AYX-MCP-Wrapper

⚠️ DISCLAIMER

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.

Features

Advanced Search: Find users, workflows, and assets with flexible search options
Workflow Operations: Execute, transfer, and manage workflows with full control
Workflow Assets: Download workflow packages and extract XML for analysis
Job Monitoring: Track and manage workflow execution jobs in real-time
Collections Management: Create, update, delete, and organize collections
User Management: Manage users, their assets, and permissions efficiently
Schedule Management: Create and manage workflow schedules and automation
Credential Management: Handle server credentials and secure connections

Prerequisites

Python 3.10+ - Modern Python with type hints support
Alteryx Server - With API access enabled
OAuth2 Credentials - Client ID and Secret for authentication

Installation

Quick Start with uv (Recommended)

# Install uv if you haven't already
curl -LsSf https://astral.sh/uv/install.sh | sh

# Install the MCP server
uv pip install mcp-server-alteryx

Using pip

pip install mcp-server-alteryx

From Source

git clone https://github.com/jupiterbak/AYX-MCP-Wrapper.git
cd AYX-MCP-Wrapper
uv sync
uv run pip install -e .

Configuration

Environment Variables

Set up your Server credentials using environment variables:

# Required: Server API URL
export ALTERYX_API_HOST="https://your-server.com/webapi/"

# Required: OAuth2 Client Credentials
export ALTERYX_CLIENT_ID="your-client-id"
export ALTERYX_CLIENT_SECRET="your-client-secret"

# Optional: SSL Verification (default: true)
export ALTERYX_VERIFY_SSL="1"

# Optional: temporary folder
export ALTERYX_TEMP_DIRECTORY="your-temp-directory"

# Optional: Logging level
export LOG_LEVEL="INFO"

Configuration File

Alternatively, create a .env file in your project root:

ALTERYX_API_HOST=https://your-server.com/webapi/
ALTERYX_CLIENT_ID=your-client-id
ALTERYX_CLIENT_SECRET=your-client-secret
ALTERYX_VERIFY_SSL=1
ALTERYX_TEMP_DIRECTORY=your-temp-directory
LOG_LEVEL=INFO

Usage

Claude Desktop Integration

To use this MCP server with Claude Desktop, add the following configuration to your Claude Desktop settings:

{
  "mcpServers": {
    "alteryx": {
      "command": "uvx",
      "args": ["mcp-server-alteryx", "--transport", "stdio"],
      "env": {
        "ALTERYX_API_HOST": "https://your-server.com/webapi/",
        "ALTERYX_CLIENT_ID": "your-client-id",
        "ALTERYX_CLIENT_SECRET": "your-client-secret",
        "ALTERYX_VERIFY_SSL": "1",
        "ALTERYX_TEMP_DIRECTORY": "your-temp-directory"
      }
    }
  }
}


