English Français العربية

Systemonomic — Work Domain Analysis & AI Task Suitability

Registre officiel Productivité

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

Code source Site web Documentation

Installation

Ajoutez ceci à la configuration MCP de votre client (Claude Desktop : claude_desktop_config.json ; Cursor : .cursor/mcp.json ; VS Code et les autres utilisent la même forme « mcpServers »).

PYPI package systemonomic-mcp
Claude Code 
claude mcp add systemonomic-work-domain-analysis-ai-tas -e 'SYSTEMONOMIC_API_KEY=<your systemonomic_api_key>' -- uvx systemonomic-mcp==0.1.1
Configuration JSON (Claude Desktop, Cursor, VS Code) 
{
    "mcpServers": {
        "systemonomic-work-domain-analysis-ai-tas": {
            "command": "uvx",
            "args": [
                "systemonomic-mcp==0.1.1"
            ],
            "env": {
                "SYSTEMONOMIC_API_KEY": "<your systemonomic_api_key>"
            }
        }
    }
}

Variables d'environnement

  • SYSTEMONOMIC_API_KEY secret Your Systemonomic API key (generate at systemonomic.com/profile)

Documentation

Tirée du README du projet sur GitHub, actualisée chaque semaine. Les liens ouvrent GitHub.

Sommaire
  1. Systemonomic MCP Servers
  2. Quick Start
  3. Available Servers
  4. Example Conversations
  5. Development

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

Questions fréquentes

Qu'est-ce que Systemonomic — Work Domain Analysis & AI Task Suitability ?

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

Comment installer Systemonomic — Work Domain Analysis & AI Task Suitability ?

Il s'exécute sur votre machine. Dans Claude Code : claude mcp add systemonomic-work-domain-analysis-ai-tas -e 'SYSTEMONOMIC_API_KEY=<your systemonomic_api_key>' -- uvx systemonomic-mcp==0.1.1. Pour les autres clients, collez la configuration JSON de cette page dans leurs réglages MCP.

Faut-il une clé API pour Systemonomic — Work Domain Analysis & AI Task Suitability ?

Oui. Il attend SYSTEMONOMIC_API_KEY, à renseigner dans sa configuration.

Systemonomic — Work Domain Analysis & AI Task Suitability est-il open source ?

Son code est public sur GitHub, mais le dépôt ne déclare pas de licence standard.

Qui maintient Systemonomic — Work Domain Analysis & AI Task Suitability ?

Il est publié par TonyC23. AI.tn le référence sans le maintenir ni le recommander.

Issu du registre MCP officiel. Être listé n'est pas une recommandation : vérifiez le code et les permissions d'un serveur avant de lui donner accès à vos données.