MCP Client and Servers Implementation
Config is the same across clients — only the file and path differ.
{
"mcpServers": {
"arxiv_server": {
"args": [
"mcp_servers/arxiv_server.py"
],
"command": "python",
"disabled": false,
"transport_type": "stdio"
},
"remote_tool_server": {
"url": "http://localhost:8001/mcp",
"disabled": true,
"transport_type": "sse"
}
}
}Are you the author?
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Unleash the full potential of Large Language Models (LLMs) by connecting them to a universe of external tools! This project presents a robust, multi-server client built on the Model Context Protocol (MCP), enabling your LLM to discover, understand, and invoke custom functionalities. Seamlessly integrate tools via STDIO or SSE, orchestrate complex tasks with Google's powerful Gemini models, and chat across multi-turn conversations.
No automated test available for this server. Check the GitHub README for setup instructions.
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