Allstacks MCP Server

🚀 Allstacks MCP Server

A comprehensive Model Context Protocol (MCP) server providing AI-ready access to the Allstacks API using HTTP Basic Authentication.

🚀 Quick Start

To start using the Allstacks MCP Server, you first need to install it and then run the server.

Installation

1. Clone this repository
2. Install dependencies using uv:

   uv sync
   

Running the Server

uv run server.py --username YOUR_USERNAME --password YOUR_PASSWORD

Command-line options:

• --username or -u: Username for HTTP Basic authentication (required)
• --password or -p: Password for HTTP Basic authentication (required)
• --base-url or -b: Override the default API base URL (default: https://api.allstacks.com/api/v1/)

✨ Features

Comprehensive API Coverage

All tools are verified against the official Allstacks OpenAPI specification:

• ✅ All endpoints use correct paths and parameters
• ✅ Detailed parameter descriptions from official API docs
• ✅ Proper error handling and validation
• ✅ HTTP Basic Auth support
• ✅ Async/await for performance

Modular Architecture

Tools are organized into logical categories matching the Allstacks API structure:

• Easy to navigate and understand
• Clear separation of concerns
• Consistent patterns across all tools
• Well-documented with OpenAPI references

Rich Tool Descriptions

Every tool includes:

• Purpose and use case
• Required and optional parameters
• Expected return formats
• OpenAPI endpoint reference
• Example usage patterns

🔍 Overview

This MCP server exposes 208+ tools organized into 12 categories for comprehensive interaction with Allstacks:

Tool Categories

1. Metrics & Analytics (18 tools): GMDTS data, Metrics V2, insight configs, population benchmarks, company metrics
2. Service Items & Work Items (21 tools): Complete CRUD for work items, parent service items, property keys, estimation methods, notes, filter sets
3. Users & Teams (23 tools): Full user management, invites, roles, team tags, personal access tokens, service users
4. Organization & Projects (28 tools): Organizations, projects, settings, services, calendars, time periods, slots configuration
5. Dashboards & Widgets (20 tools): Complete dashboard/widget CRUD, shared links, cloning, widget management
6. Employee Analytics (9 tools): Employee metrics, cohorts, work items, timeline, summary, periods
7. Forecasting & Planning (11 tools): V3 forecasts, velocity, scenarios, capacity planning, chart analysis
8. Labels & Tagging (17 tools): Labels, label families, bulk operations, service item label assignment
9. Alerts & Monitoring (16 tools): Alert rules, active alerts, notifications, subscriptions, preferences
10. AI & Intelligence (18 tools): AI reports, Action AI code query, metric builder, pattern analysis, surveys, DX scores, AI tool usage
11. Work Bundles (13 tools): Selectable work bundle management, forecasting, metrics, cloning
12. Risk Management (14 tools): Risk definitions, project risks, assessment, trends, resolution

📁 Project Structure

allstacks-mcp/
├── server.py                    # Main entry point - 208+ tools
├── allstacks_mcp/
│   ├── __init__.py
│   ├── client.py               # HTTP Basic Auth client
│   └── tools/                  # Tool modules by category
│       ├── __init__.py
│       ├── metrics.py          # 18 metrics tools
│       ├── service_items.py    # 21 service item tools
│       ├── users_teams.py      # 23 user/team tools
│       ├── org_projects.py     # 28 org/project tools
│       ├── dashboards.py       # 20 dashboard tools
│       ├── employee.py         # 9 employee analytics tools
│       ├── forecasting.py      # 11 forecasting tools
│       ├── labels.py           # 17 label management tools
│       ├── alerts.py           # 16 alert/monitoring tools
│       ├── ai_analytics.py     # 18 AI & analytics tools
│       ├── work_bundles.py     # 13 work bundle tools
│       └── risk_management.py  # 14 risk management tools
├── pyproject.toml
├── uv.lock
├── FILTERED_ENDPOINTS.md       # Endpoint verification document
├── TOOLS_MAPPING.md            # Complete API mapping
├── ENDPOINT_VERIFICATION.md    # Verification results
└── README.md

🔑 Authentication & Security

Required Credentials

The server uses HTTP Basic Authentication to connect to the Allstacks API. You'll need:

• Username: Your Allstacks username or email address
• Password: Your Allstacks password or API key
• Base URL: (Optional) Default is https://api.allstacks.com/api/v1/

🔒 Security Best Practices

Credential Management

⚠️ Important Note: Your credentials provide full access to your Allstacks account.

1. Use Environment Variables (Recommended)

   export ALLSTACKS_USERNAME="your-username"
   export ALLSTACKS_PASSWORD="your-api-key"
   

2. Use Allstacks API Keys instead of passwords when possible

   • Generate API keys from your Allstacks account settings
   • API keys can be revoked without changing your password

3. Never commit credentials to version control

   • The MCP client config file may contain credentials
   • Keep config files in .gitignore

4. Rotate credentials regularly for enhanced security

Process Security

Note: Command-line arguments (--username, --password) are visible in process lists. For production use:

• Use environment variables
• Use secure configuration files
• Consider using a secrets management system

Data Access & Privacy

This MCP server acts as a pass-through to the Allstacks API:

• ✅ Does not store or log your credentials
• ✅ Does not cache API responses
• ✅ Does not persist any data locally
• ✅ Returns API data as-is without modification

AI Access: When used with AI assistants (e.g., Claude), the AI will have access to:

• All data accessible via your Allstacks credentials
• The same permissions as your Allstacks user account
• Ability to create, modify, and delete resources (depending on your permissions)

Usage Tip: Consider using a dedicated Allstacks account with limited permissions for AI access.

💻 Usage Examples

Basic Usage

Get GMDTS Metrics Data

# Get Generated Metric Data Time Series (GMDTS)
get_gmdts_data(
    project_id=123,
    metric_type="Velocity",
    start_date=1704067200000,
    end_date=1706745600000
)

List Work Items with Filtering

# List service items with filtering
list_service_items(
    item_type="CARD",
    limit=100,
    offset=0
)

Advanced Usage

Create AI Report

# Generate AI analysis report
create_ai_report(
    org_id=456,
    report_type="project_health",
    project_id=123
)

Forecast Work Bundle

# Get Monte Carlo forecast for work bundle
get_work_bundle_forecast(
    project_id=123,
    bundle_id=789,
    confidence_level=80
)

📚 Documentation

API Compatibility

This server is built against the official Allstacks API v1 specification and includes:

• Non-admin endpoints only (no destructive operations)
• Full CRUD for resources where appropriate
• Bulk operations for efficiency
• Proper pagination support
• Query parameter validation

Development

Adding New Tools

1. Create or update a tool file in allstacks_mcp/tools/
2. Follow the existing pattern for tool registration
3. Include full docstrings with OpenAPI references
4. Add the module to allstacks_mcp/tools/__init__.py
5. Register it in server.py's register_all_tools() function

Testing

# Run the server in development mode
uv run server.py --username test_user --password test_pass --base-url https://api-dev.allstacks.com/api/v1/

📄 License

MIT

🛠️ Support

For issues or questions about the Allstacks API, contact the Allstacks team. For issues specific to this MCP server, please file an issue in the repository.