OpenOne

Unofficial MCP Server & API Client for Alteryx Analytics Cloud Platform

⚠️ 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.

Overview

OpenOne is an unofficial Model Context Protocol (MCP) server and Python API client for Alteryx Analytics Platform. It enables seamless integration between Claude and other MCP-compatible clients with your Alteryx Analytics Platform instance, providing programmatic access to schedules, datasets, plans and user management.

Features

• MCP-Compatible Server - Direct integration with Claude and other MCP clients
• Python API Client for AACP - Full-featured python client for Alteryx Analytics Platform
  • Schedule Management - Complete CRUD operations for workflow schedules
  • Plan Management - Create, run, and manage execution plans
  • Workspace Management - Multi-workspace support and user administration
  • Dataset Management - Access imported and wrangled datasets
  • Workflow Management - List, get, and run workflows
  • Job Management - Monitor job execution and retrieve inputs/outputs
  • User Management - User profiles and permission management
  • Multi-Region Support - Works with all regions worldwide

Installation

Prerequisites

• Python 3.10 or higher
• Alteryx Analytics Cloud Platform account
• OAuth2 credentials (Client ID, initial Access Token & Refresh Token)

Install Options

From GitHub (Recommended):

git clone https://github.com/jupiterbak/OpenOne.git
cd OpenOne
pip install .

Configuration

MCP Server Setup - Claude Desktop Configuration

Add the following to your Claude configuration file:

{
  "mcpServers": {
    "aacp-mcp-server": {
      "command": "uvx",
      "args": ["openone", "--transport", "stdio"],
      "env": {
        "OPENONE_API_BASE_URL": "https://api.eu1.alteryxcloud.com",
        "OPENONE_TOKEN_ENDPOINT": "https://pingauth-eu1.alteryxcloud.com/as",
        "OPENONE_CLIENT_ID":"your-client-id",
        "OPENONE_ACCESS_TOKEN": "your-access-token",
        "OPENONE_REFRESH_TOKEN":"your-refresh-token",
        "OPENONE_PERSISTENT_FOLDER":"~/.aacp"
      }
    }
  }
}

Alternative: Using a Configuration File

Instead of setting environment variables in the Claude config, you can create a .env file and reference it:

{
  "mcpServers": {
    "openone": {
      "command": "uvx",
      "args": [".", "--transport", "stdio"],
      "cwd": "/path/to/your/project",
      "env": {
        "OPENONE_API_BASE_URL": "https://api.eu1.alteryxcloud.com",
        "OPENONE_TOKEN_ENDPOINT":"https://pingauth-eu1.alteryxcloud.com/as",
        "OPENONE_CLIENT_ID":"your-client-id",
        "OPENONE_ACCESS_TOKEN": "your-access-token",
        "OPENONE_REFRESH_TOKEN":"your-refresh-token",
        "OPENONE_PERSISTENT_FOLDER":"~/.aacp"
      }
    }
  }
}

Environment Variables

Set up your OpenOne Analytics Platform credentials using environment variables:

# Required
export OPENONE_API_BASE_URL="https://api.eu1.alteryxcloud.com"
export OPENONE_TOKEN_ENDPOINT="https://pingauth-eu1.alteryxcloud.com/as"
export OPENONE_CLIENT_ID="your_client_id_here"
export OPENONE_ACCESS_TOKEN="your_access_token_here"
export OPENONE_REFRESH_TOKEN="your_refresh_token"
# Optional
export OPENONE_PERSISTENT_FOLDER="~/.openone"
export OPENONE_VERIFY_SSL=1

Configuration File

Create a .env file in your project root:

OPENONE_API_BASE_URL=https://api.eu1.alteryxcloud.com
OPENONE_TOKEN_ENDPOINT=https://pingauth-eu1.alteryxcloud.com/as
OPENONE_CLIENT_ID=your_client_id_here
OPENONE_ACCESS_TOKEN=your_access_token_here
OPENONE_REFRESH_TOKEN=your_refresh_token
OPENONE_PERSISTENT_FOLDER=~/.openone
OPENONE_VERIFY_SSL=1

API Client Usage

Basic Usage

import client
from client.rest import ApiException
from pprint import pprint

# Configure the client
configuration = client.Configuration()
api_instance = client.ScheduleApi(client.ApiClient(configuration))

try:
    # List all schedules
    schedules = api_instance.list_schedules()
    print(f"Found {len(schedules)} schedules")
    
