AI-SDLC-MCP-Server
Local MCP server for static Python/TypeScript code audits, Playwright test generation, and SDLC health checks with a 0-100 quality score.
README
AI SDLC Quality Gate MCP Server
This is a personal learning project for exploring Model Context Protocol (MCP), static code analysis, QA automation, and practical SDLC quality gates.
It is designed to be a small, local-first reference implementation that can be used from Cursor, Claude Desktop, or Claude Code while experimenting with developer workflow automation.
Tool Highlights
| Tool | Outcome |
|---|---|
audit_code_quality |
Static Python/TypeScript security and reliability findings. |
generate_playwright_spec |
Executable async Playwright/Pytest test source. |
run_sdlc_healthcheck |
0-100 repository quality score and recommendations. |
Quickstart
python -m venv .venv
source .venv/bin/activate
python -m pip install -r requirements.txt
python -m src.server
python -m pytest -q
Cursor and Claude Integration
Copy mcp_config.json into Cursor or Claude Desktop's mcpServers configuration and replace cwd with this repository's absolute path. Claude Code can use the same command: python -m src.server.
Screenshots / GIF Guide
After connecting the server, capture one successful interaction for each tool and save the assets under docs/assets/.
Safety Boundaries
The server performs local static analysis only. It does not execute target code, need credentials, call an LLM, or use a network API.
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