Skip to main content

Model Context Protocol (MCP) server for Alteryx Server

Project description

AYX-MCP-Wrapper

Python 3.10+ License: MIT MCP Protocol

⚠️ 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:

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

License

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

Related Projects


Made with ❤️ for the community

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

mcp_server_alteryx-0.2.22.tar.gz (100.1 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

mcp_server_alteryx-0.2.22-py3-none-any.whl (247.5 kB view details)

Uploaded Python 3

File details

Details for the file mcp_server_alteryx-0.2.22.tar.gz.

File metadata

  • Download URL: mcp_server_alteryx-0.2.22.tar.gz
  • Upload date:
  • Size: 100.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.6.9

File hashes

Hashes for mcp_server_alteryx-0.2.22.tar.gz
Algorithm Hash digest
SHA256 6da90695b317dddfb3410a62367fc85d0118a805d21334cf661c5290b2dc9a6b
MD5 5f6e33f2fcfeaaa40743e92593007ebe
BLAKE2b-256 37fe2758e8dcfc0be5f6fd6954015ea3e3f46f2af451d1e3f282b2aa54a8106e

See more details on using hashes here.

File details

Details for the file mcp_server_alteryx-0.2.22-py3-none-any.whl.

File metadata

File hashes

Hashes for mcp_server_alteryx-0.2.22-py3-none-any.whl
Algorithm Hash digest
SHA256 dc0fb7b0798b29f48f518a87acbba14fafc9f53f22f4e4659190951259a8e47a
MD5 20e33d5403f89f7ef878f280a7a9d84f
BLAKE2b-256 12ad0120112fd19b207e8868d019b6f8f6f57ca76e3a5d4f5db6bfb09d5a153d

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page