path: browseai-dev

Tools

What this server exposes

browse_search

Search the web for information on any topic

browse_open

Fetch and parse a web page into clean text

browse_extract

Extract structured claims from a page

browse_answer

Full pipeline: search + extract + cite. `depth`: `"fast"`, `"thorough"`, or `"deep"`

browse_compare

Compare raw LLM vs evidence-backed answer

browse_clarity

Anti-hallucination answer engine — three modes: prompt (prompts only), answer (LLM), verified (LLM + web fusion)

browse_session_create

Create a research session (persistent memory)

browse_session_ask

Research within a session (recalls prior knowledge)

browse_session_recall

Query session knowledge without new web search

browse_session_share

Share a session publicly (returns share URL)

browse_session_knowledge

Export all claims from a session

browse_session_fork

Fork a shared session to continue the research

browse_feedback

Submit feedback on a result to improve accuracy

Configuration

Environment & auth

authnone

envBROWSE_API_KEY

Resources

githubhttps://github.com/BrowseAI-HQ/BrowseAI-Dev ↗