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Home/Servers/Systemonomic — Work Domain Analysis & AI Task Suitability

Systemonomic — Work Domain Analysis & AI Task Suitability

by io.github.TonyC23

Model work domains, score tasks for AI suitability, and design organisations.

Power your agent

Add this server

The publisher's own command. Not a PlugMCP endpoint.

Local command
uvx systemonomic-mcp==0.1.1
Credentials from the publisher
  • SYSTEMONOMIC_API_KEY — Your Systemonomic API key (generate at systemonomic.com/profile)
Provider
Claude Code
SYSTEMONOMIC_API_KEY=<secret> claude mcp add io.github.tonyc23-systemonomic-mcp -- uvx systemonomic-mcp==0.1.1

Run in a terminal.

Claude Desktop
{
  "mcpServers": {
    "io.github.tonyc23-systemonomic-mcp": {
      "command": "uvx",
      "args": [
        "systemonomic-mcp==0.1.1"
      ],
      "env": {
        "SYSTEMONOMIC_API_KEY": "<secret>"
      }
    }
  }
}

claude_desktop_config.json

Step-by-step: add this in Claude

Remote URL or a command on your machine? How the two installs differ

Run on PlugMCP

Host a copy with our keys and logs.

A new server you create. It is not this listing's official endpoint. Use the publisher install when you want their URL and their credentials.

Launch

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Questions

How do I install Systemonomic — Work Domain Analysis & AI Task Suitability?
Copy the stdio config for Cursor, Claude Desktop, Claude Code, or VS Code on this page. It uses the publisher's install, not a PlugMCP proxy.
Does Systemonomic — Work Domain Analysis & AI Task Suitability need an API key?
The publisher lists these environment variables: SYSTEMONOMIC_API_KEY.
What transport does Systemonomic — Work Domain Analysis & AI Task Suitability use?
Systemonomic — Work Domain Analysis & AI Task Suitability runs locally over stdio.
When was Systemonomic — Work Domain Analysis & AI Task Suitability last checked?
Last checked 2026-10-16. Model work domains, score tasks for AI suitability, and design organisations.

Model work domains, score tasks for AI suitability, and design organisations.

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

pip install systemonomic-mcp

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

ToolDescription
list_projectsList all projects
get_project_stateGet complete project state
create_projectCreate a new project
get_project_statsGet project statistics
list_wda_nodesList WDA nodes
create_wda_nodeCreate a node at a WDA level
update_wda_nodeUpdate a node's label/level/description
delete_wda_nodeDelete a node
list_wda_linksList means-ends links
create_wda_linkLink two nodes
delete_wda_linkRemove a link
generate_wdaAI-generate a full WDA from a text description
export_projectExport project as JSON
import_wdaImport nodes and links

systemonomic-atss — Assessment & Tasks

ToolDescription
list_tasksList project tasks
create_taskCreate a task
generate_tasks_from_wdaAuto-generate tasks from WDA Objects
derive_task_suggestionsAI-derived task suggestions
list_suggestionsList pending suggestions
accept_suggestionsPromote suggestions to tasks
run_atss_batchRun ATSS assessment on all tasks
get_atss_resultsGet stored assessment results
persist_atss_resultsSave assessment results
list_atss_runsList assessment run history

systemonomic-org — Organizational Design

ToolDescription
get_org_designGet current roles, org units, allocations
persist_org_designSave org design
propose_restructureAI-generated restructure proposal
apply_proposalApply a restructure proposal
validate_raciValidate RACI matrix
create_org_snapshotCreate version snapshot
list_org_snapshotsList snapshots
export_org_design_jsonExport as JSON
generate_pdf_reportGenerate comprehensive PDF report
get_report_statusCheck 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
How do I install Systemonomic — Work Domain Analysis & AI Task Suitability?
Copy the stdio config for Cursor, Claude Desktop, Claude Code, or VS Code on this page. It uses the publisher's install, not a PlugMCP proxy.
Does Systemonomic — Work Domain Analysis & AI Task Suitability need an API key?
The publisher lists these environment variables: SYSTEMONOMIC_API_KEY.
What transport does Systemonomic — Work Domain Analysis & AI Task Suitability use?
Systemonomic — Work Domain Analysis & AI Task Suitability runs locally over stdio.
When was Systemonomic — Work Domain Analysis & AI Task Suitability last checked?
Last checked 2026-10-16. Model work domains, score tasks for AI suitability, and design organisations.

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