mcpField
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LiteLLM Multi-Model API

LiteLLM Multi-Model API

Local
github.com/BerriAIAI & Agents
Repository

About LiteLLM Multi-Model API

Access 100+ LLMs with one API: GPT-4, Claude, Gemini, Mistral and more

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

mcp.json · Universal config
{
  "mcpServers": {
    "berriai-litellm": {
      "command": "uvx",
      "args": [
        "litellm-mcp"
      ],
      "env": {
        "OPENAI_API_KEY": "<OPENAI_API_KEY>",
        "ANTHROPIC_API_KEY": "<ANTHROPIC_API_KEY>",
        "LITELLM_API_BASE": "<LITELLM_API_BASE>",
        "LITELLM_API_KEY": "<LITELLM_API_KEY>"
      }
    }
  }
}
Run commanduvx litellm-mcp
Environment variables to set
OPENAI_API_KEYSecretOpenAI API key for GPT models
ANTHROPIC_API_KEYSecretAnthropic API key for Claude models
LITELLM_API_BASELiteLLM Proxy base URL (optional)
LITELLM_API_KEYSecretLiteLLM Proxy API key (optional)

Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.

Packages
pypilitellm-mcp1.0.2

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

The maintainer has not added details yet. Check the README in the repository.

Comments

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New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.