AutoDev MCP

AutoDev MCP

A dual-track testing server that combines CLI test execution with Playwright-based browser testing and persistent SQLite logging. It enables automated test pipelines, Git integration, and evidence-based requirement generation to streamline the development lifecycle.

Category
Visit Server

README

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 replaced
  • Adds browser test flow (browser_* tools) via Playwright + CDP events
  • Persists everything to SQLite:
    • sessions
    • logs (cli/browser/console/error/network/assertion)
    • screenshots
  • Supports combined execution via run_pipeline
  • After pipeline completion, automatically provides 10 requirement/optimization directions (中文输出)

Install

npm install
npm run build

Run MCP server (stdio)

npm run start

For local development:

npm run dev

Optional 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_tests
  • generate_tests (stub)
  • fix_failures (stub)

Browser track (new, additional)

  • browser_open
  • browser_navigate
  • browser_interact
  • browser_assert
  • browser_screenshot
  • browser_get_console
  • browser_get_errors
  • browser_get_network
  • browser_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_logs
  • test_compare_sessions

Example workflow

  1. Run original tests:
    • call run_tests
  2. Start browser session:
    • call browser_open with URL
  3. Interact and assert:
    • browser_interact
    • browser_assert
  4. Capture screenshot if needed:
    • browser_screenshot
  5. Close and finalize summary:
    • browser_close
  6. Query persisted logs:
    • test_get_session_logs
  7. 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 compact
  • compact: 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_tests and fix_failures are 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).

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured