# Tenzir MCP Server

> Use this tool when you need to integrate AI assistants with a data pipeline engine for security operations, enabling execution of pipeline queries and management of schemas. It solves problems related to automating security data processing and analysis, providing inputs such as pipeline queries and OCSF schemas, and outputs like generated parsers. This tool is ideal for use cases that require seamless interaction between AI systems and security data pipelines.

Canonical page: https://skillsregistry.net/skills/fastmcp-me-mcp-tenzir  
JSON: https://api.skillsregistry.net/v1/skills/fastmcp-me-mcp-tenzir

## Description

An MCP server that enables AI assistants to interact with Tenzir, a data pipeline engine for security operations, including executing pipeline queries, managing OCSF schemas, and generating parsers.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** devops-ci
- **Updated:** 2026-06-12

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/lbi8er1mvs)
- **Repository:** <https://github.com/fastmcp-me/mcp-tenzir>

## 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": "fastmcp-me-mcp-tenzir"
    }
  }
}
```

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

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