TigerGraph MCP Server:

Main Features Include:

• Schema Introspection
  Retrieve full graph schema (vertex & edge types).

• Query View Retrieve list of available queires that your able to run

• Query Execution
  Run installed GSQL queries or raw GSQL strings with parameters.

• Creation Vertex & Edge Create Vertices and Edges programmatically

• Alter Vertex Allows for altering the Vertex to include support for Vector attributes

• Upsert Vertex & Edge
  Update vertices and edges attributes programmatically (this includes Vector attributes).

• UDF Listing
  Fetch installed user-defined functions

Admin Features

To execute the Admin Features, your database user will need to have the database role of ‘superuser’. None of the tools will show up in the /tools list if the user isn’t assigned the ‘superuser’ role.

• displayService_Status
  This tool displays the database service status, show which services are on-line

• displayDetailed_Service_Status
  This tool provides all the detail that tool displayService_Status with additional information about the Graph to include vertices, edges, and installed queries

• displayComponent_Version
  This tool will display all the versions of the components that make up TigerGraph Server

• displayCPUMemory_Usage
  This tool will display both the CPU and Memory Usage of all the components that make up the TigerGraph Server

• displayDiskSpace_Usage
  This tool will display all the Disk Usage of the different components that make up the TigerGraph database server.

Bonus Power Feature

We are including a mcp_chatbot that allow you “chat” with the database. You will need to configure two files.

1. 1. First, you will need to configure the mcp_server/.env file with the LLM you want to use (default is Anthropic LLM model)
   2. Second, you will need to configure the server_config.json file, under mcp_server/mcp_chatbot folder, specifying the full path to the main.py file.