ZeroEntropy Zerank MCP Server

A Model Context Protocol (MCP) server for document reranking using the ZeroEntropy Zerank API, now implemented in Node.js.

Features

Document reranking using the ZeroEntropy Zerank API
Input validation with Zod schemas
Support for both standalone Node.js server and Cloudflare Workers deployment
MCP protocol compliance for integration with AI assistants

Installation

npm install

Usage

Standalone Node.js Server

Run the MCP server using stdio transport:

npm start

Or for development with auto-reload:

npm run dev

Cloudflare Workers Deployment

Install Wrangler CLI:

npm install -g wrangler

wrangler login

Deploy the worker:

wrangler deploy

API

The server provides one tool:

`get_reranking`

Reranks a list of documents based on relevance to a query.

Parameters:

query (string): The search query (1-10000 characters)
documents (array): Array of documents to rerank (1-1000 items)
api_key (string): ZeroEntropy API key

Returns:

results (array): Array of reranked results with index and relevance_score

Example:

{
  "query": "machine learning algorithms",
  "documents": [
    "Neural networks are a type of machine learning model",
    "Cooking recipes for pasta dishes",
    "Supervised learning techniques in AI"
  ],
  "api_key": "your-api-key"
}

Environment

Node.js 18.0.0 or higher
ZeroEntropy API access

License

MIT

Install Server

HTTP connection URL

security – no known vulnerabilities

license - not found

quality - confirmed to work

How are these scores calculated?

hybrid server

The server is able to function both locally and remotely, depending on the configuration or use case.

Tools

get_reranking

Provides document reranking capabilities via the ZeroEntropy Zerank API, allowing AI assistants to sort documents by relevance to a user query through the Model Context Protocol.

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