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Chrome DevTools MCP
Chrome DevTools for coding agents
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CodeRabbit"Automated summary for AI agents and search engines."
Chrome DevTools for coding agents
{
"title": "Chrome DevTools MCP",
"url": "https://github.com/ChromeDevTools/chrome-devtools-mcp",
"description": "Chrome DevTools MCP (Multi-Client Protocol) provides an essential framework for integrating advanced debugging and introspection capabilities of Chrome DevTools directly into coding agents. This allows for real-time monitoring, debugging, and interactive control over agent execution, making complex AI development more transparent and manageable. Within the Google Antigravity IDE, developers can leverage this integration to visualize agent states, step through code executed by agents, and analyze their decision-making processes, significantly enhancing productivity and reducing debugging cycles for AI-driven applications and services.",
"category": "MCP Servers",
"useCases": [
"Debugging and stepping through AI agent execution workflows.",
"Real-time introspection of agent state, memory, and task execution within a development environment.",
"Developing and testing new AI agent capabilities with immediate feedback via DevTools.",
"Analyzing performance bottlenecks and resource consumption of coding agents.",
"Building custom diagnostic tools and visualizations for complex agent systems."
],
"difficulty": "intermediate",
"exampleCommand": "docker run -p 9229:9229 --name devtools-mcp-server chrometools/mcp-server:latest",
"tokenImpact": "Low ~0 tokens per run for the protocol itself. Note: Agents developed or debugged using this protocol may incur significant token costs, especially during iterative development cycles, potentially impacting quotas and leading to a 7-day lockout for high-volume API calls.",
"tags": [
"DevTools",
"AI Agents",
"Debugging",
"Chrome",
"MCP",
"IDE Integration"
],
"copyButtonText": "Run DevTools MCP Server"
}🚀 The fast, Pythonic way to build MCP servers and clients.
MCP web search using perplexity without any API KEYS
一个基于 MCP (Model Context Protocol) 的邮件服务，支持 LLM 发送带附件的电子邮件及在指定目录中搜索文件。提供安全的 SMTP 传输、多收件人支持和附件模式匹配搜索功能，适用于 Gmail、Outlook、Yahoo、QQ 邮箱和网易 126 邮箱等主流邮箱服务。
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