Workflow MCP Server
Enables AI assistants to evaluate task complexity, verify package installation safety, and log complex reasoning processes. Provides structured assessment of multi-step tasks and environment validation for safer code execution workflows.
README
Workflow MCP Server
MCP server providing task evaluation, environment safety checks, and reasoning tools for AI assistants.
Features
- evaluate_task: Assess task complexity (4 criteria: multi-step, unclear requirements, subtasks, bug risk)
- env_verify: Validate package installation safety before execution
- think: Log complex reasoning processes
Installation
npm install
npm run build
Usage
Development
npm run dev
Production
npm start
Docker
docker build -t ai-workflow-mcp .
docker run ai-workflow-mcp
Configuration
Add to your MCP client config (e.g., Claude Desktop):
{
"mcpServers": {
"ai-workflow": {
"command": "node",
"args": ["/path/to/mcp/dist/server.js"]
}
}
}
Task Evaluation Criteria
Flags ≥ 2 → Build memory-bank/
- Multi-step? (requires multiple implementation steps)
- Unclear requirements? (needs clarification)
- Can break into subtasks? (independent components)
- Cannot guarantee bug-free? (high complexity/edge cases)
License
MIT
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