Releases: custom-discoveries/TigerGraph_MCP
Release list
TigerGraph MCP version 3.1
We are pleased to announce the release of TigerGraph MCP version 3.1. This update delivers a complete overhaul of the MCP ChatBot (mcp_chatbot.py), now rebuilt on the AG2 agent framework. As part of this redesign, we resolved limitations around supporting multiple MCP servers, delivering a more robust and true MCP solution.
In moving away from LangChain to AG2, we gain a key advantage: native support for multiple LLM families without the need for conditional code to detect which LLM is in use.
TigerGraph MCP Release 3.0
We are so super excited to announce the release of TigerGraph MCP Release 3.0.
In this release we have added new Admin features that allow users with the role of 'superuse' to access some really awesome TigerGraph server stats. These include:
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 addtional 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.
Additionally, we have formalized the logging with the release of TigerGraph MCP V3.0. There is now a new mcp_logger.py logging module.
TigerGraph MCP Release 2.1
Minor bug fix to session TigerGraph_Session class, added function to check for existis of TigerGraph Secrects if a graph already exists.
TigerGraph MCP Release 2.0
Release TigerGraph_MCP V2.0 with new features that include:
- Enhanced functionality for exporting query results to CSV or JSON file formats within a designated output directory. This output directory can be configured through the mcp_server/.env file, with the default location set to ./Output.
- Added new features to Chat Bot:
- @listQueries to see available Query Output Files
- @<query_file_name> list content of Query file
Full Changelog: V1.0...v2.0