"INSPIRE" matching MCP servers:

Enables searching and retrieving high-energy physics literature, authors, institutions, and conferences from INSPIRE-HEP.

A Model Context Protocol server that enables searching for similar images by text description, integrating Inspire's backend image search capabilities with LLM interfaces like Claude Desktop.

A Python-based MCP server that enables searching for high-energy physics literature on INSPIRE-HEP by title, author, or full text. It provides optimized search results including citations, abstracts, and arXiv links while allowing filters for publication date and collaboration size.

An MCP server that integrates InspireHEP high-energy physics literature with LLMs. Search papers, explore citations, retrieve author metrics, and generate formatted references.

Monitors and analyzes GitHub repository health by detecting stale branches, old pull requests, unresponsive issues, and security alerts. Integrates with MCP-compatible AI assistants and automation tools.

Connects LLMs to the Binspire API to build autonomous AI-driven waste management agents with standardized tools and contextual data for waste management operations.