The Excellence
Directory Platform Template

Commercial MCP server designed for semantic search and retrieval-augmented generation (RAG). Enables real-time, relevance-ranked context delivery to LLMs using custom and domain-specific embeddings. Supports multi-language queries and is API-first.

RAG MCP for your Agentset data. Enables AI assistants to use retrieval augmented generation with Agentset data.

MCP server for semantic data search enabling embedding processing, similarity matching, and data partitioning. Setup involves environment variables, embedding model, and collection creation, with integration support for various embedding models.

MCP server for enterprise search and RAG enhancement using Amazon Kendra.

MCP server for CustomGPT.ai's anti-hallucination RAG-as-a-service API endpoints.

Add RAG-powered AI chat to any website with one command. Local vector store, multi-provider LLM support, self-contained chat server and embeddable widget.

MCP server for Vectara's trusted RAG-as-a-service platform.

Academic Paper Search MCP Server for Claude Desktop integration that allows Claude to access data from Semantic Scholar and Crossref, enabling comprehensive academic literature discovery.

CMR Model Context Protocol example, providing AI assistant integration with NASA's Common Metadata Repository for Earth science data searching and retrieval.

MCP Discovery and Recommendation Service that helps users find the right MCP server for their specific needs, serving as a search and recommendation engine for the MCP ecosystem.

MCP server for searching Arxiv papers via the Model Context Protocol, enabling AI assistants to discover and retrieve academic papers from the arXiv repository.

MCP server to search for accurate academic articles, providing AI assistants with the ability to query scholarly databases through the Model Context Protocol.