MCP Reranker

v1.0.0Data Science & MLstable

A generic Model Context Protocol (MCP) server for high-accuracy document reranking using sentence-transformers (Cross-Encoder). Ideal for enhancing RAG and AI agent decision-making. sentence-transformers (Cross-Encoder) を使用して文書の関連度を再計算・ソートする汎用 MCP (M

mcp-rerankermcpai-integration
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What is MCP Reranker?

MCP Reranker is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to generic model context protocol (mcp) server for high-accuracy document reranking using sentence-transformers (cross-encoder). ideal for enhancing rag and ai agent decision-making. sentence-transformer...

A generic Model Context Protocol (MCP) server for high-accuracy document reranking using sentence-transformers (Cross-Encoder). Ideal for enhancing RAG and AI agent decision-making. sentence-transformers (Cross-Encoder) を使用して文書の関連度を再計算・ソートする汎用 MCP (M

This server falls under the Data Science & ML category on MCPgee, the world's largest MCP server directory with 33,000+ servers.

Features

  • A generic Model Context Protocol (MCP) server for high-accur

Use Cases

Document reranking for RAG
High-accuracy relevance scoring
globalpocket

Maintainer

LicenseApache 2.0
Languagetypescript
Versionv1.0.0
UpdatedN/A
Statushealthy
Maintenanceactive

Works with

ClaudeOpenAIwindowsmacoslinux

Installation

Manual Installation

npx mcp-reranker

Configuration

Configuration Details

Config File

claude_desktop_config.json

Performance

Response Metrics

Response Time< 200ms
ThroughputMedium

Resource Usage

Memory UsageLow
CPU UsageLow

Frequently Asked Questions about MCP Reranker

What is MCP Reranker?

MCP Reranker is a Model Context Protocol (MCP) server that generic model context protocol (mcp) server for high-accuracy document reranking using sentence-transformers (cross-encoder). ideal for enhancing rag and ai agent decision-making. sentence-transformers (cross-encoder) を使用して文書の関連度を再計算・ソートする汎用 mcp (m It connects AI assistants to external tools and data sources through a standardized interface.

How do I install MCP Reranker?

Follow the installation instructions on the MCP Reranker GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.

Which AI clients work with MCP Reranker?

MCP Reranker works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.

Is MCP Reranker free to use?

Yes, MCP Reranker is open source and available under the Apache 2.0 license. You can use it freely in both personal and commercial projects.

Browse More Data Science & ML MCP Servers

Explore all data science & ml servers available in the MCPgee directory. Each server includes setup guides for Claude, Cursor, and VS Code.

Quick Config Preview

{ "mcpServers": { "mcp-reranker": { "command": "npx", "args": ["-y", "mcp-reranker"] } } }

Add this to your claude_desktop_config.json or .cursor/mcp.json

Read the full setup guide →

Ready to use MCP Reranker?

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