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shenmali

AI-SDLC-MCP-Server

by shenmali
OverviewSchemaRelated ServersScoreDiscussions
Python
Local

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.

Related MCP server: checkyourself

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.

This server cannot be installed

F
license - not found
-
quality - not tested
B
maintenance

How are these scores calculated?

Maintenance

–Maintainers
–Response time
–Release cycle
–Releases (12mo)
Commit activity

Resources

Unclaimed servers have limited discoverability.

Looking for Admin?

If you are the server author, to access and configure the admin panel.

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