MCP server for Allstacks API - provides AI-ready interface to Allstacks metrics, projects, and analytics
Project description
Allstacks MCP Server
A comprehensive Model Context Protocol (MCP) server providing AI-ready access to the Allstacks API using HTTP Basic Authentication.
Overview
This MCP server exposes 208+ tools organized into 12 categories for comprehensive interaction with Allstacks:
Tool Categories
- Metrics & Analytics (18 tools): GMDTS data, Metrics V2, insight configs, population benchmarks, company metrics
- Service Items & Work Items (21 tools): Complete CRUD for work items, parent service items, property keys, estimation methods, notes, filter sets
- Users & Teams (23 tools): Full user management, invites, roles, team tags, personal access tokens, service users
- Organization & Projects (28 tools): Organizations, projects, settings, services, calendars, time periods, slots configuration
- Dashboards & Widgets (20 tools): Complete dashboard/widget CRUD, shared links, cloning, widget management
- Employee Analytics (9 tools): Employee metrics, cohorts, work items, timeline, summary, periods
- Forecasting & Planning (11 tools): V3 forecasts, velocity, scenarios, capacity planning, chart analysis
- Labels & Tagging (17 tools): Labels, label families, bulk operations, service item label assignment
- Alerts & Monitoring (16 tools): Alert rules, active alerts, notifications, subscriptions, preferences
- AI & Intelligence (18 tools): AI reports, Action AI code query, metric builder, pattern analysis, surveys, DX scores, AI tool usage
- Work Bundles (13 tools): Selectable work bundle management, forecasting, metrics, cloning
- 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
Installation
- Clone this repository
- Install dependencies using
uv:uv sync
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: Your credentials provide full access to your Allstacks account.
-
Use Environment Variables (Recommended)
export ALLSTACKS_USERNAME="your-username" export ALLSTACKS_PASSWORD="your-api-key"
-
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
-
Never commit credentials to version control
- The MCP client config file may contain credentials
- Keep config files in
.gitignore
-
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)
Recommendation: Consider using a dedicated Allstacks account with limited permissions for AI access.
Usage
Running the Server
uv run server.py --username YOUR_USERNAME --password YOUR_PASSWORD
Command-line options:
--usernameor-u: Username for HTTP Basic authentication (required)--passwordor-p: Password for HTTP Basic authentication (required)--base-urlor-b: Override the default API base URL (default:https://api.allstacks.com/api/v1/)
MCP Client Configuration
Add to your MCP client configuration (e.g., Claude Desktop's claude_desktop_config.json):
{
"mcpServers": {
"allstacks": {
"command": "uv",
"args": [
"--directory",
"/ABSOLUTE/PATH/TO/allstacks-mcp",
"run",
"server.py",
"--username",
"YOUR_USERNAME",
"--password",
"YOUR_PASSWORD"
]
}
}
}
Important Notes:
- Replace
/ABSOLUTE/PATH/TO/allstacks-mcpwith the full path to this directory - Replace
YOUR_USERNAMEandYOUR_PASSWORDwith your actual credentials - On macOS,
uvis typically located at~/.local/bin/uv- ensure it's in your PATH or use the full path - Claude Desktop doesn't inherit your shell's PATH, so using the full path to
uvis more reliable
Alternative Configuration (Direct Python)
If you prefer to use Python directly from a virtual environment:
{
"mcpServers": {
"allstacks": {
"command": "/ABSOLUTE/PATH/TO/allstacks-mcp/.venv/bin/python",
"args": [
"/ABSOLUTE/PATH/TO/allstacks-mcp/server.py",
"--username",
"YOUR_USERNAME",
"--password",
"YOUR_PASSWORD"
]
}
}
}
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
Example Tool 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
)
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
)
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
- Create or update a tool file in
allstacks_mcp/tools/ - Follow the existing pattern for tool registration
- Include full docstrings with OpenAPI references
- Add the module to
allstacks_mcp/tools/__init__.py - Register it in
server.py'sregister_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.
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