LLM Gateway MCP Server

What is LLM Gateway MCP Server? LLM Gateway MCP Server is a Model Context Protocol (MCP) server that facilitates intelligent task delegation from advanced AI agents to more cost-effective Large Language Models (LLMs). It provides a unified interface for multiple LLM providers, optimizing for cost, performance, and quality. How to use LLM Gateway MCP Server? To use the LLM Gateway, set up the server by cloning the repository, installing dependencies, and configuring your API keys. Once running, connect to the server using an MCP client to delegate tasks from AI agents like Claude to cheaper models. Key features of LLM Gateway MCP Server? Native MCP server for seamless AI agent integration. Intelligent task delegation to optimize costs and performance. Advanced caching strategies to reduce API call redundancy. Support for multiple LLM providers with a unified API. Use cases of LLM Gateway MCP Server? AI agents delegating routine tasks to cheaper models. Efficient document processing and summarization. Research teams comparing outputs from different LLMs. FAQ from LLM Gateway MCP Server? Can LLM Gateway work with any AI agent? Yes, it is designed to integrate with any MCP-compatible AI agent. How does LLM Gateway save costs? By routing tasks to less expensive models, it can save 70-90% on API costs while maintaining output quality. Is LLM Gateway open-source? Yes, it is licensed under the MIT License and available on GitHub.

As an MCP (Model Context Protocol) server, LLM Gateway MCP Server enables AI agents to communicate effectively through standardized interfaces. The Model Context Protocol simplifies integration between different AI models and agent systems.

To use the LLM Gateway, set up the server by cloning the repository, installing dependencies, and configuring your API keys. Once running, connect to the server using an MCP client to delegate tasks from AI agents like Claude to cheaper models. Key features of LLM Gateway MCP Server? Native MCP server for seamless AI agent integration. Intelligent task delegation to optimize costs and performance. Advanced caching strategies to reduce API call redundancy. Support for multiple LLM providers with a unified API. Use cases of LLM Gateway MCP Server? AI agents delegating routine tasks to cheaper models. Efficient document processing and summarization. Research teams comparing outputs from different LLMs. FAQ from LLM Gateway MCP Server? Can LLM Gateway work with any AI agent? Yes, it is designed to integrate with any MCP-compatible AI agent. How does LLM Gateway save costs? By routing tasks to less expensive models, it can save 70-90% on API costs while maintaining output quality. Is LLM Gateway open-source? Yes, it is licensed under the MIT License and available on GitHub.

Learn how to integrate this MCP server with your AI agents and leverage the Model Context Protocol for enhanced capabilities.