Generate a new AutoGen agent with a unique name, type, system message, and LLM configuration to enable collaborative multi-agent conversations through the AutoGen MCP Server.
Remove GraphRAG data from Paperlib MCP to manage storage and refresh knowledge graphs. Delete data for specific documents or perform complete cleanup when needed.
Execute read-only Cypher queries on Neo4j databases to retrieve data for GraphRAG applications, supporting semantic search and complex graph traversals.
Verify GraphRAG layer health by checking required tables and indexes exist, returning status and optional row counts for Paperlib MCP's knowledge graph.
Search Neo4j fulltext indexes using Lucene query syntax to retrieve relevant nodes and relationships with properties and relevance scores for GraphRAG applications.
Enables AI-powered medical information retrieval through FHIR clinical document search and GraphRAG-based exploration of medical entities and relationships. Combines vector search with knowledge graph queries for comprehensive healthcare data analysis.
An MCP server that enables LLMs to perform semantic and fulltext searches within Neo4j while executing complex, search-augmented Cypher queries for GraphRAG applications. It provides tools for database schema discovery and supports multi-provider embeddings to facilitate advanced graph traversals.
Enables AI agents to query a local knowledge graph built from document collections using hybrid search (BM25 + vector fusion) and entity-relationship extraction. Supports privacy-first, offline operation with tools for semantic search, entity graph exploration, and corpus statistics.