Tenzir▌
by tenzir
Tenzir: Execute cybersecurity data workflows with OCSF-compatible pipelines to retrieve structured security events for e
Integrates with Tenzir data pipelines and OCSF schema framework to execute cybersecurity data processing workflows and retrieve structured security event definitions for threat hunting and security analysis.
best for
- / Security analysts processing threat data
- / SOC teams building detection pipelines
- / Cybersecurity researchers working with OCSF
- / DevSecOps engineers automating security workflows
capabilities
- / Execute TQL data pipelines
- / Query OCSF event class definitions
- / Retrieve OCSF object schemas
- / Browse Tenzir documentation
- / Generate TQL parsers automatically
- / Manage Tenzir packages
what it does
Connects to Tenzir's data pipeline engine to execute cybersecurity data processing workflows using TQL and work with OCSF security event schemas.
about
Tenzir is an official MCP server published by tenzir that provides AI assistants with tools and capabilities via the Model Context Protocol. Tenzir: Execute cybersecurity data workflows with OCSF-compatible pipelines to retrieve structured security events for e It is categorized under auth security, developer tools. This server exposes 7 tools that AI clients can invoke during conversations and coding sessions.
how to install
You can install Tenzir in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.
license
Apache-2.0
Tenzir is released under the Apache-2.0 license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
readme
Tenzir: Execute cybersecurity data workflows with OCSF-compatible pipelines to retrieve structured security events for e
TL;DR: Connects to Tenzir's data pipeline engine to execute cybersecurity data processing workflows using TQL and work with OCSF security event schemas.
What it does
- Execute TQL data pipelines
- Query OCSF event class definitions
- Retrieve OCSF object schemas
- Browse Tenzir documentation
- Generate TQL parsers automatically
- Manage Tenzir packages
Best for
- Security analysts processing threat data
- SOC teams building detection pipelines
- Cybersecurity researchers working with OCSF
- DevSecOps engineers automating security workflows
Highlights
- OCSF schema framework integration
- Auto-generates TQL parsers
- Docker deployment available
FAQ
- What is the Tenzir MCP server?
- Tenzir is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
- How do MCP servers relate to agent skills?
- Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
- How are reviews shown for Tenzir?
- This profile displays 56 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.6 out of 5—verify behavior in your own environment before production use.
Ratings
4.6★★★★★56 reviews- ★★★★★Kiara Farah· Dec 28, 2024
We wired Tenzir into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
- ★★★★★Zara Bansal· Dec 20, 2024
Useful MCP listing: Tenzir is the kind of server we cite when onboarding engineers to host + tool permissions.
- ★★★★★Aanya Perez· Dec 20, 2024
Strong directory entry: Tenzir surfaces stars and publisher context so we could sanity-check maintenance before adopting.
- ★★★★★Kabir Jackson· Dec 16, 2024
Tenzir has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
- ★★★★★Aanya Wang· Dec 8, 2024
According to our notes, Tenzir benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
- ★★★★★Jin Ghosh· Nov 23, 2024
According to our notes, Tenzir benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
- ★★★★★Hana Gill· Nov 19, 2024
We evaluated Tenzir against two servers with overlapping tools; this profile had the clearer scope statement.
- ★★★★★Aditi Sethi· Nov 15, 2024
Tenzir has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
- ★★★★★Hana Lopez· Nov 11, 2024
Strong directory entry: Tenzir surfaces stars and publisher context so we could sanity-check maintenance before adopting.
- ★★★★★Aanya Mensah· Nov 11, 2024
Useful MCP listing: Tenzir is the kind of server we cite when onboarding engineers to host + tool permissions.
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