airbyte-agent-mcp 0.1.157

MCP server for Airbyte connectors - connect AI assistants to 500+ data sources

Airbyte MCP Server

Connect AI assistants to a growing catalog of data sources through the Model Context Protocol (MCP).

This project provides an MCP server that exposes Airbyte connectors as tools, enabling AI assistants like Claude, Cursor, and Codex to interact with your data sources directly.

Features

• Growing Connector Catalog: Access any Airbyte connector (Salesforce, HubSpot, Stripe, databases, and more)
• Two Execution Modes:
  • Local Mode: Direct API calls using your credentials
  • Cloud Mode: Execute through Airbyte Cloud for managed infrastructure
• AI Tool Integration: One-command setup for Claude Code, Claude Desktop, Cursor, and Codex

Quick Start

1. List available connectors:

uv run agent-engine connectors list-oss

2. Generate a connector configuration (e.g., Gong):

uv run agent-engine connectors configure --package airbyte-agent-gong

3. Set your connector credentials in .env:

GONG_ACCESS_KEY=your-access-key
GONG_ACCESS_KEY_SECRET=your-secret

4. Register with your AI tool:

# Claude Code
uv run agent-engine mcp add-to claude-code connector-gong-package.yaml

# Claude Desktop
uv run agent-engine mcp add-to claude-desktop connector-gong-package.yaml

# Cursor
uv run agent-engine mcp add-to cursor connector-gong-package.yaml

# OpenAI Codex
uv run agent-engine mcp add-to codex connector-gong-package.yaml

5. Restart your AI tool and start asking questions like "List all users from Gong" or "Search for calls from last week".

Configuration

Local Mode (Direct API Access)

For local execution with your own credentials. This mode calls the data source API directly and only supports operations that the API provides (e.g., list, get by ID).

Info: Arbitrary search/filter queries are not supported unless the underlying API supports them.

connector:
  package: airbyte-agent-gong
  version: 0.1.13  # optional, defaults to latest
credentials:
  access_key: ${env.GONG_ACCESS_KEY}
  access_key_secret: ${env.GONG_ACCESS_KEY_SECRET}

Cloud Mode (Airbyte Cloud)

For execution through Airbyte Cloud. This mode supports arbitrary search and filter queries across all entities, as data is kept up to date and indexed in Airbyte's infrastructure.

connector:
  connector_id: <connector-id>
credentials:
  airbyte_client_id: ${env.AIRBYTE_CLIENT_ID}
  airbyte_client_secret: ${env.AIRBYTE_CLIENT_SECRET}

Credentials use ${env.VAR_NAME} syntax and are resolved from .env files, which the CLI loads automatically.

You can also point the connector to a local path or a git repository — run uv run agent-engine connectors configure --help for all options.

Aggregate Config (Multiple Connectors)

You can run one MCP server with multiple connector configs:

name: airbyte-crm-suite
configs:
  - connector-gong-package.yaml
  - connector-salesforce-cloud.yaml

CLI Commands

All commands are run with uv run agent-engine <command>. Use --help on any command for full options.

Login

Save your Airbyte Cloud credentials so they are available to all commands without a local .env file:

uv run agent-engine login <organization-id>

This prints a link to the Airbyte authentication page for your organization where you can find your Client ID and Secret, then prompts for both values. Credentials are written to ~/.airbyte_agent_mcp/orgs/<organization-id>/.env and the organization is set as the default.

You can log into multiple organizations and switch between them:

uv run agent-engine orgs list              # List logged-in organizations
uv run agent-engine orgs default org-xyz   # Switch default organization
uv run agent-engine --org org-abc <cmd>    # Override for a single command

Connectors

# List available connectors
uv run agent-engine connectors list-oss
uv run agent-engine connectors list-oss --pattern salesforce

# List cloud connectors
uv run agent-engine connectors list-cloud
uv run agent-engine connectors list-cloud --customer acme

# Generate a connector configuration
uv run agent-engine connectors configure --package airbyte-agent-gong
uv run agent-engine connectors configure --connector-id <id>

MCP Server

# Start with stdio transport (default)
uv run agent-engine mcp serve connector-gong-package.yaml

# Start with an aggregate config (multiple connectors)
uv run agent-engine mcp serve connectors.yaml

# Start with HTTP transport
uv run agent-engine mcp serve connector-gong-package.yaml --transport http --port 8080

# Register with an AI tool
uv run agent-engine mcp add-to claude-code connector-gong-package.yaml

# Register aggregate config with an AI tool
uv run agent-engine mcp add-to codex connectors.yaml

Chat

Chat with your connector data using natural language, powered by Claude. Requires ANTHROPIC_API_KEY.

# One-shot mode (great for piping)
uv run agent-engine chat connector-gong-package.yaml "show me 5 users"

# Chat with an aggregate config
uv run agent-engine chat connectors.yaml "show me 5 users from each system"

# Interactive REPL
uv run agent-engine chat connector-gong-package.yaml

Development

# Install dependencies
uv sync --group dev

# Run tests
uv run poe test

# Format and lint
uv run poe format
uv run poe check

Links

• Airbyte
• Model Context Protocol
• Claude Code
• GitHub Issues
• Airbyte Community Slack