A Model Context Protocol (MCP) server that connects AI agents to Tenzir, generates data parsers, and creates OCSF mappings.
GitHub- v0.4.5
This release updates the embedded OCSF schemas and Tenzir documentation to their latest versions, ensuring AI agents have access to the most current reference material.
- v0.4.4
This release fixes broken CI/CD workflows that were preventing successful publishing to PyPI. The workflows have been refactored with reusable composite actions and proper version verification after publishing.
- v0.4.3
This patch release updates the server to use FastMCP's built-in logging infrastructure. The custom file-based logging has been removed, eliminating the creation of
tenzir-mcp.logfiles in the working directory. UseFASTMCP_LOG_LEVEL=DEBUGfor verbose output when troubleshooting. - v0.4.2
This release streamlines the prompts for the
make_parserandmake_ocsf_mappingtools, reducing model errors and speeding up agent completion. - v0.4.1
- v0.4.0