However, we recommend to use it in combination with the "Sequential Thinking" tool:

```json
{   "mcpServers": {
  "sequential-thinking": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-sequential-thinking"
      ]
    },
    "alteryx": {
      "command": "uvx",
      "args": ["mcp-server-alteryx", "--transport", "stdio"],
      "env": {
        "ALTERYX_API_HOST": "http://localhost/webapi/",
        "ALTERYX_CLIENT_ID": "your-client-id",
        "ALTERYX_CLIENT_SECRET": "your-client-secret",
        "ALTERYX_VERIFY_SSL": "1",
        "ALTERYX_TEMP_DIRECTORY": "your-temp-directory"
      }
    }
  }
}

Configuration Options:

command: The uvx executable to use
args: Command line arguments for the MCP server
env: Environment variables for Server authentication

Transport Options:

stdio: Standard input/output (recommended for Claude Desktop)
sse: Server-Sent Events
streamable-http: HTTP streaming

Cursor Integration

For Cursor IDE integration, add to your Cursor settings:

{
  "mcpServers": {
    "alteryx": {
      "command": "uvx",
      "args": ["mcp-server-alteryx", "--transport", "stdio"],
      "env": {
        "ALTERYX_API_HOST": "https://your-alteryx-server.com/webapi/",
        "ALTERYX_CLIENT_ID": "your-client-id",
        "ALTERYX_CLIENT_SECRET": "your-client-secret",
        "ALTERYX_TEMP_DIRECTORY": "your-temp-directory"
      }
    }
  }
}

Command Line Interface

The MCP server can be run with different transport options:

# Using stdio transport (default)
uvx run src.main --transport stdio

# Using Server-Sent Events (SSE)
uvx run src.main --transport sse

# Using HTTP streaming
uvx run src.main --transport streamable-http

# Set log level
uvx run src.main --log-level DEBUG

# Run with custom configuration
uvx run src.main --transport stdio --log-level INFO

Available Tools

The MCP server provides comprehensive tools organized by functionality:

Collections Management

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`

Workflow Operations

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`

User Management

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`

Schedule Management

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`

Job Monitoring

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`

Credentials & Connections

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`

Development

Setup Development Environment

# Clone the repository
git clone https://github.com/jupiterbak/AYX-MCP-Wrapper.git
cd AYX-MCP-Wrapper

# Install dependencies
uv sync

# Install in development mode
uv run pip install -e .

Contributing

We welcome contributions! Please follow these steps:

Fork the repository
Create a feature branch (git checkout -b feature/amazing-feature)
Commit your changes (git commit -m 'Add amazing feature')
Push to the branch (git push origin feature/amazing-feature)
Open a Pull Request

License

This project is licensed under the MIT License - see the LICENSE file for details.

Model Context Protocol - The MCP specification
Claude Desktop - Claude Desktop application

Made with ❤️ for the community

AYX-MCP-Wrapper

⚠️ DISCLAIMER

This is NOT an official implementation.

Features

Advanced Search: Find users, workflows, and assets with flexible search options
Workflow Operations: Execute, transfer, and manage workflows with full control
Workflow Assets: Download workflow packages and extract XML for analysis
Job Monitoring: Track and manage workflow execution jobs in real-time
Collections Management: Create, update, delete, and organize collections
User Management: Manage users, their assets, and permissions efficiently
Schedule Management: Create and manage workflow schedules and automation
Credential Management: Handle server credentials and secure connections

Prerequisites

Python 3.10+ - Modern Python with type hints support
Alteryx Server - With API access enabled
OAuth2 Credentials - Client ID and Secret for authentication

Installation

Quick Start with uv (Recommended)

# Install uv if you haven't already
curl -LsSf https://astral.sh/uv/install.sh | sh

# Install the MCP server
uv pip install mcp-server-alteryx

Using pip

pip install mcp-server-alteryx

From Source

git clone https://github.com/jupiterbak/AYX-MCP-Wrapper.git
cd AYX-MCP-Wrapper
uv sync
uv run pip install -e .

Configuration

Environment Variables

Set up your Server credentials using environment variables:

# Required: Server API URL
export ALTERYX_API_HOST="https://your-server.com/webapi/"

# Required: OAuth2 Client Credentials
export ALTERYX_CLIENT_ID="your-client-id"
export ALTERYX_CLIENT_SECRET="your-client-secret"

# Optional: SSL Verification (default: true)
export ALTERYX_VERIFY_SSL="1"

# Optional: temporary folder
export ALTERYX_TEMP_DIRECTORY="your-temp-directory"

# Optional: Logging level
export LOG_LEVEL="INFO"

Configuration File

Alternatively, create a .env file in your project root:

ALTERYX_API_HOST=https://your-server.com/webapi/
ALTERYX_CLIENT_ID=your-client-id
ALTERYX_CLIENT_SECRET=your-client-secret
ALTERYX_VERIFY_SSL=1
ALTERYX_TEMP_DIRECTORY=your-temp-directory
LOG_LEVEL=INFO

Usage

Claude Desktop Integration

To use this MCP server with Claude Desktop, add the following configuration to your Claude Desktop settings:

{
  "mcpServers": {
    "alteryx": {
      "command": "uvx",
      "args": ["mcp-server-alteryx", "--transport", "stdio"],
      "env": {
        "ALTERYX_API_HOST": "https://your-server.com/webapi/",
        "ALTERYX_CLIENT_ID": "your-client-id",
        "ALTERYX_CLIENT_SECRET": "your-client-secret",
        "ALTERYX_VERIFY_SSL": "1",
        "ALTERYX_TEMP_DIRECTORY": "your-temp-directory"
      }
    }
  }
}


However, we recommend to use it in combination with the "Sequential Thinking" tool:

