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AIForwardDeveloperChallenge

This is the repository for the AI Forward Developer Take-Home Challenge for CALMHSA. In this I built out an MCP Server that integrates into Claude Desktop and designed a few AI agents to utilize said MCP server

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AIForwardDeveloperChallenge

{"id":"1f96d554-87d0-4cde-b0f4-396544fcbb64","title":"AIForwardDeveloperChallenge","description":"Provides a setup guide for an MCP server, detailing installation, testing, and integration with Claude Desktop. This server leverages `fastmcp` to facilitate AI-driven development, supporting task management and logging, primarily designed for Python environments and tested within VSCode.","schemaDescription":"Describes the setup and operation of an MCP server utilizing the `fastmcp` package, including installation prerequisites, project structure, and integration steps for AI development environments like Claude Desktop. It supports task management and logging functionalities.","dateModified":"2026-04-03","author":"keidson299","authorGithub":"https://github.com/keidson299","license":"Unknown","transport":"stdio","language":"Python","difficulty":"beginner","tags":["mcp-server","python","fastmcp","claude-desktop","development-setup"],"tokenImpact":"Lightweight — typically under 500 tokens per call, low lockout risk.","useCases":["Set up a basic Model Context Protocol server quickly for local AI development.","Integrate AI coding assistants like Claude Desktop with custom MCP services.","Develop and test AI-driven task management and logging functionalities.","Learn the fundamentals of `fastmcp` package usage for server implementation.","Establish a local environment for AI development challenges or prototypes."],"exampleCommand":"pip install fastmcp","mcpConfig":"{\n \"mcpServers\": {\n \"developerChallengeServer\": {\n \"command\": \"python\",\n \"args\": [\"main.py\"],\n \"cwd\": \"/path/to/AIForwardDeveloperChallenge\"\n }\n }\n}","compatibility":["Google Antigravity IDE","Claude Desktop"],"copyButtonText":"Copy mcp_config.json","artifactsProduced":["Log files (mcpServer.log, work_log.json)","Task management data (tasks.json)"],"faq":[{"question":"What can you do with AIForwardDeveloperChallenge?","answer":"This resource provides a guide to setting up and running a local Model Context Protocol (MCP) server, executing tests, and integrating it with AI assistants like Claude Desktop for development challenges. It helps manage tasks and logs within a Python environment."},{"question":"Which AI assistants and IDEs are compatible with AIForwardDeveloperChallenge?","answer":"The server is designed to be compatible with Claude Desktop and any development environment that supports MCP, including Google Antigravity IDE. It has been built and tested primarily in VSCode."},{"question":"How do I install and configure AIForwardDeveloperChallenge?","answer":"First, create necessary directories (`logs`) and files (`tasks.json`, `logs/work_log.json`). Then, install the `fastmcp` package using `pip install fastmcp`. Finally, run the MCP server by executing `python main.py` in a PowerShell terminal."}]}

AIForwardDeveloperChallenge

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AIForwardDeveloperChallenge

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