Model work domains, score tasks for AI suitability, and design organisations.
{
"mcpServers": {
"io-github-tonyc23-systemonomic-mcp": {
"command": "<see-readme>",
"args": []
}
}
}No install config available. Check the server's README for setup instructions.
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Model work domains, score tasks for AI suitability, and design organisations.
Is it safe?
No package registry to scan.
No authentication — any process on your machine can connect.
License not specified.
Is it maintained?
Last commit 2 days ago.
Will it work with my client?
Transport: stdio. Works with Claude Desktop, Cursor, Claude Code, and most MCP clients.
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 complia
No automated test available for this server. Check the GitHub README for setup instructions.
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