Essex MCP Server

Welcome to Essex MCP Server - a powerful Model Context Protocol server that combines knowledge management with prompt optimization.

Features

🧠 Knowledge Management

  • Search Documents: Intelligent search through your knowledge base with relevance scoring
  • Store & Retrieve: Support for PDF and Markdown documents
  • Context-Aware: Extract snippets with surrounding context for better understanding
  • Persistent Storage: Cloud-based storage using Cloudflare KV

✨ Prompt Optimization

  • Claude AI Integration: Leverage Claude's capabilities to optimize prompts
  • Token Efficiency: Reduce token usage while maintaining clarity
  • Context Enhancement: Add helpful metadata where needed
  • Professional Results: Get well-formatted, clear prompts

Available MCP Tools

  • search_knowledge - Search through the knowledge base with optional file type filtering
  • get_document - Retrieve the full content of a specific document
  • list_documents - List all available documents in the knowledge base
  • upload_document - Upload new documents to the knowledge base
  • optimize_prompt - Optimize text prompts for better LLM performance

Getting Started

Essex MCP Server is designed to work seamlessly with any MCP-compatible client. Simply connect to the /sse endpoint and authorize access to start using the powerful knowledge management and prompt optimization features.

Use Cases

  • Research & Documentation: Store and search through technical documentation, research papers, and notes
  • Prompt Engineering: Optimize prompts for various LLM tasks
  • Knowledge Base Management: Build and maintain a searchable repository of information
  • Team Collaboration: Share knowledge across your organization

Technical Details

  • Built on Cloudflare Workers for global edge deployment
  • Uses Durable Objects for stateful connections
  • Integrates with Claude AI for advanced capabilities
  • Supports OAuth 2.0 for secure authorization

Essex MCP Server - Empowering your AI workflows with intelligent knowledge management