Tenzir MCP Server
OfficialThe Tenzir MCP Server enables AI assistants to interact with Tenzir's data pipeline engine for security operations, providing tools across several areas:
Pipeline Execution: Run TQL (Tenzir Query Language) pipelines inline or from files, with configurable timeouts and detailed diagnostics for debugging
Test Execution: Run and debug TQL pipeline tests using the tenzir-test framework, update baselines, and run integration tests with fixtures
Documentation Access: Search embedded Tenzir documentation by keyword or category (tutorials, guides, references), read specific pages for operators and functions, and traverse cross-references up to 3 levels deep
OCSF Integration: List available OCSF schema versions, browse event classes and objects, and retrieve complete schema definitions for mapping security logs
Package Management: Scaffold new packages with standard structure, add user-defined operators (UDOs) with namespace support, add tests with input/output pairs, and add changelog entries by type (breaking, feature, bugfix, change)
Code Generation: Auto-generate TQL parsers from sample log events (JSON, CSV, syslog, key-value) and automatically create OCSF mapping packages to normalize security data to appropriate event classes and fields
Provides Docker-based deployment and execution of the Tenzir MCP server, enabling containerized operation of data pipeline tools for security operations.
Integrates with GitHub for package development workflows, including changelog attribution using GitHub handles and repository-based collaboration on Tenzir packages.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Tenzir MCP Servershow me recent OCSF security events from our firewall logs"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
⚙️ Tenzir MCP Server
A Model Context Protocol (MCP) server that enables AI assistants to interact with Tenzir—a data pipeline engine for security operations.
This MCP server is not actively maintained right now.tenzir/skills is superseding it and is
where new work is happening.
This MCP server provides tools for executing pipelines written in the Tenzir Query Language (TQL)), working with Open Cybersecurity Schema Framework (OCSF), managing packages, generating parsers, and exploring documentation.
✨ Features
Pipeline Execution: Run TQL pipelines and tests
Documentation Access: Search and browse embedded Tenzir documentation with cross-reference support
OCSF Integration: Query and work with OCSF definitions, event classes, objects, and profiles.
Package Management: Create and manage Tenzir packages with operators, pipelines, enrichment contexts, and tests
Code Generation: Auto-generate TQL parsers and OCSF mapping packages
Related MCP server: HydraΜCP
📦 Installation
Use Docker as the fastest way to get started:
docker run -i tenzir/mcpOr use uvx when you have a local Tenzir
installation:
uvx tenzir-mcp📚 Documentation
Consult our setup guide for installation and MCP client configuration.
We also provide a reference that explains usage and available tools.
🤝 Contributing
Want to contribute? We're all-in on agentic coding with Claude Code! The repo comes pre-configured with our custom plugins—just clone and start hacking.
📜 License
This project is licensed under the Apache License 2.0.
Resources
Unclaimed servers have limited discoverability.
Looking for Admin?
If you are the server author, to access and configure the admin panel.
Appeared in Searches
Latest Blog Posts
MCP directory API
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/tenzir/mcp'
If you have feedback or need assistance with the MCP directory API, please join our Discord server