Provides tools for managing Git repositories, enabling the AI to summarize current status and automatically commit code changes upon the completion of features or test pipelines.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@AutoDev MCPrun the test pipeline and generate optimization directions"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
AutoDev MCP (Dual-Track Testing)
AutoDev MCP is a TypeScript MCP server that keeps your original CLI testing and adds an extra Chrome Dev (browser) testing track with persistent logs.
What it does
Keeps original test flow via CLI (
run_tests) - not replacedAdds browser test flow (
browser_*tools) via Playwright + CDP eventsPersists everything to SQLite:
sessions
logs (cli/browser/console/error/network/assertion)
screenshots
Supports combined execution via
run_pipelineAfter pipeline completion, automatically provides 10 requirement/optimization directions (中文输出)
Install
npm install
npm run buildRun MCP server (stdio)
npm run startFor local development:
npm run devOptional config: autodev.config.json
{
"projectRoot": ".",
"storage": {
"databasePath": ".autodev/logs/autodev.db",
"screenshotsDir": ".autodev/logs/screenshots"
},
"commands": {
"test": "npm test"
},
"browser": {
"headless": true,
"timeoutMs": 15000
},
"pipeline": {
"maxIterations": 3
},
"compact": {
"enabled": true,
"warningThreshold": 0.8,
"compactThreshold": 1.0,
"estimatedMaxChars": 120000
},
"git": {
"enabled": true,
"autoCommitOnFeatureComplete": true,
"defaultCommitPrefix": "feat",
"protectSensitiveFiles": true,
"sensitiveFilePatterns": [
"(^|/)\\.env(\\..*)?$",
"(^|/)credentials\\.json$",
"(^|/)secret(s)?(\\.|$)",
"(^|/).+\\.pem$",
"(^|/).+\\.key$"
]
}
}Tool overview
CLI track (original)
run_testsgenerate_tests(stub)fix_failures(stub)
Browser track (new, additional)
browser_openbrowser_navigatebrowser_interactbrowser_assertbrowser_screenshotbrowser_get_consolebrowser_get_errorsbrowser_get_networkbrowser_close
Orchestration/query
run_pipeline(CLI first, browser optional)propose_requirements(always outputs 10 directions)check_compact(检查上下文占用并给出 none/warn/compact 建议)git_commit_feature(小功能完成后按策略提交 git)git_status_summary(查看当前仓库改动状态)test_get_session_logstest_compare_sessions
Example workflow
Run original tests:
call
run_tests
Start browser session:
call
browser_openwith URL
Interact and assert:
browser_interactbrowser_assert
Capture screenshot if needed:
browser_screenshot
Close and finalize summary:
browser_close
Query persisted logs:
test_get_session_logs
Generate next-cycle demand directions:
propose_requirements
run_pipeline also includes suggestedRequirements in the final output so you can directly pick your next approved requirement.
run_pipeline now also returns compactSuggestion:
none: 上下文充足,继续执行warn: 上下文超过预警阈值(默认 80%),建议当前小任务结束后 compactcompact: 上下文达到 compact 阈值(默认 100%),建议立即 compact
run_pipeline 现在也会在测试通过后尝试执行 gitCommit:
若目录是 git 仓库且存在可提交改动,会自动提交
若不是 git 仓库,自动跳过并给出原因
默认会拦截疑似敏感文件(如
.env、*.pem、*.key)
测试日志与截图位置
SQLite 数据库:
.autodev/logs/autodev.db截图目录:
.autodev/logs/screenshots
你可以通过 MCP 工具查看:
test_get_session_logs:按 sessionId 拉取日志、摘要、截图路径test_compare_sessions:对比两次测试结果
评分标准(需求方向)
每条方向的评分由以下字段组成:
impact:影响面(1-10)confidence:把握度(1-10)effort:工作量映射分值(S=2, M=5, L=8)
公式:
priorityScore = (impact × confidence) / effort
分数越高,优先级越高。
Notes
Browser track is explicitly additive and independent from original CLI tests.
generate_testsandfix_failuresare stubs in this version and intentionally logged for future extension.Requirement generation is evidence-based (sessions/logs/assertions/errors) and returns exactly 10 scored directions each cycle (中文输出).
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