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mcp-copilot-studio-server-generatorMCP GitHub Copilot studio server 生成器

Agent Skill

mcp-copilot-studio-server-generator 用于记录任务执行中的错误、用户纠正、经验和能力缺口,适合在 Codex、Claude、Cursor、Gemini CLI 中希望让 Agent 持续沉淀问题、修正和最佳实践时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

195,216

周安装

8,282

GitHub Stars

31,663

下载量

68,392
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:mcp-copilot-studio-server-generator(MCP GitHub Copilot studio server 生成器)
来源仓库:https://github.com/github/awesome-copilot
仓库路径:skills/mcp-copilot-studio-server-generator
安装命令:
npx skills add https://github.com/github/awesome-copilot --skill mcp-copilot-studio-server-generator
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/github/awesome-copilot --skill mcp-copilot-studio-server-generator

简介

使用 Power Platform 连接器标准生成针对 Copilot Studio 优化的完整 MCP 服务器实施。

  • 使用 x-ms-agentic-protocol 生成遵循 Power Platform 连接器结构的所有必需文件(apiDefinition.swagger.json、apiProperties.json、script.csx 和 MCP 服务器代码):mcp-streamable-1.0
  • 支持
  • 强制执行 Copilot Studio 架构约束:无引用类型、仅限单一类型字段、原始类型和完整 URI 端点以确保兼容性
  • 在 /mcp 生成符合 JSON-RPC 2.0 标准的工具、资源(作为工具输出)和可流传输的 HTTP 端点
  • 具有适当的错误处理
  • 包括 Power Platform 环境和 Copilot Studio 代理集成的验证清单和部署配置

SKILL.md

Power Platform MCP Connector Generator

Generate a complete Power Platform custom connector with Model Context Protocol (MCP) integration for Microsoft Copilot Studio. This prompt creates all necessary files following Power Platform connector standards with MCP streamable HTTP support.

Instructions

Create a complete MCP server implementation that:

  1. Uses Copilot Studio MCP Pattern:

- Implement x-ms-agentic-protocol: mcp-streamable-1.0 - Support JSON-RPC 2.0 communication protocol - Provide streamable HTTP endpoint at /mcp - Follow Power Platform connector structure

  1. Schema Compliance Requirements:

- NO reference types in tool inputs/outputs (filtered by Copilot Studio) - Single type values only (not arrays of multiple types) - Avoid enum inputs (interpreted as string, not enum) - Use primitive types: string, number, integer, boolean, array, object - Ensure all endpoints return full URIs

  1. MCP Components to Include:

- Tools: Functions for the language model to call (✅ Supported in Copilot Studio) - Resources: File-like data outputs from tools (✅ Supported in Copilot Studio - must be tool outputs to be accessible) - Prompts: Predefined templates for specific tasks (❌ Not yet supported in Copilot Studio)

  1. Implementation Structure: /apiDefinition.swagger.json (Power Platform connector schema) /apiProperties.json (Connector metadata and configuration) /script.csx (Custom code transformations and logic) /server/ (MCP server implementation) /tools/ (Individual MCP tools) /resources/ (MCP resource handlers)

Context Variables

  • Server Purpose: [Describe what the MCP server should accomplish]
  • Tools Needed: [List of specific tools to implement]
  • Resources: [Types of resources to provide]
  • Authentication: [Auth method: none, api-key, oauth2]
  • Host Environment: [Azure Function, Express.js, FastAPI, etc.]
  • Target APIs: [External APIs to integrate with]

Expected Output

Generate:

  1. apiDefinition.swagger.json with:

- Proper x-ms-agentic-protocol: mcp-streamable-1.0 - MCP endpoint at POST /mcp - Compliant schema definitions (no reference types) - McpResponse and McpErrorResponse definitions

  1. apiProperties.json with:

- Connector metadata and branding - Authentication configuration - Policy templates if needed

  1. script.csx with:

- Custom C# code for request/response transformations - MCP JSON-RPC message handling logic - Data validation and processing functions - Error handling and logging capabilities

  1. MCP Server Code with:

- JSON-RPC 2.0 request handler - Tool registration and execution - Resource management (as tool outputs) - Proper error handling - Copilot Studio compatibility checks

  1. Individual Tools that:

- Accept only primitive type inputs - Return structured outputs - Include resources as outputs when needed - Provide clear descriptions for Copilot Studio

  1. Deployment Configuration for:

- Power Platform environment - Copilot Studio agent integration - Testing and validation

Validation Checklist

Ensure generated code:

  • No reference types in schemas
  • All type fields are single types
  • Enum handling via string with validation
  • Resources available through tool outputs
  • Full URI endpoints
  • JSON-RPC 2.0 compliance
  • Proper x-ms-agentic-protocol header
  • McpResponse/McpErrorResponse schemas
  • Clear tool descriptions for Copilot Studio
  • Generative Orchestration compatible

Example Usage

Server Purpose: Customer data management and analysis
Tools Needed:
  - searchCustomers
  - getCustomerDetails
  - analyzeCustomerTrends
Resources:
  - Customer profiles
  - Analysis reports
Authentication: oauth2
Host Environment: Azure Function
Target APIs: CRM System REST API

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

34.94%
按下载量换算23,896

Claude

29.67%
按下载量换算20,292

Cursor

18.17%
按下载量换算12,427

Gemini CLI

9.04%
按下载量换算6,183

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

external-service

该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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