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 AIExecute a graph query using OpenCypher. Parameters: query (string), readOnly (optional boolean), params (optional object) for parameterized queries.
Execute a graph query in read-only mode using OpenCypher. Parameters: query (string), params (optional object) for parameterized queries.
Create a new node in the graph. Parameters: label (string), properties (optional object) representing the node's attributes.
Create a relationship between two nodes. Parameters: sourceId (string), targetId (string), relationshipType (string), properties (optional object) representing relationship attributes.
Retrieve a list of all available graphs in the database.
Get the schema of a specified graph, including node labels and relationship types. Parameters: graphName (string), includeConnections (optional boolean) to include connection topology.
Retrieve the schema for a specified node label, including property keys and their frequency. Parameters: label (string), sampleSize (optional integer) to limit the number of nodes sampled.
Retrieve the schema for a specified relationship type, including property keys and their frequency. Parameters: relationshipType (string), sampleSize (optional integer) to limit the number of relationships sampled.
Delete a specified graph from the database. Parameters: graphName (string) to identify the graph to be deleted.
