LLM Gateway MCP Server logo

LLM Gateway MCP Server

by Dicklesworthstone

LLM Gateway is an MCP-native server that enables intelligent task delegation from advanced AI agents to more cost-effective models. It provides a unified interface to multiple Large Language Model (LLM) providers while optimizing for cost, performance, and quality.

View on GitHub

Last updated: N/A

What is LLM Gateway MCP Server?

LLM Gateway is an MCP-native server designed for intelligent task delegation from high-capability AI agents to cost-effective LLMs. It provides a unified interface to multiple LLM providers, optimizing for cost, performance, and quality by enabling AI-driven resource optimization.

How to use LLM Gateway MCP Server?

To use LLM Gateway, first install it using the provided instructions, configure your API keys in a .env file, and then run the server using the command-line interface. AI agents like Claude can then connect to the server via the Model Context Protocol (MCP) and invoke its tools to delegate tasks such as document summarization, entity extraction, and more. The server intelligently routes these tasks to appropriate models based on cost, performance, and quality considerations.

Key features of LLM Gateway MCP Server

  • MCP Protocol Integration

  • Intelligent Task Delegation

  • Advanced Caching

  • Document Tools

  • Secure Filesystem Operations

  • Browser Automation with Playwright

  • Structured Data Extraction

  • Tournament Mode

  • Advanced Vector Operations

  • Retrieval-Augmented Generation (RAG)

  • Local Text Processing

  • OCR Tools

Use cases of LLM Gateway MCP Server

  • AI-to-AI Task Delegation

  • Cost Optimization

  • Provider Abstraction

  • Document Processing at Scale

  • AI Agent Orchestration

  • Enterprise Document Processing

  • Research and Analysis

  • Model Benchmarking and Selection

FAQ from LLM Gateway MCP Server

What is the Model Context Protocol (MCP)?

MCP is a protocol designed for AI agents to communicate and delegate tasks to other services, enabling seamless AI-to-AI interaction.

How does LLM Gateway optimize costs?

LLM Gateway optimizes costs by routing tasks to cheaper models, implementing advanced caching, tracking costs across providers, and enabling cost-aware task routing decisions.

What providers are supported by LLM Gateway?

LLM Gateway supports OpenAI, Anthropic (Claude), Google (Gemini), and DeepSeek, with an extensible architecture for adding new providers.

What kind of tasks can be delegated to LLM Gateway?

Tasks such as document summarization, entity extraction, question generation, code generation, and more can be delegated to LLM Gateway.

How secure is LLM Gateway?

LLM Gateway includes security features like path validation, symlink security verification, and configurable allowed directories for secure filesystem operations. It is also recommended to use a reverse proxy for HTTPS/SSL termination and access control.