Find entities and relations by keyword or semantic similarity using hybrid search. Specify query, mode, and threshold to retrieve relevant results from the Memento MCP server.
Search the R2R knowledge base using semantic, hybrid, or graph methods to find relevant documents and information for development, research, or debugging tasks.
Search the R2R knowledge base using semantic, hybrid, graph, or web search methods. Configure parameters manually or use presets for development, research, debugging, and production scenarios to find relevant documents and information.
Search enterprise knowledge bases using hybrid, semantic, or keyword methods to find product information, FAQs, policies, tutorials, and troubleshooting guides.
A Python MCP server that enables semantic search through Search Labs blog posts indexed in Elasticsearch, allowing Claude to intelligently retrieve relevant information from the blog content.
An unofficial MCP server that provides semantic search capabilities for Hugging Face models and datasets, enabling Claude and other MCP-compatible clients to search, discover, and explore the Hugging Face ecosystem using natural language queries.