Skip to main content
Glama

Unstructured API MCP Server

Official
s3.py3.83 kB
import os from typing import Optional from mcp.server.fastmcp import Context from unstructured_client.models.operations import ( CreateSourceRequest, GetSourceRequest, UpdateSourceRequest, ) from unstructured_client.models.shared import ( CreateSourceConnector, S3SourceConnectorConfigInput, UpdateSourceConnector, ) from uns_mcp.connectors.utils import ( create_log_for_created_updated_connector, ) def _prepare_s3_source_config( remote_url: Optional[str], recursive: Optional[bool], ) -> S3SourceConnectorConfigInput: """Prepare the Azure source connector configuration.""" config = S3SourceConnectorConfigInput( remote_url=remote_url, recursive=recursive, key=os.getenv("AWS_KEY"), secret=os.getenv("AWS_SECRET"), ) if os.getenv("TOKEN"): config.token = os.getenv("TOKEN") if os.getenv("ENDPOINT_URL"): config.endpoint_url = os.getenv("ENDPOINT_URL") return config async def create_s3_source( ctx: Context, name: str, remote_url: str, recursive: bool = False, ) -> str: """Create an S3 source connector. Args: name: A unique name for this connector remote_url: The S3 URI to the bucket or folder (e.g., s3://my-bucket/) recursive: Whether to access subfolders within the bucket Returns: String containing the created source connector information """ client = ctx.request_context.lifespan_context.client config = _prepare_s3_source_config(remote_url, recursive) source_connector = CreateSourceConnector(name=name, type="s3", config=config) try: response = await client.sources.create_source_async( request=CreateSourceRequest(create_source_connector=source_connector), ) result = create_log_for_created_updated_connector( response, connector_name="S3", connector_type="Source", created_or_updated="Created", ) return result except Exception as e: return f"Error creating S3 source connector: {str(e)}" async def update_s3_source( ctx: Context, source_id: str, remote_url: Optional[str] = None, recursive: Optional[bool] = None, ) -> str: """Update an S3 source connector. Args: source_id: ID of the source connector to update remote_url: The S3 URI to the bucket or folder recursive: Whether to access subfolders within the bucket Returns: String containing the updated source connector information """ client = ctx.request_context.lifespan_context.client # Get the current source connector configuration try: get_response = await client.sources.get_source_async( request=GetSourceRequest(source_id=source_id), ) current_config = get_response.source_connector_information.config except Exception as e: return f"Error retrieving source connector: {str(e)}" # Update configuration with new values config = dict(current_config) if remote_url is not None: config["remote_url"] = remote_url if recursive is not None: config["recursive"] = recursive source_connector = UpdateSourceConnector(config=config) try: response = await client.sources.update_source_async( request=UpdateSourceRequest( source_id=source_id, update_source_connector=source_connector, ), ) result = create_log_for_created_updated_connector( response, connector_name="S3", connector_type="Source", created_or_updated="Updated", ) return result except Exception as e: return f"Error updating S3 source connector: {str(e)}"

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/Unstructured-IO/UNS-MCP'

If you have feedback or need assistance with the MCP directory API, please join our Discord server