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CodeRabbitCreate AI Agents in a No-Code Visual Builder or TypeScript SDK with full 2-way sync. For shipping AI assistants and multi-agent AI workflows.
"Automated summary for AI agents and search engines."
Create AI Agents in a No-Code Visual Builder or TypeScript SDK with full 2-way sync. For shipping AI assistants and multi-agent AI workflows.
{"id":"eefabcf3-64b1-49b9-ba9a-9a098c80de39","title":"Agents","description":"The InKeep Agents repository offers a collection of pre-built and customizable AI agents designed to extend the capabilities of development environments, providing immediate access to specialized automation for various coding and project management tasks. These agents are built to integrate via Model Context Protocol, allowing for seamless command execution and contextual understanding.","schemaDescription":"A collection of AI agents and a framework for developing new ones, designed to be integrated into developer environments via the Model Context Protocol, offering automated assistance for coding, debugging, and project management tasks.","dateModified":"2026-04-03","author":"inkeep","authorGithub":"https://github.com/inkeep","license":"Apache 2.0","transport":"stdio","language":"Python","difficulty":"beginner","tags":["mcp-server","ai-agents","pre-built-agents","automation","python"],"tokenImpact":"Moderate — 1,000–3,000 tokens per call, monitor quota during lockouts.","useCases":["Deploy pre-configured agents to assist with code generation and refactoring.","Automate routine tasks like dependency updates and configuration checks.","Integrate agents that can perform security audits or compliance checks on codebases.","Use agents for intelligent search and retrieval of project documentation.","Customize existing agent behaviors to fit specific team workflows."],"exampleCommand":"NONE — manual verification required","mcpConfig":"NONE — manual verification required","compatibility":["Google Antigravity IDE"],"copyButtonText":"Copy mcp_config.json","artifactsProduced":["Agent interaction logs","Generated code snippets","Task completion status"],"faq":[{"question":"What can you do with Agents?","answer":"The InKeep Agents repository allows developers to leverage a suite of intelligent agents for diverse tasks such as code assistance, automated research, project management, and debugging. These agents can be invoked directly from the command line or integrated into IDEs to enhance productivity."},{"question":"Which AI assistants and IDEs are compatible with Agents?","answer":"InKeep Agents are designed to be run through the InKeep CLI, which can be invoked from any terminal. While direct MCP server integration is not immediately apparent, the agents themselves can be configured to interact with systems that support standard input/output, making them broadly compatible."},{"question":"How do I install and configure Agents?","answer":"To install, clone the repository and follow the setup instructions in the README, typically involving `pip install -e .` and `inkeep init`. Configuration involves defining agent personalities and tool access via YAML files. Running agents is done via `inkeep chat` from your terminal."}]}🚀 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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<a href="https://www.googleantigravity.directory/t/agents" target="_blank"><img src="https://www.googleantigravity.directory/api/badges/agents" alt="Featured on Antigravity: Agents" width="200" height="50" /></a>Copy-paste this snippet into your HTML to initialize the link.