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Vectorize MCP Worker

Edge-native MCP server patterns for production RAG

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WhatIsIt

An edge-native MCP (Model Context Protocol) server designed for production RAG (Retrieval-Augmented Generation) workloads. Built on Cloudflare Workers, it provides vector search, document indexing, and semantic retrieval capabilities at the edge. Ideal for building AI applications that need fast, scalable knowledge retrieval.

HowToUse

Deploy the MCP worker to Cloudflare Workers, then configure it as an MCP server:

  1. Index documents - Upload and vectorize your content for semantic search
  2. Search - Query your indexed content using natural language
  3. Retrieve - Get relevant context for RAG pipelines

The worker runs at the edge for low-latency responses and scales automatically with Cloudflare's infrastructure. It supports the MCP protocol for seamless integration with AI agents.

KeyFeatures

  • Edge-native deployment on Cloudflare Workers for low latency
  • Vector search and semantic document retrieval
  • MCP protocol support for AI agent integration
  • Production-ready RAG pipeline infrastructure
  • Automatic scaling via Cloudflare's global network
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License
MIT
Version
1.0.0

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Dev
Ai

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mcp
rag
dev

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