systemonomic-mcp 0.1.1

MCP servers for Systemonomic — Work Domain Analysis, ATSS, and Org Design

Systemonomic MCP Servers

MCP (Model Context Protocol) servers that expose Systemonomic's Work Domain Analysis, ATSS assessment, and organizational design capabilities to AI agents (Claude Desktop, Cursor, Claude Code, etc.).

Quick Start

1. Install

cd mcp
pip install -e ".[cli]"

Or install dependencies directly:

pip install "mcp[cli]" httpx

2. Get an API Key

1. Log in to Systemonomic
2. Go to Profile → API Keys
3. Click Generate API Key
4. Copy the key (starts with sk_sys_) — it's shown only once

3. Configure

Set the environment variable:

export SYSTEMONOMIC_API_KEY="sk_sys_your_key_here"

Optionally, point to a different API endpoint (defaults to production):

export SYSTEMONOMIC_API_URL="https://your-dev-backend.up.railway.app"

4. Add to Claude Desktop

Add to your claude_desktop_config.json:

{
  "mcpServers": {
    "systemonomic-wda": {
      "command": "python",
      "args": ["-m", "systemonomic_mcp.wda_server"],
      "env": {
        "SYSTEMONOMIC_API_KEY": "sk_sys_your_key_here"
      }
    },
    "systemonomic-atss": {
      "command": "python",
      "args": ["-m", "systemonomic_mcp.atss_server"],
      "env": {
        "SYSTEMONOMIC_API_KEY": "sk_sys_your_key_here"
      }
    },
    "systemonomic-org": {
      "command": "python",
      "args": ["-m", "systemonomic_mcp.org_server"],
      "env": {
        "SYSTEMONOMIC_API_KEY": "sk_sys_your_key_here"
      }
    }
  }
}

5. Add to Cursor

In Cursor Settings → MCP Servers, add each server:

• Name: systemonomic-wda
• Command: python -m systemonomic_mcp.wda_server
• Environment: SYSTEMONOMIC_API_KEY=sk_sys_...

Repeat for atss_server and org_server.

Available Servers

systemonomic-wda — Work Domain Analysis

Tool	Description
list_projects	List all projects
get_project_state	Get complete project state
create_project	Create a new project
get_project_stats	Get project statistics
list_wda_nodes	List WDA nodes
create_wda_node	Create a node at a WDA level
update_wda_node	Update a node's label/level/description
delete_wda_node	Delete a node
list_wda_links	List means-ends links
create_wda_link	Link two nodes
delete_wda_link	Remove a link
generate_wda	AI-generate a full WDA from a text description
export_project	Export project as JSON
import_wda	Import nodes and links

systemonomic-atss — Assessment & Tasks

Tool	Description
list_tasks	List project tasks
create_task	Create a task
generate_tasks_from_wda	Auto-generate tasks from WDA Objects
derive_task_suggestions	AI-derived task suggestions
list_suggestions	List pending suggestions
accept_suggestions	Promote suggestions to tasks
run_atss_batch	Run ATSS assessment on all tasks
get_atss_results	Get stored assessment results
persist_atss_results	Save assessment results
list_atss_runs	List assessment run history

systemonomic-org — Organizational Design

Tool	Description
get_org_design	Get current roles, org units, allocations
persist_org_design	Save org design
propose_restructure	AI-generated restructure proposal
apply_proposal	Apply a restructure proposal
validate_raci	Validate RACI matrix
create_org_snapshot	Create version snapshot
list_org_snapshots	List snapshots
export_org_design_json	Export as JSON
generate_pdf_report	Generate comprehensive PDF report
get_report_status	Check report readiness

Example Conversations

"Help me model our procurement process"

You: Generate a WDA for our university procurement department. They handle purchase requests, vendor management, contract negotiation, and compliance with government regulations.

Claude: Uses create_project → generate_wda → returns the generated hierarchy

"Assess which tasks can be automated"

You: For the procurement project, derive tasks from the WDA and run an automation assessment.

Claude: Uses generate_tasks_from_wda → run_atss_batch → summarizes automation candidates

"Generate the full report"

You: Create a PDF report for the procurement project.

Claude: Uses generate_pdf_report → saves the PDF

Development

# Run a server locally for testing
cd mcp
pip install -e .
SYSTEMONOMIC_API_KEY=sk_sys_... python -m systemonomic_mcp.wda_server

# Use the MCP inspector
SYSTEMONOMIC_API_KEY=sk_sys_... mcp dev src/systemonomic_mcp/wda_server.py