Systemonomic — Work Domain Analysis & AI Task Suitability

io.github.TonyC23由 GitHub 帳號 TonyC23 發布v0.1.2更新於 Oct 24, 2026

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

概覽

AI 產生的概覽

一個本機 MCP 伺服器,讓助理透過 Systemonomic API 建立工作域模型、評估任務的 AI 適用性並設計組織結構。

可以做什麼
建立、檢視、更新、刪除及匯入匯出工作域分析專案、節點和手段-目的連結,並可依文字描述由 AI 產生完整工作域。產生、列出並採納任務與 AI 任務建議,執行 ATSS 評估並查看已儲存結果和執行歷史。讀取和儲存組織設計,提出並套用重組方案,驗證 RACI 矩陣,管理版本快照並產生 PDF 報告。
適用情境
適合梳理某個部門或流程的工作域、判斷哪些任務適合自動化或交給 AI,以及在助理協助下草擬和驗證組織結構與 RACI 矩陣。
執行需求
以 pip 安裝的 Python 套件在本機執行,分別啟動 wda、atss 和 org 三個伺服器模組。需要 Systemonomic 帳號,並透過環境變數 SYSTEMONOMIC_API_KEY 提供 API 金鑰;需要存取 Systemonomic API 的網路,可用 SYSTEMONOMIC_API_URL 指向其他端點。
安裝前請注意
API 金鑰是僅在產生時顯示一次的機密,應避免寫入共用設定檔。許多工具會寫入、修改或刪除 Systemonomic 帳號中的資料,包括刪除節點和連結、套用重組方案、儲存評估結果和組織設計。專案內容會傳送到 Systemonomic API 用於 AI 產生和評估。

安裝

在 SourceWeft 中

  1. 開啟 儀表板中的 Systemonomic — Work Domain Analysis & AI Task Suitability,將其新增到工作區。
  2. 為需要使用其工具的對話啟用該服務。

Desktop only,透過 STDIO。 STDIO 服務會啟動本機處理程序,因此需要 SourceWeft 桌面主機。

其他 MCP 客戶端

參照 儲存庫 中的啟動說明。

README

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

bash
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:

bash
export SYSTEMONOMIC_API_KEY="sk_sys_your_key_here"

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

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

4. Add to Claude Desktop

Add to your claude_desktop_config.json:

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

bash
# Run a server locally for testingcd mcppip install -e .SYSTEMONOMIC_API_KEY=sk_sys_... python -m systemonomic_mcp.wda_server
# Use the MCP inspectorSYSTEMONOMIC_API_KEY=sk_sys_... mcp dev src/systemonomic_mcp/wda_server.py

來源:README.md,提交 a307a7c

工具

0
SourceWeft 尚未在沙箱中啟動過該軟體包,因此其工具未知。

版本歷史

1
  1. v0.1.2最新Sep 16, 2026

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