LLM Wrapper MCP Server

what is LLM Wrapper MCP Server?

LLM Wrapper MCP Server is a server wrapper that allows any Model Context Protocol (MCP)-capable Large Language Model (LLM) agent to communicate with or delegate tasks to other LLMs available through the OpenRouter.ai API.

how to use LLM Wrapper MCP Server?

To use the LLM Wrapper MCP Server, install it via pip, configure your environment with the OpenRouter API key, and run the server using command-line options to specify the model and other parameters.

key features of LLM Wrapper MCP Server?

• Implements the MCP specification for standardized LLM interactions.
• Provides an STDIO-based server for handling LLM requests and responses.
• Supports tool calls and results through the MCP protocol.
• Configurable to use various LLM providers via API base URL and model parameters.
• Integrates with llm-accounting for logging and auditing functionalities.

use cases of LLM Wrapper MCP Server?

1. Integrating LLM capabilities into applications.
2. Facilitating communication between different LLMs.
3. Monitoring and auditing LLM usage and costs.

FAQ from LLM Wrapper MCP Server?

• How do I install the LLM Wrapper MCP Server?

You can install it using pip: pip install llm-wrapper-mcp-server.

• What is the default configuration for the server?

The server is configured to use OpenRouter by default, and you can specify the model and API base URL via command-line arguments.

• Can I use my own LLM models?

Yes! The server is designed to be extensible and can be configured to use various LLM providers.