LLM Bridge MCP
by sjquant
LLM Bridge MCP provides a unified interface for AI agents to interact with multiple large language models. It simplifies switching between LLMs or using them together within the same application.
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What is LLM Bridge MCP?
LLM Bridge MCP is a server that allows AI agents to interact with multiple large language models (LLMs) through a standardized interface using the Message Control Protocol (MCP). It supports various LLM providers like OpenAI, Anthropic, Google, and DeepSeek.
How to use LLM Bridge MCP?
To use LLM Bridge MCP, you can install it via Smithery or manually. After installation, configure your API keys in a .env file. Then, add a server entry to your Claude Desktop or Cursor configuration file, specifying the command to run the server and the environment variables for your API keys.
Key features of LLM Bridge MCP
Unified interface to multiple LLM providers
Built with Pydantic AI for type safety and validation
Supports customizable parameters like temperature and max tokens
Provides usage tracking and metrics
Use cases of LLM Bridge MCP
Building AI agents that can choose the best LLM for a given task
Creating applications that can seamlessly switch between LLMs
Developing LLM-powered tools that can be used with different LLM providers
Experimenting with different LLMs to find the best one for your needs
FAQ from LLM Bridge MCP
What LLM providers are supported?
What LLM providers are supported?
The server supports OpenAI (GPT models), Anthropic (Claude models), Google (Gemini models), and DeepSeek.
What is the default model used by the run_llm tool?
What is the default model used by the run_llm tool?
The default model is openai:gpt-4o-mini.
How do I handle the 'spawn uvx ENOENT' error?
How do I handle the 'spawn uvx ENOENT' error?
This error occurs when the system cannot find the uvx executable. To resolve it, use the full path to the uvx executable in your MCP server configuration.
How do I configure the server?
How do I configure the server?
Create a .env file in the root directory with your API keys for the supported LLM providers.
Where can I find the full path to uvx?
Where can I find the full path to uvx?
On macOS/Linux, use which uvx. On Windows, use where.exe uvx.