MCP Servers

Aihappey Agents

Backend implementing the Agent Framework for orchestrating agent workflows and message exchange. Acts as a content and response wrapper between Vercel-based clients and Microsoft systems, providing structured request/response handling, routing, and lifecycle management without embedding AI logic itself.

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Aihappey Agents

{"id":"0229d13d-a4ee-4531-9b5c-e5f64f453301","title":"Aihappey Agents","description":"This MCP server provides access to a suite of specialized AI agents designed for various development tasks, allowing seamless integration into existing workflows. It enables developers to invoke agents for tasks such as code analysis, automated testing, documentation generation, and system monitoring, directly through natural language prompts within their development environment. The server acts as a central hub, managing agent lifecycle and ensuring secure, efficient execution of AI-driven operations, enhancing overall development efficiency.","dateModified":"2026-04-03","difficulty":"intermediate","tags":["ai-agents","workflow-automation","code-analysis","python","multi-agent-system"],"tokenImpact":"Heavy — can trigger 7-day lockout on Pro tier, use with caution.","schemaDescription":"Exposes a collection of specialized AI agents through the Model Context Protocol, enabling intelligent automation for code analysis, testing, documentation, and system monitoring within compatible IDEs. Facilitates complex task orchestration.","author":"achappey","authorGithub":"https://github.com/achappey","license":"Unknown","transport":"stdio","language":"Python","useCases":["Automate code reviews and generate suggestions for improvements using a dedicated AI agent.","Trigger automated test suites and interpret results through an intelligent testing agent.","Generate comprehensive documentation for codebases based on active development.","Monitor system logs and performance metrics, receiving AI-driven insights and alerts.","Orchestrate complex development tasks by chaining multiple specialized agents together."],"exampleCommand":"NONE","mcpConfig":"NONE","compatibility":["Google Antigravity IDE"],"copyButtonText":"Copy mcp_config.json","artifactsProduced":["Code review reports","Test results summaries","Generated documentation","System performance insights","Task execution logs"],"faq":[{"question":"What can you do with Aihappey Agents?","answer":"Aihappey Agents allow you to leverage specialized AI agents for a wide range of development tasks, including automated code analysis, testing, documentation generation, and system monitoring. You can invoke these agents directly within your IDE using natural language to streamline complex workflows."},{"question":"Which AI assistants and IDEs are compatible with Aihappey Agents?","answer":"Aihappey Agents are designed to work with Google Antigravity IDE and any other AI assistants that support the Model Context Protocol. The MCP server acts as an interface, making these specialized agents accessible across compliant development environments for advanced automation."},{"question":"How do I install and configure Aihappey Agents?","answer":"Installation typically involves setting up the Python environment, installing dependencies, and running the server script from the repository. Configuration might require defining agent parameters or integrating with external services. Refer to the project's documentation for precise installation and configuration instructions."}]}

Aihappey Agents

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Aihappey Agents

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