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io.github.n24q02m/wet-mcp

· github.com/n24q02m/wet-mcp

Open-source MCP server for AI agents: web search, content extraction, and library docs.

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About io.github.n24q02m/wet-mcp

io.github.n24q02m/wet-mcp is an MCP server in the Documentation category: open-source MCP server for AI agents: web search, content extraction, and library docs.

Install

uvx
uvx wet-mcp
pip
pip install wet-mcp

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

Tools (6)

config`status`, `set`, `cache_clear`, `docs_reindex`, `warmup`, `setup_sync`, `setup_status`, `setup_skip`, `setup_reset`, `setup_complete`

Parameters not published.

config__open_relayRe-trigger the zero-config relay setup flow (prints a fresh relay URL for the browser form). Registered via `mcp-core`'s `register_open_relay_tool` so an LLM can restart setup without a manual restart.

Parameters not published.

extractURL -> smart chunks dict (`clean_text` + `markdown` + `structured_data` + `code_blocks` + `metadata`) via web-core 5-strategy chain. Batch processing (up to 50 URLs), deep crawling, site mapping, local file conversion (PDF/DOCX/XLSX/PPTX/EPUB), structured extraction (JSON Schema)

Parameters not published.

helpPer-tool documentation: `search`, `extract`, `media`, `config`

Parameters not published.

media`list` (discover URLs from gallery pages), `download` (SSRF-safe). `analyze` was removed in v2.0.0 -- use `imagine-mcp.understand` instead

Parameters not published.

searchWeb (SearXNG metasearch), news, images, academic research (Scholar / arXiv / PubMed / CrossRef / Semantic Scholar / BASE), library docs (HyDE + FTS5), find similar pages. Includes `docs_resolve` (library name -> ranked id), `docs_query` (version-aware + topic + 5000-token cap), `docs_lock_project` (Cabinets project pin via pyproject / package.json / go.mod / Cargo.toml manifest detection).

Parameters not published.

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Security checks

  • ✓README presentThe repository ships documentation.

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README

WET - Web Extended Toolkit MCP Server

mcp-name: io.github.n24q02m/wet-mcp

Open-source MCP Server for web search, content extraction, library docs & multimodal analysis.

CI codecov PyPI Docker

Python SearXNG MCP semantic-release Renovate

Features

  • Web Search -- Embedded SearXNG metasearch (Google, Bing, DuckDuckGo, Brave) with filters, semantic reranking, query expansion, and snippet enrichment
  • 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 -- Clean content extraction (Markdown/Text), structured data extraction (LLM + JSON Schema), batch processing (up to 50 URLs), deep crawling, site mapping
  • Local File Conversion -- Convert PDF, DOCX, XLSX, CSV, HTML, EPUB, PPTX to Markdown
  • Media -- List, download, and analyze images, videos, audio files
  • Anti-bot -- Stealth mode bypasses Cloudflare, Medium, LinkedIn, Twitter
  • Zero Config -- Built-in local Qwen3 embedding + reranking, no API keys needed. Optional cloud providers (Jina AI, Gemini, OpenAI, Cohere)
  • Sync -- Cross-machine sync of indexed docs via Google Drive (OAuth Device Code, no browser redirect)

Setup

With AI Agent -- copy and send this to your AI agent:

Please set up wet-mcp for me. Follow this guide: https://raw.githubusercontent.com/n24q02m/wet-mcp/main/docs/setup-with-agent.md

Manual Setup -- follow docs/setup-manual.md

Tools

Tool Actions Description
search search, research, docs, similar Web search (with filters, reranking, expand/enrich), academic research, library docs (HyDE), find similar
extract extract, batch, crawl, map, convert, extract_structured Content extraction, batch processing (up to 50 URLs), deep crawling, site mapping, local file conversion, structured data extraction (JSON Schema)
media list, download, analyze Media discovery, download, and analysis
config status, set, cache_clear, docs_reindex Server configuration and cache management
setup open_relay, status, skip, reset, complete, warmup, setup_sync Credential setup (browser relay, local-only mode, reset), status check, model warmup, Google Drive sync
help -- Full documentation for any tool

Security

  • SSRF prevention -- URL validation on crawl targets
  • Graceful fallbacks -- Cloud → Local embedding, multi-tier crawling
  • Error sanitization -- No credentials in error messages
  • File conversion sandboxing -- Optional CONVERT_ALLOWED_DIRS restriction

Build from Source

git clone https://github.com/n24q02m/wet-mcp.git
cd wet-mcp
uv sync
uv run wet-mcp

License

MIT -- See LICENSE.

README copy captured when this server was indexed; it may lag the repository. The original is authoritative.

Questions

About io.github.n24q02m/wet-mcp

How do I install io.github.n24q02m/wet-mcp?

Run uvx wet-mcp, then add the server to your MCP client's configuration.

Is io.github.n24q02m/wet-mcp safe to use with an AI agent?

Its trust score is 37 out of 100 (low). It passes 1 of the 1 static security checks run so far. It has no ConduID identity yet, so agent calls to it are not receipted.

Is io.github.n24q02m/wet-mcp still maintained?

Conduid hasn't recorded a commit date for this repository yet. Check the repository directly for recent activity.