LLM Gateway MCP Server
by MCP-Mirror
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.
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What is LLM Gateway MCP Server?
LLM Gateway is an MCP-native server designed for intelligent task delegation from high-capability AI agents (like Claude 3.7) to more cost-effective LLMs (like Gemini Flash). It offers a unified interface to various LLM providers, optimizing for cost, performance, and output quality.
How to use LLM Gateway MCP Server?
To use LLM Gateway, install the server, configure your API keys and server settings via environment variables, and run the server. AI agents can then interact with the server using MCP tools to delegate tasks such as document summarization, entity extraction, and more. The README provides detailed installation and usage examples.
Key features of LLM Gateway MCP Server
MCP Protocol Integration
Intelligent Task Delegation
Advanced Caching
Document Tools
Structured Data Extraction
Tournament Mode
Advanced Vector Operations
Provider Abstraction
Use cases of LLM Gateway MCP Server
AI-to-AI Task Delegation
Cost Optimization for LLM Usage
Provider Abstraction to Avoid Lock-in
Document Processing at Scale
Model Benchmarking and Selection
Enterprise Document Processing
Research and Analysis
FAQ from LLM Gateway MCP Server
What is the primary use case for LLM Gateway?
What is the primary use case for LLM Gateway?
The primary use case is enabling advanced AI agents to delegate routine tasks to cheaper models, saving on API costs while maintaining output quality.
What providers are supported by LLM Gateway?
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.
How does LLM Gateway optimize costs?
How does LLM Gateway optimize costs?
It optimizes costs by routing tasks to cheaper models, implementing advanced caching, tracking costs across providers, and enabling cost-aware task routing decisions.
What is MCP and why is it important for LLM Gateway?
What is MCP and why is it important for LLM Gateway?
MCP stands for Model Context Protocol. LLM Gateway is built natively on MCP, allowing seamless integration with AI agents like Claude for AI-to-AI delegation.
What are some document processing features offered by LLM Gateway?
What are some document processing features offered by LLM Gateway?
LLM Gateway offers smart document chunking, summarization, entity extraction, question-answer pair generation, and batch processing.