Which integrations are available for this server?

Allows deployment of the MCP server as a Cloudflare Worker for serverless execution Supports running as a standalone Node.js server using stdio transport Uses Zod schemas for input validation of reranking requests

How do I use ZeroEntropy Zerank MCP Server?

1. Click on "Install Server". 2. Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state. 3. In the chat, type @ followed by the MCP server name and your instructions, e.g., "@ZeroEntropy Zerank MCP Server rerank these documents for 'climate change solutions'" That's it! The server will respond to your query, and you can continue using it as needed. Here is a step-by-step guide with screenshots.

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

Related MCP server: RAG Documentation MCP Server

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

Login to Cloudflare:

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" }