# StreamSets MCP Server

> Use this tool when you need to manage and interact with data pipelines through conversational AI, enabling streamlined ETL workflow creation and job monitoring across multiple services. It solves problems related to data integration, pipeline management, and workflow automation, accepting natural language inputs and outputs. Ideal for use cases where users require intuitive and interactive data pipeline management, leveraging 44 tools across 9 StreamSets services.

Canonical page: https://skillsregistry.net/skills/bracta-streamsets-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/bracta-streamsets-mcp-server

## Description

Enables complete StreamSets Control Hub integration through conversational AI, allowing users to manage data pipelines, monitor jobs, and interactively build new pipelines with 44 tools across 9 StreamSets services. Features persistent pipeline builder sessions that let users create complete ETL workflows through natural language conversations.

## Trust

- **Trust score (0–1):** 0.00
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** devops-ci
- **Updated:** 2026-09-02

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/brujc2i3al)
- **Repository:** <https://github.com/bracta/streamsets-mcp-server>

## 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": "bracta-streamsets-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/bracta-streamsets-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/bracta-streamsets-mcp-server/pull`

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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