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1-Click Worker Deploy27 Stars

Vectorize Mcp Worker

Maintained by@dannwaneri

Hybrid RAG Worker on Cloudflare Edge — Vector + BM25 search, metadata filtering, multimodal vision, MCP server, and intelligent query routing. ~400ms p99.

#bm25#cloudflare-ai#cloudflare-workers#d1
Deploy to CloudflareView Source on GitHubOfficial Docs & Website

5-Factor AST Security Breakdown

Deterministic code heuristics and edge isolation analysis

Edge Runtime & Sandbox Safety20/20

Passed static AST scan: Verified absence of arbitrary remote eval, prompt injections, and unauthenticated exfiltration webhooks.

Cloudflare OS / MCP Alignment20/20

Native compatibility with Cloudflare Workers runtime, Workerd engine, or Model Context Protocol schema.

Open-Source OSI License Compliance20/20

Permissive open-source license detected (MIT, Apache 2.0, or BSD) enabling free edge execution.

Documentation & Quickstart Quality20/20

README contains comprehensive setup guides, deployment commands, and environmental configurations.

Community Trust & Release Provenance16/20

Verified repository structure with authentic commit history (8/12 community traction, 8/8 commit provenance).

Deep Static Code & Manifest Inspection

Automated AST scan of repository configuration and security vectors

Runtime Target
V8 Isolate / Workers
Sandboxed edge execution
License Verification
OSI Permissive (MIT / Apache)
Open-source commercial use
MCP Protocol Standard
Standard Edge Tool
Cursor & Claude compatible
Inspected Files
wrangler.toml, package.json, LICENSE
Repository tree scanned
Automated Code Security Checks Passed:
Zero dangerous dynamic eval() or unconstrained reflection
Zero hardcoded API secrets or production private keys found
V8 Isolate Sandboxed: Zero host OS shell escapes
Permissive open source licensing verified for production use

Integration & MCP Setup

Copy pre-formatted config snippets for your AI IDE or CLI

{
  "mcpServers": {
    "vectorize-mcp-worker": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-vectorize-mcp-worker"
      ]
    }
  }
}

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