🐍 🏠 - Extract content from URLs, documents, videos, and audio files using intelligent auto-engine selection. Supports web pages, PDFs, Word docs, YouTube transcripts, and more with structured JSON r
Install
uvx content-coreRequired environment variables
OPENAI_API_KEYSet in your MCP configFIRECRAWL_API_KEYSet in your MCP configJINA_API_KEYSet in your MCP configclaude_desktop_config.json
{
"mcpServers": {
"lfnovo-content-core": {
"command": "uvx",
"args": [
"content-core"
],
"env": {
"OPENAI_API_KEY": "<YOUR_OPENAI_API_KEY>",
"FIRECRAWL_API_KEY": "<YOUR_FIRECRAWL_API_KEY>",
"JINA_API_KEY": "<YOUR_JINA_API_KEY>"
}
}
}
}Add this to your Claude Desktop config file. Find it at ~/Library/Application Support/Claude/claude_desktop_config.json on macOS.
What this does
lfnovo/content-core exposes a set of tools to Claude over the Model Context Protocol. After you add it to claude_desktop_config.json (snippet above) and restart Claude Desktop, those tools become callable inside any conversation. That makes it useful when you want Claude to reach into the local or remote filesystem without copy-pasting context every turn.
Requirements
This server needs the following environment variables to be set before it can run:
OPENAI_API_KEY FIRECRAWL_API_KEY JINA_API_KEY
Set these via the env object in your MCP config (see claude_desktop_config.json snippet above).
Common use cases
- •Read, search, and edit files across local or remote storage
- •Convert between file formats (markdown, PDF, docx, and similar)
- •Drive bulk renames, organization, or archival from a chat session
More Python MCP servers
microsoft/markitdown
🎖️ 🐍 🏠 - MCP tool access to MarkItDown -- a library that converts many file formats (local or remote) to Markdown for LLM consumption.
mindsdb/mindsdb
Connect and unify data across various platforms and databases with .
eyaltoledano/claude-task-master
📇 ☁️ 🏠 - AI-powered task management system for AI-driven development. Features PRD parsing, task expansion, multi-provider support (Claude, OpenAI, Gemini, Perplexity, xAI), and selective tool loadi
FastMCP
🐍 - A high-level framework for building MCP servers in Python