Dicklesworthstone_llm_gateway_mcp_server

Dicklesworthstone_llm_gateway_mcp_server

3.2

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LLM Gateway MCP Server is a Model Context Protocol server that enables intelligent task delegation from advanced AI agents to cost-effective LLMs.

LLM Gateway is an MCP-native server that enables intelligent task delegation from advanced AI agents like Claude 3.7 Sonnet to more cost-effective models like Gemini Flash 2.0 Lite. It provides a unified interface to multiple Large Language Model (LLM) providers while optimizing for cost, performance, and quality. The server is built on the Model Context Protocol (MCP), making it specifically designed to work with AI agents like Claude. All functionality is exposed through MCP tools that can be directly called by these agents, creating a seamless workflow for AI-to-AI delegation. The primary design goal of LLM Gateway is to allow sophisticated AI agents to intelligently delegate tasks to less expensive models, achieving near-top-tier performance at a fraction of the cost.

Features

  • MCP Protocol Integration: Native MCP Server with standardized MCP tools for AI agent integration.
  • Intelligent Task Delegation: Task routing, provider selection, and cost-performance balancing for optimal task delegation.
  • Advanced Caching: Multi-level caching strategies with persistent cache and analytics.
  • Document Tools: Smart chunking, summarization, entity extraction, and batch processing capabilities.
  • Structured Data Extraction: JSON extraction with schema validation, table extraction, and semantic schema inference.

Tools

  1. Completion

    Provides text completion from chosen providers.

  2. Summarize Document

    Summarizes text using cost-effective models.

  3. Extract Entities

    Extracts specific types of entities from text.

  4. Execute Optimized Workflow

    Runs multi-step workflows with optimized model selection.

  5. List Tools

    Dynamically discovers available tools on the gateway.