# Tenzir

> Use this tool when you need to integrate AI assistants with Tenzir data pipelines for cybersecurity and data analysis workflows. It provides access to OCSF schema information and enables execution of data processing pipelines through the Model Context Protocol. Ideal for security analysts, threat hunters, and data engineers working with structured security data formats, Tenzir MCP server accepts queries and pipeline definitions as input and outputs processed data and schema information.

Canonical page: https://skillsregistry.net/skills/tenzir  
JSON: https://api.skillsregistry.net/v1/skills/tenzir

## Description

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.

## Trust

- **Trust score (0–1):** 0.98
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** devops-ci
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/tenzir)
- **Repository:** <https://github.com/tenzir/mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "tenzir"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/tenzir` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/tenzir/pull`

---
SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt