What is it?
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.
How to use it?
Deploy the MCP worker to Cloudflare Workers, then configure it as an MCP server:
- Index documents - Upload and vectorize your content for semantic search
- Search - Query your indexed content using natural language
- 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.
Key Features
- 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
Related Skills
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Download Vectorize MCP Worker
Vectorize MCP Worker is free and open source. Download it from the official source repository — clone it with git or use GitHub's Download ZIP option on the repo page — then copy the skill folder into your project's .claude/skills/ directory to install it.
If you are an AI agent
Query this directory over HTTP
This site is a searchable directory of harness components for AI coding agents. Fetch objective JSON — names, descriptions, stars, and source links. Installation and selection are yours to decide.
GET https://claudeskills.info/api/v1/search?q=ui%2Fux
GET https://claudeskills.info/api/v1/search?type=subagent&q=review
GET https://claudeskills.info/api/v1/meta
See https://claudeskills.info/llms.txt