Tenzir
Integrates with Tenzir data pipelines and OCSF schema framework to execute cybersecurity data processing workflows and retrieve st
Tenzir MCP server that provides integration with Tenzir data pipelines through the Model Context Protocol, built using FastMCP and Python. The implementation enables AI assistants to execute Tenzir data processing pipelines and access OCSF (Open Cybersecurity Schema Framework) schema information, including retrieving available OCSF versions, event classes, class definitions, and object schemas. Designed for cybersecurity and data analysis workflows where AI assistants need to work with structured security data formats and execute data transformation pipelines through Tenzir's query language, making it valuable for security analysts, threat hunters, and data engineers working with cybersecurity datasets.
Source
Repository: https://github.com/tenzir/mcp
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