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Model work domains, score tasks for AI suitability, and design organisations.
Model work domains, score tasks for AI suitability, and design organisations.
Valid MCP server (1 strong, 10 medium validity signals). 3 known CVEs in dependencies (0 critical, 3 high severity) ⚠️ Package registry links to a different repository than scanned source. Imported from the Official MCP Registry.
7 files analyzed · 4 issues found
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Set these up before or after installing:
Environment variable: SYSTEMONOMIC_API_KEY
Add this to your MCP configuration file:
{
"mcpServers": {
"io-github-tonyc23-systemonomic-mcp": {
"env": {
"SYSTEMONOMIC_API_KEY": "your-systemonomic-api-key-here"
},
"args": [
"systemonomic-mcp"
],
"command": "uvx"
}
}
}From the project's GitHub README.
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.).
pip install systemonomic-mcp
sk_sys_) — it's shown only onceSet 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"
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"
}
}
}
}
In Cursor Settings → MCP Servers, add each server:
systemonomic-wdapython -m systemonomic_mcp.wda_serverSYSTEMONOMIC_API_KEY=sk_sys_...Repeat for atss_server and org_server.
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 |
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
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
You: Create a PDF report for the procurement project.
Claude: Uses
generate_pdf_report→ saves the PDF
# 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
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