LiteLLM
Access 100+ LLMs with one API: GPT-4, Claude, Gemini, Mistral, and more.
What is LiteLLM?
LiteLLM is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to access 100+ llms with one api: gpt-4, claude, gemini, mistral, and more.
Access 100+ LLMs with one API: GPT-4, Claude, Gemini, Mistral, and more.
This server falls under the Coding Agents category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- Access 100+ LLMs with one API: GPT-4, Claude, Gemini, Mistra
Use Cases
Maintainer
Works with
Installation
PIP
pip install litellm-mcpManual Installation
pip install litellm-mcpConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
Frequently Asked Questions about LiteLLM
What is LiteLLM?
LiteLLM is a Model Context Protocol (MCP) server that access 100+ llms with one api: gpt-4, claude, gemini, mistral, and more. It connects AI assistants to external tools and data sources through a standardized interface.
How do I install LiteLLM?
Install via pip with: pip install litellm-mcp. Then configure your AI client to connect to this MCP server.
Which AI clients work with LiteLLM?
LiteLLM works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is LiteLLM free to use?
Yes, LiteLLM is open source and available under the MIT license. You can use it freely in both personal and commercial projects.
LiteLLM Alternatives — Similar Coding Agents Servers
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Goose
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Browse More Coding Agents MCP Servers
Explore all coding agents servers available in the MCPgee directory. Each server includes setup guides for Claude, Cursor, and VS Code.
Set Up LiteLLM in Your Editor
Choose your AI client for step-by-step setup instructions.
Quick Config Preview
Add this to your claude_desktop_config.json or .cursor/mcp.json
Ready to use LiteLLM?
Browse our complete directory of 33,000+ MCP servers, read setup guides for your editor, and start building with the Model Context Protocol.