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MCP server · Other

openone

Unclaimed last commit 11 months ago other
30Low

Scored 6 months ago · breakdown

About openone

openone is an MCP server published by jupiterbak in the Other category.

The repository has 1 stars and 1 forks, with the last commit 11 months ago. Six months or more without a commit doesn't mean the server is broken, but check the open issues before depending on it in production.

Install

From source
git clone https://github.com/jupiterbak/openone

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

Tools (6)

count_schedulesGet the count of schedules in workspace

Parameters not published.

delete_scheduleDelete a schedule by ID

Parameters not published.

disable_scheduleDisable a schedule by ID

Parameters not published.

enable_scheduleEnable a schedule by ID

Parameters not published.

get_scheduleGet details of a specific schedule

Parameters not published.

list_schedulesList all schedules in the workspace

Parameters not published.

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README

OpenOne

Unofficial MCP Server & API Client for Alteryx Analytics Cloud Platform

MCP Compatible

⚠️ 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.

Made with ❤️ for the Alteryx Community

GitHub stars GitHub forks

README copy captured when this server was indexed; it may lag the repository. The original is authoritative.

Questions

About openone

How do I install openone?

No package has been published for this server, so install it from source: clone the repository and follow its README.

Is openone safe to use with an AI agent?

Its trust score is 30 out of 100 (low). It passes 1 of the 1 static security checks run so far. It has no ConduID identity yet, so agent calls to it are not receipted.

Is openone still maintained?

The last commit was 11 months ago. That's long enough that you should check whether the maintainer is responding to issues before depending on it.