PyAirbyte MCP Server

Item: PyAirbyte MCP Server
Rating: 71
Author: M8ven

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.

→ quintonwall/airbyte-labs-pyairbyte-mcp · listed on glama

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// key findings

✅

No credential exfiltration, no sensitive file access, no obfuscation

Static analysis found nothing flowing your secrets to unexpected places.

🔐

You'll be asked for 2 credentials: OPENAI_API_KEY, MCP_TRACKING_KEY

These are read from process.env at runtime. Make sure you trust where they’ll be sent.

// required environment variables

This server reads these from process.env. You'll be asked to provide them before it can run.

configPORT

configVECTOR_STORE_ID

🔐 secretOPENAI_API_KEY— "": "your-openai-api-key-here"

🔐 secretMCP_TRACKING_KEY

configDOCKER_CONTAINER

configDYNO

configVERCEL

configMCP_CLIENT_OVERRIDE

configMCP_ENABLE_LOCAL_LOGGING

configMCP_TELEMETRY_HASH_PROMPTS

// full audit trail

The full breakdown of what we checked, the deductions that landed, the network hosts, the dependency advisories, and concrete fix guidance is available to verified publishers.

// improvement guidance — verified publishers only

We have 4 concrete improvements we can share with the publisher of this MCP. Each comes with specific guidance to raise the trust score.

// embed badge in your README

[![M8ven Score](https://m8ven.ai/badge/mcp/quintonwall-airbyte-labs-pyairbyte-mcp-kur5e1)](https://m8ven.ai/mcp/quintonwall-airbyte-labs-pyairbyte-mcp-kur5e1)

commit: 6e6f29561f94fa6cc0d5c205193a95ae9dd66892

code hash: ccebe43b5d85341ff0dd245ab0f4de7dd4ccc3bdd517b3e852911cb454930a97

verified: 6/17/2026, 12:47:53 PM

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