FalkorDB MCP Server provides a bridge between AI models and FalkorDB graph databases, enabling natural language querying of graph data. Built with TypeScript and Express, it implements the Model Context Protocol to translate requests into FalkorDB queries and format responses according to MCP standards. The server features authentication via API keys, connection management for multiple FalkorDB instances, and endpoints for executing queries, retrieving metadata, and listing available graphs. It's particularly valuable for AI applications that need to analyze relationships in graph data, such as knowledge graphs, recommendation systems, or network analysis.
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Highlight AIQuery the graph database. Supports an optional 'readOnly' parameter to execute in read-only mode using 'GRAPH.RO_QUERY'. Accepts a 'params' object for parameterized queries.
Execute a query on the graph database in read-only mode. This tool always uses 'GRAPH.RO_QUERY'.
Create a new node in the graph. Example usage includes creating a new person with specified properties.
Establish a relationship between two existing nodes in the graph. For instance, adding a 'WORKS_AT' relationship between a person and a company.
Retrieve a list of all available graphs in the database.
Get the schema of a specified graph, including node labels, relationship types, and optional connection topology.
Sample and retrieve the schema for a specific node label, showing property keys ranked by frequency.
Sample and retrieve the schema for a specific relationship type, showing property keys ranked by frequency.
Delete a specified graph from the database.
