{
  "name": "mcp-m365-copilot",
  "description": "Comprehensive collection for building declarative agents with Model Context Protocol integration for Microsoft 365 Copilot",
  "version": "1.0.0",
  "author": {
    "name": "Awesome Copilot Community"
  },
  "repository": "https://github.com/github/awesome-copilot",
  "license": "MIT",
  "tags": [
    "mcp",
    "m365-copilot",
    "declarative-agents",
    "api-plugins",
    "model-context-protocol",
    "adaptive-cards"
  ],
  "display": {
    "show_badge": true
  },
  "items": [
    {
      "path": "prompts/mcp-create-declarative-agent.prompt.md",
      "kind": "prompt"
    },
    {
      "path": "prompts/mcp-create-adaptive-cards.prompt.md",
      "kind": "prompt"
    },
    {
      "path": "prompts/mcp-deploy-manage-agents.prompt.md",
      "kind": "prompt"
    },
    {
      "path": "instructions/mcp-m365-copilot.instructions.md",
      "kind": "instruction"
    },
    {
      "path": "agents/mcp-m365-agent-expert.agent.md",
      "kind": "agent",
      "usage": "recommended\n\nThis chat mode provides expert guidance for building MCP-based declarative agents for Microsoft 365 Copilot.\n\nThis chat mode is ideal for:\n- Creating new declarative agents with MCP integration\n- Designing Adaptive Cards for visual responses\n- Configuring OAuth 2.0 or SSO authentication\n- Setting up response semantics and data extraction\n- Troubleshooting deployment and governance issues\n- Learning MCP best practices for M365 Copilot\n\nTo get the best results, consider:\n- Using the instruction file to set context for all Copilot interactions\n- Using prompts to generate initial agent structure and configurations\n- Switching to the expert chat mode for detailed implementation help\n- Providing specific details about your MCP server, tools, and business scenario"
    }
  ]
}