Airbyte knowledge MCP server
The Airbyte knowledge MCP server connects AI agents to comprehensive sources of information about Airbyte. It provides semantic search over Airbyte's documentation, website, OpenAPI specs, YouTube content, and GitHub issues, discussions, and pull requests.
When you're working with an AI agent on tasks that involve Airbyte, the MCP server gives your agent up-to-date context about Airbyte's features, APIs, and best practices without leaving your development environment.
When to use it
The Airbyte knowledge MCP is helpful when your AI agent is:
- Building a custom connector
- Working with PyAirbyte, Airbyte's Terraform provider, or REST API to configure sources, destinations, and connections
- Troubleshooting sync errors or connection issues
- Learning about Airbyte's architecture or deployment options
Any time an agent performs a task that requires interacting with Airbyte, the MCP server can provide relevant context.
Connecting to the MCP server
The server URL is https://airbyte.mcp.kapa.ai.
Cursor and VS Code
If you're using Cursor or VS Code, you can connect with one click through the Ask AI button in the Airbyte documentation. Click the button, then select the MCP install option from the dropdown menu.
Claude
For Claude Desktop or Claude Code, run the following command:
claude mcp add --transport http airbyte-docs https://airbyte.mcp.kapa.ai
Other AI tools
The Airbyte knowledge MCP works with any MCP-compatible tool, including Windsurf and ChatGPT Desktop. Refer to your tool's documentation for instructions on adding MCP servers, and use the server URL https://airbyte.mcp.kapa.ai.
Authentication
When connecting for the first time, you'll be prompted to sign in with any Google account. This authentication is used only to enforce rate limits and prevent abuse of the server. Airbyte does not access your email, name, or other personal data.
Rate limits
Each authenticated user is limited to 40 requests per hour and 200 requests per day.