
BrowseAI Dev
io.github.BrowseAI-HQ由 GitHub 帳號 BrowseAI-HQ 發布v0.4.0更新於 Oct 27, 2026
Evidence-backed web research for AI agents with citations and confidence scores.
概覽
BrowseAI Dev(lastsearch)是本地 MCP 伺服器,讓助理進行即時網路搜尋,並取得附引用、經證據驗證的答案與信心分數。
- 可以做什麼
- 透過多個搜尋來源並行搜尋網路,並把網頁抓取為乾淨文字
- 從頁面擷取結構化論述,並對照原文引文進行驗證
- 產出附引用的完整答案,含信心分數、矛盾偵測,以及 fast、thorough、deep 三種深度模式
- 比較原始模型回答與有證據支撐的回答,並提供防幻覺的答案引擎
- 建立、提問、回想、匯出、分享與分岔持續性的研究 session
- 對結果提交準確性回饋
- 適用情境
- 適合需要最新且具來源依據的研究、而非模型記憶的情境:事實查核、文獻或市場比較,以及重視引用與信心分數的多步驟調查。也適合想在多次提問間累積研究內容的代理程式。
- 執行需求
- 透過 npx(Node.js)以 stdio 在本機執行,或作為可設定埠號的 HTTP 伺服器執行。需在 BROWSE_API_KEY 環境變數中提供 BrowseAI Dev API 金鑰;README 另提到進階功能需要 LastSearch 金鑰。搜尋與抓取網頁需要網路存取。
安裝
在 SourceWeft 中
- 開啟 儀表板中的 BrowseAI Dev,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
lastsearch
Reliable research infrastructure for AI agents. The research layer your agents are missing.
MCP server with real-time web search, evidence extraction, and structured citations. Drop into Claude Desktop, Cursor, Windsurf, LangChain, CrewAI, or any agent pipeline.
What it does
Instead of letting your AI hallucinate, lastsearch gives it real-time access to the web with structured, cited answers:
Every answer includes:
- Claims with source URLs, verification status, and consensus level
- Evidence-based confidence score (0-1), not LLM self-assessed, auto-calibrated from feedback
- Source quotes verified against actual page text
- Atomic claim decomposition — compound facts split and verified independently
- Execution trace with timing
- 3 depth modes —
"fast"(default),"thorough"(auto-retry with rephrased queries),"deep"(premium multi-step agentic research: iterative think-search-extract-evaluate cycles with gap analysis, up to 4 steps, targets 0.85 confidence — requires LastSearch key + sign-in, 3x quota cost, falls back to thorough when exhausted)
Premium Features (with LASTSEARCH_API_KEY)
Users with a LastSearch API key (ls_xxx) get enhanced verification:
- Semantic re-ranking — search results re-scored by semantic query-document relevance
- Semantic reranking — evidence matched by meaning, not just keywords
- Multi-provider search — parallel search across multiple sources for broader coverage
- Multi-pass consistency — claims cross-checked across independent extraction passes
- Deep reasoning mode — multi-step agentic research with iterative think-search-extract-evaluate cycles, gap analysis, and cross-step claim merging (up to 4 steps, 3x quota cost, 100 deep queries/day)
- Research Sessions — persistent memory across queries
Free LastSearch key users get a generous daily quota (100 premium queries/day, or ~33 deep queries/day at 3x cost each). When exceeded, queries gracefully fall back to keyword verification (deep falls back to thorough). Quota resets every 24 hours.
Sign up at lastsearch.ai for a free API key — 100 premium queries/day with full verification pipeline.
Quick Start
This auto-configures Claude Desktop. You'll need a LastSearch API key — get one free at lastsearch.ai/dashboard.
Manual Setup
Claude Desktop
Add to ~/Library/Application Support/Claude/claude_desktop_config.json:
Cursor / Windsurf
Add to your MCP settings:
HTTP Transport
Run as an HTTP server for browser-based clients, Smithery, or any HTTP-capable agent:
The server exposes:
POST /mcp— MCP Streamable HTTP endpointGET /health— Health check
Docker
MCP Tools
Note: All tools require a LastSearch API key (
ls_xxx). Get a free one at lastsearch.ai/dashboard.
Examples
Quick lookup:
"Use answer to explain what causes aurora borealis"
Higher accuracy:
"Use answer with depth thorough to research quantum computing"
Deep research (multi-step, requires LastSearch key):
"Use answer with depth deep to compare CRISPR approaches for sickle cell disease"
Deep mode runs iterative think-search-extract-evaluate cycles: gap analysis identifies missing info, follow-up queries fill the gaps, and claims/sources are merged across steps with final re-verification. Targets 0.85 confidence across up to 4 steps. Falls back to thorough without a LastSearch key or when quota is exhausted.
Contradiction detection:
"Use answer with depth thorough to check if coffee is good for health, and show me any contradictions"
Research session:
"Create a session called quantum-research, then ask about quantum entanglement, then ask how entanglement is used in computing"
Enterprise search:
"Use answer to search our Elasticsearch at https://es.company.com/kb/_search for our refund policy"
Response structure
Why lastsearch?
Reliability
All API calls include automatic retry with exponential backoff on transient failures (429 rate limits, 5xx server errors). Auth errors fail immediately — no wasted retries.
Tech Stack
- Search: Multi-provider (parallel search across sources)
- Parsing: @mozilla/readability + linkedom
- AI: OpenRouter (100+ models)
- Verification: Hybrid keyword and semantic verification
- Protocol: Model Context Protocol (MCP)
Agent Skills
Pre-built skills that teach coding agents when to use LastSearch tools:
Skills work with Claude Code, Codex CLI, Gemini CLI, Cursor, and more. View skills →
Community
License
Apache 2.0
Data, privacy and terms
This package sends your requests (queries, URLs and documents you ask it to verify) and your LastSearch API key to the hosted LastSearch API at lastsearch.ai. Queries and results are stored there and used, in aggregate and without identifiers, to improve verification, as described in the Privacy Policy. The package itself collects no telemetry. Use of the hosted API is subject to the Terms.
LastSearch is a free, non-commercial passion project run by an individual developer. Answers, citations and confidence scores are AI-generated research, not professional advice; verify anything important against primary sources.
來源:apps/mcp/README.md,提交 7772bd9
工具
0版本歷史
1- v0.4.0最新Sep 16, 2026
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