airbyte-ops-mcp

MCP and API interfaces that let the agents do the admin work.

How to Contribute

  • CONTRIBUTING.md — contributor setup, local testing, and development workflows.
  • AGENTS.md — agent-specific operating guidance.

Documentation

Ops Repo Subprojects

Subproject Root dir Description Release notes
airbyte-internal-ops . MCP server and airbyte-ops CLI for Airbyte admin operations. v0 releases
airbyte-cloud-cli airbyte-cloud-cli/ Standalone CLI for Airbyte Cloud operations. v0 releases
Sentry infrastructure infra/sentry/ Pulumi project for connector error monitoring configuration. N/A
Agent message bus infrastructure infra/agent-message-bus/ Pulumi and Cloud Run app for internal agent messaging. N/A

GitHub's Releases UI does not group releases by package automatically. Use a tag filter with the exact tag namespace and at least major-version precision, such as tag:v0 or tag:airbyte-cloud-cli/v0, or use the links above.

Installing Ops MCP in your Client

This config example will help you add the MCP server to your client:

{
  "mcpServers": {
    "airbyte-ops-mcp": {
      "type": "stdio",
      "command": "uv",
      "args": [
        "run",
        "--project=/Users/aj.steers/repos/airbyte-ops-mcp/",
        "airbyte-ops-mcp"
      ],
      "env": {
        "AIRBYTE_MCP_ENV_FILE": "/Users/{user-id}/.mcp/airbyte_mcp.env"
      }
    },
    "airbyte-coral-mcp": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "--python=3.11",
        "--from=airbyte@latest",
        "airbyte-mcp"
      ],
      "env": {
        "AIRBYTE_MCP_ENV_FILE": "/Users/{user-id}/.mcp/airbyte_mcp.env"
      }
    }
  }
}

Connecting to the hosted MCP servers

Use interactive OAuth by default. The client opens a browser to complete the login flow; do not add a headers block:

{
  "mcpServers": {
    "airbyte-ops-mcp": {
      "type": "http",
      "url": "https://mcp.internal.airbyte.ai/ops-mcp"
    },
    "airbyte-cloud-mcp": {
      "type": "http",
      "url": "https://mcp.internal.airbyte.ai/cloud-mcp"
    }
  }
}

MCP client configuration syntax is client-specific. The block above uses the common type: "http" and url spelling. For Goose, use type: "streamable_http" and uri instead:

{
  "mcpServers": {
    "airbyte-ops-mcp": {
      "type": "streamable_http",
      "uri": "https://mcp.internal.airbyte.ai/ops-mcp"
    },
    "airbyte-cloud-mcp": {
      "type": "streamable_http",
      "uri": "https://mcp.internal.airbyte.ai/cloud-mcp"
    }
  }
}

Use the hosted endpoint path exactly as shown; do not append /mcp.

For a headless client, use the two credential headers instead:

{
  "mcpServers": {
    "airbyte-ops-mcp": {
      "type": "http",
      "url": "https://mcp.internal.airbyte.ai/ops-mcp",
      "headers": {
        "Client-Id": "${AIRBYTE_CLOUD_CLIENT_ID}",
        "Client-Secret": "${AIRBYTE_CLOUD_CLIENT_SECRET}"
      }
    },
    "airbyte-cloud-mcp": {
      "type": "http",
      "url": "https://mcp.internal.airbyte.ai/cloud-mcp",
      "headers": {
        "Client-Id": "${AIRBYTE_CLOUD_CLIENT_ID}",
        "Client-Secret": "${AIRBYTE_CLOUD_CLIENT_SECRET}"
      }
    }
  }
}

Whether ${ENV} references are expanded inside a headers block depends on the client; if not, provide the credential values through that client's supported secret configuration.

The credential-header form is enabled on airbyte-ops-mcp. It is not yet enabled on airbyte-cloud-mcp; sending those headers there currently triggers the client's OAuth fallback, which opens a browser consent page at https://mcp.internal.airbyte.ai/cloud-mcp/consent and can leave the client waiting instead of showing the underlying 401. The PyAirbyte server must first receive the corresponding support. See docs/authentication.md for the full authentication model and security guidance.

Your .env file should include the following values:

# Creds for Airbyte Cloud OAuth
AIRBYTE_CLOUD_CLIENT_ID="..."
AIRBYTE_CLOUD_CLIENT_SECRET="..."

# Required for elevated admin operations
AIRBYTE_INTERNAL_ADMIN_FLAG=airbyte.io
AIRBYTE_INTERNAL_ADMIN_USER={my-id}@airbyte.io

# Workspace ID for Testing
AIRBYTE_CLOUD_TEST_WORKSPACE_ID="..."

Onboarding

If this is your first time working with Airbyte's connector tooling, see ONBOARDING.md for instructions on setting up required credentials like GCP_GSM_CREDENTIALS.

Connector Registry

For an overview of the connector registry architecture, operations, and CLI commands, see docs/connector-registry.md.

For release-block marker operations that prevent republishing known-bad connector code after a yank, see docs/release-blocks.md.

For details on known, intentional differences between the new Registry 2.0 generation pipeline and the legacy pipeline, see Connector Registry 2.0 Migration Changes in CONTRIBUTING.md.

Getting Started

Once configured, use the test_my_tools prompt by typing "/test" into your agent and selecting the auto-complete option for the test_my_tools prompt.

This prompt will step through all the tools, demoing their capabilities.

Key dates

PyPI data
Data sourced directly from PyPI's database.
  • Released:
Newer release available (0.102.0)

1 maintainer

PyPI data
Data sourced directly from PyPI's database.
Avatar for airbyte-engineering from gravatar.com airbyte-engineering

Credits

Author: Aaron Steers

License

MIT License

Requires

Python <3.13, >=3.11

Tags

admin airbyte api mcp

Classifiers

Report project as malware

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