
BrowseAI Dev
io.github.BrowseAI-HQ由 GitHub 账号 BrowseAI-HQ 发布v0.4.0更新于 Oct 27, 2026
Evidence-backed web research for AI agents with citations and confidence scores.
概览
BrowseAI Dev(lastsearch)是一个本地 MCP 服务器,让助手进行实时网络搜索,并获得带引用、经证据核验的答案和置信度评分。
- 可以做什么
- 通过多个搜索源并行搜索网络,并把网页抓取为干净文本
- 从页面中抽取结构化论断,并对照原文引文进行核验
- 生成带引用的完整答案,含置信度、矛盾检测以及 fast、thorough、deep 三种深度模式
- 对比原始模型回答与有证据支撑的回答,并提供防幻觉的答案引擎
- 创建、提问、回忆、导出、分享和分叉持久化研究会话
- 对结果提交准确性反馈
- 适用场景
- 适合需要最新且有来源支撑的研究而非模型记忆的场景:事实核查、文献或市场对比,以及重视引用与置信度的多步调查。也适合希望在多次提问中累积研究内容的智能体。
- 运行要求
- 通过 npx(Node.js)以 stdio 在本地运行,或作为可配置端口的 HTTP 服务器运行。需要在 BROWSE_API_KEY 环境变量中提供 BrowseAI Dev API 密钥;README 还提到高级功能需要 LastSearch 密钥。搜索与抓取网页需要网络访问。
安装
在 SourceWeft 中
- 打开 控制台中的 BrowseAI Dev,将其添加到工作区。
- 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
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.
来源:apps/mcp/README.md,提交 7772bd9
工具
0版本历史
1- v0.4.0最新Sep 16, 2026
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