LLM Bridge MCP — AI skill for Claude Code

LLM Bridge MCP

[](https://smithery.ai/server/@sjquant/llm-bridge-mcp)

LLM Bridge MCP allows AI agents to interact with multiple large language models through a standardized interface. It leverages the Message Control Protocol (MCP) to provide seamless access to different LLM providers, making it easy to switch between models or use multiple models in the same application.

Features

• Unified interface to multiple LLM providers:
  • OpenAI (GPT models)
  • Anthropic (Claude models)
  • Google (Gemini models)
  • DeepSeek
  • ...
• Built with Pydantic AI for type safety and validation
• Supports customizable parameters like temperature and max tokens
• Provides usage tracking and metrics

Tools

The server implements the following tool:

run_llm(
    prompt: str,
    model_name: KnownModelName = "openai:gpt-4o-mini",
    temperature: float = 0.7,
    max_tokens: int = 8192,
    system_prompt: str = "",
) -> LLMResponse

• prompt: The text prompt to send to the LLM
• model_name: Specific model to use (default: "openai:gpt-4o-mini")
• temperature: Controls randomness (0.0 to 1.0)
• max_tokens: Maximum number of tokens to generate
• system_prompt: Optional system prompt to guide the model's behavior

Installation

Installing via Smithery

To install llm-bridge-mcp for Claude Desktop automatically via [Smithery](https://smithery.ai/server/@sjquant/llm-bridge-mcp):

npx -y @smithery/cli install @sjquant/llm-bridge-mcp --client claude

Manual Installation

1. Clone the repository:

git clone https://github.com/yourusername/llm-bridge-mcp.git
cd llm-bridge-mcp

1. Install uv (if not already installed):

# On m