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Hypernym MCP Server

by bmorphism

A Model Context Protocol (MCP) server providing semantic text analysis and compression tools via Hypernym AI's API. This server allows LLMs to access Hypernym's semantic categorization and compression capabilities through standardized MCP interfaces.

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What is Hypernym MCP Server?

The Hypernym MCP Server is an implementation of the Model Context Protocol that provides semantic text analysis and compression tools. It allows Large Language Models (LLMs) to access Hypernym AI's capabilities through standardized MCP interfaces, enabling semantic categorization, adaptive compression, similarity scoring, and key detail extraction.

How to use Hypernym MCP Server?

To use the server, clone the repository, install dependencies, configure the .env file with your Hypernym API key and URL, build the project, and start the server in either HTTP/HTTPS mode or stdio transport mode. You can then interact with the server through MCP-compatible AI platforms or directly via HTTP endpoints using JSON-RPC 2.0.

Key features of Hypernym MCP Server

  • Implements the Model Context Protocol (MCP) specification

  • Provides MCP tools for text analysis and semantic compression

  • Supports both standard MCP CLI interface through stdio transport

  • Offers HTTP/HTTPS JSON-RPC 2.0 endpoints via Express

  • Includes retry logic with exponential backoff for API requests

  • HTTPS support for secure connections

Use cases of Hypernym MCP Server

  • Integrating Hypernym's semantic analysis into AI models

  • Compressing text while preserving meaning for efficient context management

  • Categorizing text for improved information retrieval

  • Extracting key details from complex text for summarization and analysis

FAQ from Hypernym MCP Server

What is Hypernym AI?

Hypernym AI offers advanced semantic analysis tools that categorize text, generate adaptive compression, provide similarity scoring, and extract key details from complex text.

How do I get an API key?

Sign up for the API waitlist at the provided link in the documentation.

What is the Model Context Protocol (MCP)?

MCP is a specification that standardizes how AI models access external tools and services.

How do I set up HTTPS?

You can generate self-signed certificates or provide your own certificates and update the paths in the .env file.

What HTTP endpoints are available?

The server exposes POST / (MCP JSON-RPC 2.0), POST /analyze_sync (Direct Hypernym API passthrough), and GET /health (Health check).