Provides a comprehensive interface to Alteryx Servers for managing workflows, collections, users, schedules, and credentials. Enables advanced search, workflow execution, asset management, job monitoring, and secure connection handling.
This is NOT an official implementation.
This project is a personal initiative and is not affiliated with, endorsed by, or supported by any company. Even if the maintainer is an employee of a related company, this project is developed independently without any official backing or support.
A Model Context Protocol (MCP) server that provides a comprehensive interface to Alteryx Servers. This wrapper enables AI assistants and other MCP clients to interact with Alteryx Server for managing workflows, collections, users, schedules, credentials, and more.
Set up your Server credentials using environment variables:
Alternatively, create a .env file in your project root:
To use this MCP server with Claude Desktop, add the following configuration to your Claude Desktop settings:
Configuration Options:
command: The uvx executable to useargs: Command line arguments for the MCP serverenv: Environment variables for Server authenticationTransport Options:
stdio: Standard input/output (recommended for Claude Desktop)sse: Server-Sent Eventsstreamable-http: HTTP streamingFor Cursor IDE integration, add to your Cursor settings:
The MCP server can be run with different transport options:
The MCP server provides comprehensive tools organized by functionality:
| Function | Description | Parameters |
|---|---|---|
get_all_collections() | Retrieve all accessible collections | None |
get_collection_by_id(collection_id) | Get specific collection details | collection_id: str |
create_collection(name) | Create a new collection | name: str |
update_collection_name_or_owner(collection_id, name, owner_id) | Update collection properties | collection_id: str, name: str, owner_id: str |
add_workflow_to_collection(collection_id, workflow_id) | Add workflow to collection | collection_id: str, workflow_id: str |
remove_workflow_from_collection(collection_id, workflow_id) | Remove workflow from collection | collection_id: str, workflow_id: str |
add_schedule_to_collection(collection_id, schedule_id) | Add schedule to collection | collection_id: str, schedule_id: str |
remove_schedule_from_collection(collection_id, schedule_id) | Remove schedule from collection | collection_id: str, schedule_id: str |
delete_collection(collection_id) | Delete a collection | collection_id: str |
| Function | Description | Parameters |
|---|---|---|
get_all_workflows() | Retrieve all accessible workflows | None |
get_workflow_by_id(workflow_id) | Get specific workflow details | workflow_id: str |
update_workflow_name_or_comment(workflow_id, name, comment) | Update workflow properties | workflow_id: str, name: str, comment: str |
transfer_workflow(workflow_id, new_owner_id) | Transfer workflow ownership | workflow_id: str, new_owner_id: str |
get_workflow_jobs(workflow_id) | Get jobs for a workflow | workflow_id: str |
start_workflow_execution(workflow_id, input_data) | Start workflow execution and return job ID | workflow_id: str, input_data: List[InputData] |
execute_workflow_with_monitoring(workflow_id, input_data) | Execute workflow and monitor completion | workflow_id: str, input_data: List[InputData] |
download_workflow_package_file(workflow_id, output_directory) | Download workflow package | workflow_id: str, output_directory: str |
get_workflow_xml(workflow_id) | Extract workflow XML | workflow_id: str |
| Function | Description | Parameters |
|---|---|---|
get_all_users() | Retrieve all accessible users | None |
get_user_by_id(user_id) | Get specific user details | user_id: str |
get_user_by_email(email) | Find user by email | email: str |
get_user_by_name(name) | Find user by name | name: str |
get_user_by_first_name(first_name) | Find user by first name | first_name: str |
get_all_user_assets(user_id) | Get all assets owned by user | user_id: str |
get_user_assets_by_type(user_id, asset_type) | Get specific asset types | user_id: str, asset_type: str |
update_user_details(user_id, first_name, last_name, email) | Update user information | user_id: str, first_name: str, last_name: str, email: str |
transfer_all_assets(user_id, new_owner_id, transfer_workflows, transfer_schedules, transfer_collections) | Transfer user assets | user_id: str, new_owner_id: str, transfer_workflows: bool, transfer_schedules: bool, transfer_collections: bool |
deactivate_user(user_id) | Deactivate a user | user_id: str |
reset_user_password(user_id) | Reset user password | user_id: str |
| Function | Description | Parameters |
|---|---|---|
get_all_schedules() | Retrieve all accessible schedules | None |
get_schedule_by_id(schedule_id) | Get specific schedule details | schedule_id: str |
deactivate_schedule(schedule_id) | Deactivate a schedule | schedule_id: str |
activate_schedule(schedule_id) | Activate a schedule | schedule_id: str |
update_schedule_name_or_comment(schedule_id, name, comment) | Update schedule properties | schedule_id: str, name: str, comment: str |
change_schedule_owner(schedule_id, new_owner_id) | Change schedule ownership | schedule_id: str, new_owner_id: str |
| Function | Description | Parameters |
|---|---|---|
get_all_job_messages(job_id) | Get messages for a specific job | job_id: str |
get_job_by_id(job_id) | Get job details | job_id: str |
get_job_output_data(job_id) | Get output data files from completed job | job_id: str |
| Function | Description | Parameters |
|---|---|---|
get_all_credentials() | Retrieve all accessible credentials | None |
get_credential_by_id(credential_id) | Get specific credential details | credential_id: str |
lookup_connection(connection_id) | Lookup DCM connection | connection_id: str |
get_connection_by_id(connection_id) | Get connection details | connection_id: str |
We welcome contributions! Please follow these steps:
git checkout -b feature/amazing-feature)git commit -m 'Add amazing feature')git push origin feature/amazing-feature)This project is licensed under the MIT License - see the LICENSE file for details.
Made with ❤️ for the community
hybrid server
The server is able to function both locally and remotely, depending on the configuration or use case.
A Model Context Protocol server that provides a comprehensive interface to Alteryx Servers, enabling AI assistants to manage workflows, collections, users, schedules, credentials, and more.
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