# PyAirbyte MCP Server

> Use this tool when you need to automate data pipeline creation between various sources and destinations, solving data integration challenges by generating complete PyAirbyte code and setup instructions for 600+ connectors. It takes in connector specifications and requirements as input, producing executable code and guidance as output. Ideal for streamlining data migration, synchronization, and analysis workflows with AI-driven efficiency.

Canonical page: https://skillsregistry.net/skills/quintonwall-airbyte-labs-pyairbyte-mcp  
JSON: https://api.skillsregistry.net/v1/skills/quintonwall-airbyte-labs-pyairbyte-mcp

## Description

Generates complete PyAirbyte data pipeline code and setup instructions for moving data between 600+ Airbyte source and destination connectors or to Pandas DataFrames, using AI-powered context-aware guidance based on connector documentation.

## Trust

- **Trust score (0–1):** 1.00
- **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:** [Glama](https://glama.ai/mcp/servers/ttqse6qyub)
- **Repository:** <https://github.com/quintonwall/airbyte-labs-pyairbyte-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": "quintonwall-airbyte-labs-pyairbyte-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/quintonwall-airbyte-labs-pyairbyte-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/quintonwall-airbyte-labs-pyairbyte-mcp/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