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enconvert/mcp

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Web and file reading for AI agents with a 0-1 render_quality score on every read. EnConvert perceives pages, discovers URLs, searches the live web, extracts structured data, ingests RAG-ready chunks...

概览

Web and file reading for AI agents with a 0-1 render_quality score on every read. EnConvert perceives pages, discovers URLs, searches the live web, extracts structured data, ingests RAG-ready chunks and watches for changes, all through one API key, and every web read comes back scored with named deductions so a blocked, challenge or empty-SPA page is flagged instead of mistaken for content. Official for EnConvert. It lets any MCP-compatible AI agent (Claude Code, Cursor, Windsurf, Claude Desktop, Continue, etc.) read the web and convert files through a single command. Listed on: Official MCP Registry · Glama · LobeHub · npm Twenty-four tools, optimized for reliable LLM tool selection. All URL/browser work goes through the V2 tools (perceive_url and friends); the V1 tools cover local/remote FILE conversion. All 24 are registered by default; see Toolsets to register only the web or only the file tools. perceive_url (and everything built on it) returns render_quality (0.0-1.

README

以下为原文 README 节选,完整内容请查看原文。

@enconvert/mcp

Web and file reading for AI agents with a 0-1 render_quality score on every read. EnConvert perceives pages, discovers URLs, searches the live web, extracts structured data, ingests RAG-ready chunks and watches for changes, all through one API key, and every web read comes back scored with named deductions so a blocked, challenge or empty-SPA page is flagged instead of mistaken for content.

Official Model Context Protocol (MCP) server for EnConvert. It lets any MCP-compatible AI agent (Claude Code, Cursor, Windsurf, Claude Desktop, Continue, etc.) read the web and convert files through a single command.

Listed on: Official MCP Registry · Glama · LobeHub · npm

What you get

Twenty-four tools, optimized for reliable LLM tool selection. All URL/browser work goes through the V2 tools (perceive_url and friends); the V1 tools cover local/remote FILE conversion. All 24 are registered by default; see Toolsets to register only the web or only the file tools.

Every web read is scored

perceive_url (and everything built on it) returns render_quality (0.0-1.0) with named deductions such as anti_bot_challenge, http_error or login_wall, plus the source status_code. The contract your agent can rely on:

  • A detected content-free block is HTTP 200 with is_blocked: true, empty outputs and billed: false. The tool text says Blocked: yes (not billed). There is nothing to read; do not retry the same URL expecting a different answer.
  • Reads whose deductions include http_error or login_wall are also not billed (billed: false, text Not billed.). Cache hits are billed.
  • Treat render_quality below 0.40 as not-content: surface the score and deductions instead of the markdown.
  • A 429 comes back as plain text: Rate limited; retry after N seconds, from the gateway’s Retry-After header.

File conversion (6)

Tool What it does
convert_document Convert DOC(X), XLS(X), PPT(X), ODT, ODS, ODP, OTS, Pages, Numbers, EPUB, HTML, MD, CSV, JSON, XML, YAML, TOML to PDF (or between each other)
convert_image Convert between JPEG, PNG, SVG, HEIC, WebP, plus PDF → JPEG rasterization (handy for iPhone HEIC → WebP). SVG rasterization takes optional width and height controls
在 GitHub 查看完整 README

安装

npx -y @enconvert/mcp@latest
新手?先看 mcpskill.org 教程 →

配置

{ "mcpServers": { "enconvert": { "command": "npx", "args": ["-y", "@enconvert/mcp@latest"], "env": { "ENCONVERT_API_KEY": "sk_live_your_key" } } } }