agentic-mcp-tools/owlex
MITAPI key required🐍 🏠 🍎 🪟 🐧 - AI council server: query CLI agents (Claude Code, Codex, Gemini, and OpenCode) in parallel with deliberation rounds
Install
npx -y agentic-mcp-tools-owlexRequired environment variables
OPENROUTER_API_KEYSet in your MCP configclaude_desktop_config.json
{
"mcpServers": {
"agentic-mcp-tools-owlex": {
"command": "npx",
"args": [
"-y",
"agentic-mcp-tools-owlex"
],
"env": {
"OPENROUTER_API_KEY": "<YOUR_OPENROUTER_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
agentic-mcp-tools/owlex 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 other AI providers and LLM tooling without copy-pasting context every turn.
Requirements
This server needs the following environment variables to be set before it can run:
OPENROUTER_API_KEY
Set these via the env object in your MCP config (see claude_desktop_config.json snippet above).
Common use cases
- •Delegate reasoning to a different model or LLM provider from a Claude session
- •Pull live model documentation, rate limits, or usage data into context
- •Chain Claude with another agent or evaluation pipeline
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.
netdata/netdata#Netdata
🎖️ 🏠 ☁️ 📟 🍎 🪟 🐧 - Discovery, exploration, reporting and root cause analysis using all observability data, including metrics, logs, systems, containers, processes, and network connections
upstash/context7
📇 ☁️ - Up-to-date code documentation for LLMs and AI code editors.
mindsdb/mindsdb
Connect and unify data across various platforms and databases with .