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  3. Systemonomic β€” Work Domain Analysis & AI Task Suitability
Systemonomic β€” Work Domain Analysis & AI Task Suitability logo
Health: ActiveRecent health check succeeded.Last checked 9/22/2026, 11:32:26 PM

Systemonomic β€” Work Domain Analysis & AI Task Suitability

User RatingsBe the first to rate and review this MCP server! Enrichment pendingWe haven’t run our AI enrichment pass on this listing yet, so the overview, use cases, and FAQ below may be sparse or missing. We work through the catalog over time β€” check back soon.
View RepositoryVisit Website

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

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β€” or use 1-click editor setup below.

Add to CursorAdd to VS Code
Not yet automatically verified

We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag β€” we're steadily working through the catalog.

Manual Client & Custom JSON ConfigExpand JSON β–Ύ

Client Config & Setup

Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "systemonomic-work-domain-analysis-ai-task-suitability-2": {
      "command": "uvx",
      "args": [
        "systemonomic-mcp"
      ]
    }
  }
}

πŸ’‘ Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Directory Badge Claim listing AlternativesπŸ’» More in Developer Tools

Documentation Overview

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

Terminal
pip install systemonomic-mcp

2. Get an API Key

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

3. Configure

Set the environment variable:

server.ts
export SYSTEMONOMIC_API_KEY="sk_sys_your_key_here"

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

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

4. Add to Claude Desktop

Add to your claude_desktop_config.json:

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 β†’ 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 β€” 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 β€” 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 β€” 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 β†’ generate_wda β†’ 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 β†’ run_atss_batch β†’ summarizes automation candidates

"Generate the full report"

You: Create a PDF report for the procurement project.

Claude: Uses generate_pdf_report β†’ saves the PDF

Development

bash
# 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

Read the full README β†’View source on GitHub β†’

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Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks β€” not a rating.

Last commit
5mo ago
Most recent push to the default branch.
Directory activity
1 views
Config copies, upvotes, and views on AllMCPs.

Reviews

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Frequently Asked Questions about Systemonomic β€” Work Domain Analysis & AI Task Suitability

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "systemonomic-work-domain-analysis-ai-task-suitability": { "command": "uvx", "args": ["systemonomic-mcp"] } }

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Technical Specs & Signals

CategoryπŸ’»Developer Tools
More technical detailsExpand β–Ύ
TransportSTDIO
RuntimePython
Last updatedApr 13, 2026
5/6 checks healthy over the last 45d
Views1
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars0
GitHub Star CountTotal stargazers on GitHub representing community popularity (0 stars).
Last commit5mo ago
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on Apr 13, 2026
35Quality signal: Fair Β· 35/100How this signal is calculated β–Ύ
Server availabilityNot measured

Not scored for repo-hosted servers β€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools15/30
Adoption & activity1/15
Community engagement0/10

A guidance signal from public completeness & health data β€” not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

Supply-chain signal

No high-severity advisories surfaced by our automated scan.

Critical 0High 0Medium 0Low 0

Scanned 5d ago via OSV.dev Β· systemonomic-mcp (PyPI)

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