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I turned 243 agent prompts into a free MCP server for ChatGPT, Claude and Cursor

Most of us keep rewriting the same prompts: "review this like a senior engineer", "plan this feature", "write tests for this". So I packaged 243 of them (13 categories: planning, testing, code review, performance, architecture, security, docs…) behind one MCP URL: https://hamza-agent-hub-mcp.loukilihamza78.workers.dev/mcp Add it to ChatGPT (custom MCP server), Claude (custom connector) or Cursor…

Most users often repeat the same prompts when working with AI tools like ChatGPT, Claude, or Cursor. To address this issue, the author created and packaged 243 prompts across 13 categories such as planning, testing, code review, performance, architecture, security, and documentation. These prompts are accessible through a single URL: https://hamza-agent-hub-mcp.loukilihamza78.workers.dev/mcp.

Users can easily integrate this URL into their preferred AI platforms, including ChatGPT, Claude, or Cursor, to enhance their experience.

To use the hub in ChatGPT, users can add it as a custom MCP server by navigating to Settings → Plugins → Add custom MCP server, pasting the provided URL, and leaving authentication settings at None. Claude users can add the hub as a custom connector by heading to Settings → Connectors → Add custom connector, pasting the URL, and also setting authentication to None. Claude Code users can add the hub by editing their ~/.cursor/mcp.json file and adding the server information within the mcpServers section.

Once integrated, users can leverage the hub's functionality by issuing commands such as "Use the security auditor agent on this route." The hub provides four read-only tools - list_categories, search_agents, get_agent, and run_agent_prompt - which enable users to organize prompts, search agents by keyword or category, retrieve full role prompts for specific agents, and generate ready-to-use prompts based on agent roles and user tasks.

This allows users to harness the power of AI while maintaining control and organization over their workflows.

Written by urgent.news from Dev.to's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.

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