web-searchcontent-extractiondocumentationsemantic-searchembedding
Open-source MCP server for web search, content extraction, and library docs indexing with hybrid search and built-in embeddings.
Quick Install
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Manual Client & Custom JSON ConfigExpand JSON ▾
Client Config & Setup
Choose your client or environment
Target File:
💡 Paste the JSON block into your client's configuration file under mcpServers, then restart the application.
Overview
Use cases
Perform web searches without external API keys
Extract and synthesize content from web pages
Index and query library documentation with version awareness
Conduct multi-step research with citation support
Interact with web forms via click, fill, and submit actions
Key features
Embedded SearXNG-based web search
Content extraction with multi-step research
Hybrid search combining full-text (FTS5) and semantic embeddings
Library documentation indexing with version control
Built-in Qwen3 text embeddings without API keys
Interactive web form manipulation with optional session persistence
Capabilities & Tool Schemas (6)
Inspect callable tools, capabilities, and parameters exposed to AI agents by Wet MCP.
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`…
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)
medialist` (discover URLs from gallery pages), `download` (SSRF-safe). `analyze` was removed in v2.0.0 -- use `imagine-mcp.understand` instead
configstatus`, `set`, `cache_clear`, `docs_reindex`, `warmup`, `setup_sync`, `setup_status`, `setup_skip`, `setup_reset`, `setup_complete
helpPer-tool documentation: `search`, `extract`, `media`, `config
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.
Documentation Overview
WET - Web Extended Toolkit MCP Server
mcp-name: io.github.n24q02m/wet-mcp
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. Useimagine-mcp'sunderstandaction for vision/audio/video analysis. Seedocs/migration.mdfor 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 |
| better-code-review-graph | 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-mcp | 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-mcp | Open-source MCP server for AI agents: web search, content extraction, and lib... | MCP |
Table of contents
- Features
- Status
- Quick install
- 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) 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-coreScrapingAgent(basic_http->tls_spoof-> render backends fromBROWSER_BACKENDS(native/browserless/cf-browser-rendering) -> optional key-gatedcaptcha), 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 - Local File Conversion -- Convert PDF, DOCX, XLSX, CSV, HTML, EPUB, PPTX to Markdown
- Media -- List + download images / videos / audio files.
analyzewas removed in v2.0.0 -- useimagine-mcp.understandfor vision/audio inference - Anti-bot -- Stealth strategies bypass Cloudflare, Medium, LinkedIn, Twitter
- Zero Config -- Built-in local reference embedding + reranking through fastretrieval, no API keys needed. Optional cloud providers (Jina AI, Gemini, OpenAI, Cohere, xAI, Anthropic) selected per task via the
EMBEDDING_MODELS/RERANK_MODELS/LLM_MODELSmodel chains for higher-quality vectors and LLM features - Sync -- Cross-machine sync of indexed docs via Google Drive (OAuth Device Code, no browser redirect)
Quick install
Public OCI image publication is discontinued. Existing historical registry tags remain untouched; new container deployments build from source or use the Cloudflare-managed registry.
The HTTP endpoint speaks Streamable HTTP and is OAuth-gated -- your client is prompted to authenticate in the browser on first connect (no API key to paste). Stand one up via Method 3 or the Deploy to Cloudflare section.
Full setup matrices live at the canonical docs site mcp.n24q02m.com/servers/wet-mcp/setup/ and the paste-to-agent snippets at claude-plugins/plugins/wet-mcp/setup-with-agent.md (per Spec F single source of truth).
Configuration
wet runs zero-config out of the box: web search uses an embedded local SearXNG, and embedding/reranking fall back to the bundled local ONNX models through fastretrieval when no cloud keys are set. For higher-quality results, point each task at a cloud model chain. All settings are plain environment variables (no app prefix) -- in the HTTP self-host mode they are entered through the browser setup form instead.
Model chains (CSV provider/model,provider/model; order = fallback). Leave a
chain empty to use the local ONNX models (embedding/rerank) or to disable LLM
features (LLM):
| Env var | Task | Empty default |
|---|---|---|
EMBEDDING_MODELS | Embeddings for docs search | Local fastretrieval ONNX |
RERANK_MODELS | Result reranking | Local fastretrieval cross-encoder |
LLM_MODELS | extract(action="agent") synthesis | LLM features disabled |
Provider keys -- the provider is inferred from each model's prefix; supply the
matching key (litellm <PROVIDER>_API_KEY convention):
Related MCP Servers
Adoption & maintenance
Factual signals from GitHub, npm, and our automated checks — not a rating.
GitHub stars
17
Stargazers on the source repository.
npm downloads
93
Package downloads in the last 30 days.
Last commit
27d ago
Most recent push to the default branch.
Tools exposed
6
Callable tools this server registers over MCP.
Directory activity
1 views
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CategorySearch & Data Extraction
PricingFree
60Quality signal: Good · 60/100How this signal is calculated ▾
Server availabilityNot measured
Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.
Verified ownership10/20
Documentation & tools27/30
Adoption & activity8/15
Community engagement0/10
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Scanned 27d ago via OSV.dev · invocation (PyPI)
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