Interact with your Google Cloud Composer resources using natural language commands.
Connect Remote server
claude mcp add --transport http mcp https://composer.googleapis.com/mcp{
"mcpServers": {
"mcp": {
"url": "https://composer.googleapis.com/mcp"
}
}
}{
"servers": {
"mcp": {
"type": "http",
"url": "https://composer.googleapis.com/mcp"
}
}
}Settings > Connectors > Add custom connector
URL: https://composer.googleapis.com/mcpTools 16 found in our last check
create_environmentInitiates the creation of a new Managed Airflow environment with default settings. This tool creates a small private IP environment with a default configuration, including default networking settings. Creating public IP environments, or customizing most settings (such as network…
get_environmentRetrieves details about a specific Managed Airflow environment, including its configuration and status. Use this tool to check the current state of an environment, its Airflow version, Airflow UI URL, environment's bucket, or other configuration details.
list_environmentsLists all Managed Airflow environments in a given project and location. Use this tool to when you need to know which environments exist in a specific project and location. Results are paginated; use `page_size` to control the number of results per page and `page_token` from a pr…
delete_environmentInitiates the deletion of a Managed Airflow environment. Warning: This is a destructive action permanently deletes an environment and can't be undone. Always ask the user to confirm the deletion before proceeding. This tool triggers the environment deletion process, which is a l…
manage_pypi_packagesManages PyPI packages in a Managed Airflow environment. Use this tool to install and uninstall PyPI packages in the Managed Airflow environment, or change PyPI package versions or extras. To install packages or change versions or extras, use the `update_packages` field. To remov…
get_operationGets the latest status of a long-running operation. Several tools like `create_environment`, `delete_environments`, and `manage_pypi_packages` return an operation object, because they initiate processes that take time to complete. Use this tool to check if such an operation has…
get_dagRetrieves metadata and status of a specific DAG in a Managed Airflow environment. Use this tool when you need to check if a DAG exists, inspect its metadata (such as schedule or current state), or verify whether a newly uploaded/updated DAG file has been imported by Airflow (see…
list_dagsLists all DAGs in a Managed Airflow environment. Use this tool to get a list of all DAGs in the environment, for example to discover the DAGs present in the environment or get the state or properties of each DAG. Results are paginated; use `page_size` to control the number of re…
get_dag_source_codeRetrieves the DAG source code from a Managed Airflow environment. Use this tool when you want to understand DAG implementation details, for example to understand why a DAG run has failed, or to debug DAG's behavior. The tool returns the latest version of the source code.
get_dag_runRetrieves details of a specific DAG run from a Managed Airflow environment. Use this tool when you need to retrieve details of a specific DAG run, for example its state, start time or end time. This tool does not return DAG run logs directly. Instead, use the `cloud_logging_filt…
list_dag_runsLists DAG runs in a Managed Airflow environment. Use this tool to get a list of DAG runs in the environment, or runs for a specific DAG, for example to determine the overall healthiness of the environment or DAG. The tool returns DAG runs in the order of creation date, most rece…
get_task_instanceRetrieves details of a specific task instance from a Managed Airflow environment. Use this tool to retrieve details of a specific task instance, such as its state, start time, end time, or parameters, to understand its status or to debug a failure. This tool does not return task…
find_last_failed_dag_runsFinds failed DAG runs in a Managed Airflow environment. Use this tool to find recent DAG run failures, for example to begin troubleshooting. If the user wants to troubleshoot a specific DAG, provide the DAG ID to get the details of its last failed run. If the user doesn't know w…
list_failed_task_instancesLists failed task instances of a specific DAG run in a Managed Airflow environment. If a DAG run has failed, use this tool to get the list of task instances of this DAG run that are in the FAILED state and may have caused the DAG run failure. This tool does not return task insta…
trigger_dagTriggers a DAG run for a specified DAG in a Managed Airflow environment. Use this tool when you need to manually start a new run of a DAG. The tool returns a DAG run object containing the details and state of the newly triggered run. You can use the `get_dag_run` tool to poll fo…
list_import_errorsLists Python import errors and parsing failures in a Managed Airflow environment. Use this tool to check if all DAGs are being parsed correctly in the environment. After uploading a DAG, use this tool alongside `get_dag` to check its parsing status: - **Success**: `get_dag` retu…
Details
| Endpoint | https://composer.googleapis.com/mcp (Streamable HTTP) |
| First published | 19 Apr 2026 |
| Last updated | 19 Apr 2026 |
| Registry name | com.googleapis.composer/mcp |
More search and web servers See all
Listing data from the official MCP registry. Status and tools from NestDaddy's daily check. Browse all MCP servers.