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create_pipeline_variable

Add secure or plain-text configuration variables to Bitbucket pipelines for managing secrets and environment settings.

Instructions

Create a pipeline variable.

Args: repo_slug: Repository slug key: Variable name (e.g., "PYPI_TOKEN", "AWS_SECRET_KEY") value: Variable value secured: Whether to encrypt the value (default: False). Secured variables cannot be read back from the API. Returns: Created variable info with UUID

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
repo_slugYes
keyYes
valueYes
securedNo

Implementation Reference

  • MCP tool handler for create_pipeline_variable. This is the main execution function decorated with @mcp.tool(), which handles the tool call, gets the Bitbucket client, calls the underlying client method, and returns formatted response.
    @mcp.tool() @handle_bitbucket_error @formatted def create_pipeline_variable( repo_slug: str, key: str, value: str, secured: bool = False, ) -> dict: """Create a pipeline variable. Args: repo_slug: Repository slug key: Variable name (e.g., "PYPI_TOKEN", "AWS_SECRET_KEY") value: Variable value secured: Whether to encrypt the value (default: False). Secured variables cannot be read back from the API. Returns: Created variable info with UUID """ client = get_client() result = client.create_pipeline_variable(repo_slug, key, value, secured) return { "uuid": result.get("uuid"), "key": result.get("key"), "secured": result.get("secured"), }
  • Helper method in BitbucketClient that performs the actual Bitbucket API POST request to create the pipeline variable.
    def create_pipeline_variable( self, repo_slug: str, key: str, value: str, secured: bool = False, ) -> dict[str, Any]: """Create a pipeline variable. Args: repo_slug: Repository slug key: Variable name (e.g., "PYPI_TOKEN") value: Variable value secured: Whether to encrypt the value (default: False) Returns: Created variable info """ payload = {"key": key, "value": value, "secured": secured} result = self._request( "POST", self._repo_path(repo_slug, "pipelines_config", "variables") + "/", json=payload, ) return self._require_result(result, "create pipeline variable")
  • src/server.py:530-530 (registration)
    The @mcp.tool() decorator registers the create_pipeline_variable function as an MCP tool.
    @mcp.tool()

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