# Fivetran

> Use this tool when you need to manage data pipelines and integrate with various data sources through natural language commands. It solves problems related to data synchronization, monitoring, and management by providing a simple interface to list and manage connections, trigger syncs, and view schemas. Ideal for use cases where automated data pipeline management is required, with inputs including natural language commands and outputs including sync status, task details, and warning alerts.

Canonical page: https://skillsregistry.net/skills/yimingyan-fivetran  
JSON: https://api.skillsregistry.net/v1/skills/yimingyan-fivetran

## Description

Integrates with Fivetran's REST API to manage data pipelines through natural language. Supports listing and managing connections, triggering syncs, viewing schemas and tables, monitoring sync status with task and warning details, and managing destination groups. Built with Python and installable via PyPI.

## Trust

- **Trust score (0–1):** 0.64
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** devops-ci
- **Updated:** 2026-09-01

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/yimingyan-fivetran)
- **Repository:** <https://github.com/yimingyan/fivetran-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": "yimingyan-fivetran"
    }
  }
}
```

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