Skip to main content

Open-source MCP Server for web search, extract, crawl, academic research, and library docs with embedded SearXNG

Project description

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 License: MIT

Python SearXNG MCP semantic-release Renovate

WET MCP server

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.

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

wet_mcp-2.28.0.tar.gz (124.5 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

wet_mcp-2.28.0-py3-none-any.whl (138.8 kB view details)

Uploaded Python 3

File details

Details for the file wet_mcp-2.28.0.tar.gz.

File metadata

  • Download URL: wet_mcp-2.28.0.tar.gz
  • Upload date:
  • Size: 124.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: uv/0.11.8 {"installer":{"name":"uv","version":"0.11.8","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Ubuntu","version":"24.04","id":"noble","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":true}

File hashes

Hashes for wet_mcp-2.28.0.tar.gz
Algorithm Hash digest
SHA256 8ba1aa96baedfd3094ecbee0b36f19ea44fcec4232d49537df7b3bb4bad4d55c
MD5 62fad5357f3d9b3a5a0013f16c344294
BLAKE2b-256 914022d60146822fba82ede125aa7668c43070ead2b8189520eaa39ed4754f1c

See more details on using hashes here.

File details

Details for the file wet_mcp-2.28.0-py3-none-any.whl.

File metadata

  • Download URL: wet_mcp-2.28.0-py3-none-any.whl
  • Upload date:
  • Size: 138.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: uv/0.11.8 {"installer":{"name":"uv","version":"0.11.8","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Ubuntu","version":"24.04","id":"noble","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":true}

File hashes

Hashes for wet_mcp-2.28.0-py3-none-any.whl
Algorithm Hash digest
SHA256 443d9031ee9f4421f03e4f9a77222c29184ecd5e6248662a8054b95bba50b129
MD5 cbdba7c8858eabb6fd79fc8dab82a9ba
BLAKE2b-256 0fd7af145dac6f08021ce91c697de5dd4ffefdf2dc16336e89d07d03b681f74a

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page