```json
{   "mcpServers": {
  "sequential-thinking": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-sequential-thinking"
      ]
    },
    "alteryx": {
      "command": "uvx",
      "args": ["mcp-server-alteryx", "--transport", "stdio"],
      "env": {
        "ALTERYX_API_HOST": "http://localhost/webapi/",
        "ALTERYX_CLIENT_ID": "your-client-id",
        "ALTERYX_CLIENT_SECRET": "your-client-secret",
        "ALTERYX_VERIFY_SSL": "1",
        "ALTERYX_TEMP_DIRECTORY": "your-temp-directory"
      }
    }
  }
}

Configuration Options:

command: The uvx executable to use
args: Command line arguments for the MCP server
env: Environment variables for Server authentication

Transport Options:

stdio: Standard input/output (recommended for Claude Desktop)
sse: Server-Sent Events
streamable-http: HTTP streaming

Cursor Integration

For Cursor IDE integration, add to your Cursor settings:

{
  "mcpServers": {
    "alteryx": {
      "command": "uvx",
      "args": ["mcp-server-alteryx", "--transport", "stdio"],
      "env": {
        "ALTERYX_API_HOST": "https://your-alteryx-server.com/webapi/",
        "ALTERYX_CLIENT_ID": "your-client-id",
        "ALTERYX_CLIENT_SECRET": "your-client-secret",
        "ALTERYX_TEMP_DIRECTORY": "your-temp-directory"
      }
    }
  }
}

Command Line Interface

The MCP server can be run with different transport options:

# Using stdio transport (default)
uvx run src.main --transport stdio

# Using Server-Sent Events (SSE)
uvx run src.main --transport sse

# Using HTTP streaming
uvx run src.main --transport streamable-http

# Set log level
uvx run src.main --log-level DEBUG

# Run with custom configuration
uvx run src.main --transport stdio --log-level INFO

Available Tools

The MCP server provides comprehensive tools organized by functionality:

Collections Management

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`

Workflow Operations

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`

User Management

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`

Schedule Management

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`

Job Monitoring

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`

Credentials & Connections

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`

Development

Setup Development Environment

# Clone the repository
git clone https://github.com/jupiterbak/AYX-MCP-Wrapper.git
cd AYX-MCP-Wrapper

# Install dependencies
uv sync

# Install in development mode
uv run pip install -e .

Contributing

We welcome contributions! Please follow these steps:

Fork the repository
Create a feature branch (git checkout -b feature/amazing-feature)
Commit your changes (git commit -m 'Add amazing feature')
Push to the branch (git push origin feature/amazing-feature)
Open a Pull Request

License

This project is licensed under the MIT License - see the LICENSE file for details.

Model Context Protocol - The MCP specification
Claude Desktop - Claude Desktop application

Made with ❤️ for the community

AYX-MCP-Wrapper

AYX-MCP-Wrapper

⚠️ DISCLAIMER

Features

Prerequisites

Installation

Quick Start with uv (Recommended)

Using pip

From Source

Configuration

Environment Variables

Configuration File

Usage

Claude Desktop Integration

Cursor Integration

Command Line Interface

Available Tools

Collections Management

Workflow Operations

User Management

Schedule Management

Job Monitoring

Credentials & Connections

Development

Setup Development Environment

Contributing

License

Related Projects

AYX-MCP-Wrapper

⚠️ DISCLAIMER

Features

Prerequisites

Installation

Quick Start with uv (Recommended)

Using pip

From Source

Configuration

Environment Variables

Configuration File

Usage

Claude Desktop Integration

Cursor Integration

Command Line Interface

Available Tools

Collections Management

Workflow Operations

User Management

Schedule Management

Job Monitoring

Credentials & Connections

Development

Setup Development Environment

Contributing

License

Related Projects