FAQ (answers come from our records)
How do I install it?
We did not find an install command for this repository (our install coverage is only about 4%). Check its README or releases page.
Who is it for?
We filed it under these tags: MCP 服务. The tags come from the entry itself, not a taxonomy we imposed.
Who maintains it?
repository n24q02m/wet-mcp;first catalogued 2026-10-09;last seen 2026-10-16。There is no official certification or quality rating here — we record sources and dates only.
WET - Web Extended Toolkit MCP Server
以下摘录自该仓库的 README(片段) · 在 GitHub 读完整 README →
> **Renamed (2026-09-13):** repo is now wet — CLI-first (wet command). PyPI package stays wet (PyPI policy blocks new project wet); MCP server is a secondary surface: run wet with no subcommand.
mcp-name: io.github.n24q02m/wet
> **Renamed:** the repo, CLI and Python module are now wet. The PyPI distribution stays **wet-mcp** (install pip install wet-mcp / uvx wet-mcp). The MCP server remains available: run wet with no subcommand (bare = MCP passthrough); the legacy wet-mcp console alias still works.
**Open-source MCP server for AI agents: web search, content extraction, and library docs.**
| Phase | Status | Scope |
|---|---|---|
| Phase 1 | Shipped | web-core ScrapingAgent migration, smart chunks output, search polish, media slim |
| Phase 2 | Shipped | Context7-level docs search: library index (Tier 1 + Tier 2), version-aware queries with token cap, project lock (Cabinets) |
| Phase 3 | **Shipped** | extract.agent multi-step research with cited synthesis, extract.interact click/fill/submit via patchright (optional session persistence), docs_004_chunk_summaries migration, **media.analyze removed (v2.0.0)** |
> **Current release: v3.x.** media(action="analyze") was removed in the
> v2.0.0 BREAKING release. Use
> imagine-mcp's
> understand action for vision/audio/video analysis. See
> docs/migration.md for the upgrade recipe.
Sister projects from n24q02m (click to expand)
| Project | Tagline | Tag |
|---|---|---|
| agent-chat-plugin | Peer AI agents chat in a shared folder — no human relay, no orchestrator, wor... | Tooling |
| crg | Knowledge graph for token-efficient code reviews -- semantic search and call-... | MCP |
| better-drive | 2-way Google Drive sync with .driveignore filter — rclone engine, Windows tray | Tooling |
| better-email-mcp | IMAP/SMTP email for AI agents -- read, send, organize folders, and manage att... | MCP |
| better-godot-mcp | Composite MCP server for Godot Engine -- 17 composite tools for AI-assisted g... | MCP |
| better-notion-mcp | Markdown-first Notion for AI agents -- pages, databases, blocks, and comments... | MCP |
| better-semantic-release | Drop-in python-semantic-release fork with built-in release-safety guards (orp... | Tooling |
| better-telegram-mcp | Telegram for AI agents -- messages, chats, media, and contacts across both bo... | MCP |
| better-workspace-mcp | Google Workspace MCP server (Docs/Drive/Calendar/Gmail/Sheets/Slides/Tasks/Ch... | MCP |
| claude-plugins | Claude Code plugin marketplace for the n24q02m MCP servers -- install web sea... | Marketplace |
| imagine-mcp | Image and video understanding + generation for AI agents -- across Gemini, Op... | MCP |
| jules-task-archiver | Chrome Extension for bulk operations on Jules tasks via batchexecute API -- a... | Tooling |
| mcp-core | Shared foundation for building MCP servers -- Streamable HTTP transport, OAut... | MCP |
| mnemo | Persistent AI memory with hybrid search and embedded sync. Open, free, unlimi... | MCP |
| fastretrieval | Multi-model embedding and reranking runtime via ONNX and GGUF | Library |
| skret | Secrets without the server. | CLI |
| tacet | A self-distilling neuro-symbolic cascade that amortises LLM cost across knowl... | Tooling |
| web-core | Shared web infrastructure package for search, scraping, HTTP security, and st... | Library |
| wet | Open-source MCP server for AI agents: web search, content extraction, and lib... | MCP |
Table of contents
- Features
- Status
- Quick install
- Self-host usage
- Configuration
- Documentation
- Tools
- CLI
- Comparison
- Security
- Build from Source
- Deploy to Cloudflare
- Smithery
- Trust Model
- License
Features
- **Web Search** -- Embedded SearXNG metasearch (Google, Bing, DuckDuckGo, Brave) with query expansion, TTL cache (1 h general / 5 min time-sensitive), standardized citation format, and 200-token snippet cap. Optional cloud search backends (Tavily, Brave, Exa, Kagi, OpenRouter, Firecrawl) as a fallback chain via SEARCH_BACKENDS
- **Academic Research** -- Search Google Scholar, Semantic Scholar, arXiv, PubMed, CrossRef, BASE
- **Library Docs** -- Auto-discover and index documentation with FTS5 hybrid search, HyDE-enhanced retrieval, and version-specific docs
- **Content Extract** -- 5-strategy escalation chain via n24q02m-web-core ScrapingAgent (basic_http -> tls_spoof -> render backends from BROWSER_BACKENDS (native / browserless / cf-browser-rendering) -> optional key-gated captcha), markitdown bridge for low-tier HTML/MD fallback, smart chunks structured output (clean text + markdown + JSON-LD + code blocks + metadata), batch processing (up to 50 URLs), deep crawling, site mapping