n24q02m/wet

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Open-source MCP server for AI agents: web search, content extraction, and library docs -- 5-strategy scraping, runs without API keys.

概览

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. the repo, CLI and Python module are now wet. The PyPI distribution stays (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. 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) - -- 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.

README

以下为原文 README 节选，完整内容请查看原文。

WET - Web Extended Toolkit MCP Server

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.

Project	Tagline	Tag

在 GitHub 查看完整 README

安装

uvx wet-mcp

新手？先看 mcpskill.org 教程 →

配置

{
  "mcpServers": {
    "wet": {
      "command": "uvx",
      "args": ["wet-mcp"],
      "env": {
        "OPENROUTER_API_KEY": "sk-or-xxx"
      }
    }
  }
}