rinadelph/Agent-MCP
NOASSERTIONAPI key required🐍 🏠 - A framework for creating multi-agent systems using MCP for coordinated AI collaboration, featuring task management, shared context, and RAG capabilities.
Install
npx -y rinadelph-agent-mcpRequired environment variables
OPENAI_API_KEYSet in your MCP configclaude_desktop_config.json
{
"mcpServers": {
"rinadelph-agent-mcp": {
"command": "npx",
"args": [
"-y",
"rinadelph-agent-mcp"
],
"env": {
"OPENAI_API_KEY": "<YOUR_OPENAI_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
rinadelph/Agent-MCP 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:
OPENAI_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 TypeScript MCP servers
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.
microsoft/playwright-mcp
Official Microsoft Playwright MCP server, enabling LLMs to interact with web pages through structured accessibility snapshots
agent-infra/mcp-server-browser
📇 🏠 - Browser automation capabilities using Puppeteer, both support local and remote browser connection.