    # Get a specific schedule
    schedule = api_instance.get_schedule(schedule_id="12345")
    pprint(schedule)
    
except ApiException as e:
    print(f"API Error: {e}")

MCP Available Tools

The MCP server provides comprehensive access to Alteryx Analytics Cloud through organized tool categories:

Schedule Management Tools

Tool	Description	Parameters
list_schedules	List all schedules in the workspace	None
get_schedule	Get details of a specific schedule	schedule_id
delete_schedule	Delete a schedule by ID	schedule_id
enable_schedule	Enable a schedule by ID	schedule_id
disable_schedule	Disable a schedule by ID	schedule_id
count_schedules	Get the count of schedules in workspace	None

Plan Management Tools

Tool	Description	Parameters
list_plans	List all plans in current workspace	None
get_plan	Get a plan by plan ID	plan_id
delete_plan	Delete a plan by plan ID	plan_id
get_plan_schedules	Get schedules for a plan by plan ID	plan_id
run_plan	Run a plan by plan ID	plan_id
count_plans	Get the count of plans in workspace	None

Workspace Management Tools

Tool	Description	Parameters
list_workspaces	List all available workspaces	None
get_current_workspace	Get current workspace that user is in	None
get_workspace_configuration	Get workspace configuration by workspace ID	workspace_id
list_workspace_users	List users in a workspace by workspace ID	workspace_id
list_workspace_admins	List admins in a workspace by workspace ID	workspace_id

User Management Tools

Tool	Description	Parameters
get_current_user	Get current user information	None
get_user	Get user details by user ID	user_id

Dataset Management Tools

Tool	Description	Parameters
list_datasets	List all datasets accessible to current user	None
get_dataset	Get dataset details by dataset ID	dataset_id

Wrangled Dataset Management Tools

Tool	Description	Parameters
list_wrangled_datasets	List all wrangled datasets (produced by workflows)	None
get_wrangled_dataset	Get wrangled dataset by wrangled dataset ID	wrangled_dataset_id
get_inputs_for_wrangled_dataset	Get input datasets for wrangled dataset by wrangled dataset ID	wrangled_dataset_id

⚙️ Workflow Management Tools

Tool	Description	Parameters
list_workflows	List all workflows accessible to current user	None
get_workflow	Get workflow details by workflow ID	workflow_id
run_workflow	Run a workflow by workflow ID	workflow_id

Job Management Tools

Tool	Description	Parameters
list_job_groups	List all job groups accessible to current user	None
get_job_group	Get job group details by job ID	job_id
get_job_status	Get status of a job by job ID	job_id
get_job_input	Get all input datasets of a job by job ID	job_id
get_job_output	Get all output datasets of a job by job ID	job_id

Example Usage with Claude

Here are some example queries you can use with Claude once the MCP server is configured:

Schedule Management:

• "List all my schedules and show me which ones are currently enabled"
• "Get details for schedule ID 12345 and tell me when it last ran"
• "Disable the schedule with ID 67890 temporarily"
• "Delete the schedule named 'old-workflow-schedule'"

Plan Management:

• "Show me all my plans and their current status"
• "Run the plan with ID abc123 and monitor its progress"
• "Get the schedules associated with my data processing plan"

Workspace & User Management:

• "List all workspaces I have access to"
• "Show me all users in workspace ws-456 and their roles"
• "Get my current user profile and permissions"

Data Management:

• "List all my datasets and show their sizes"
• "Show me all my wrangled datasets and their input sources"
• "Get details about dataset ds-456 and its metadata"

Workflows & Jobs:

• "List all my workflows and show which ones are active"
• "Run workflow wf-789 and monitor its execution"
• "Show me all job groups and their current status"
• "Get the input and output datasets for job job-123"

Tool Summary

Category	Tool Count	Key Operations
Schedule Management	6 tools	List, Get, Delete, Enable, Disable, Count
Plan Management	6 tools	List, Get, Delete, Run, Get Schedules, Count
Workspace Management	5 tools	List, Get Current, Get Config, List Users/Admins
User Management	2 tools	Get Current User, Get User by ID
Dataset Management	2 tools	List, Get by ID
Wrangled Dataset Management	3 tools	List, Get, Get Inputs
Workflow Management	3 tools	List, Get, Run
Job Management	5 tools	List, Get, Status, Get Inputs/Outputs
Total	25 tools	Complete Alteryx Platform integration

Contributing

We welcome contributions! Here's how you can help:

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.