Power-Platform-Mcp-Development
Power-Platform-Mcp-Development是一款code方向的AI技能,核心价值是Instructions for developing Power Platform custom connectors with Model Context Protocol (MCP) integration for Microsoft Copilot Studio,可用于解决开发者在code领域的实际问题,帮助用户提升效率、自动化重复任务或优化工作流。
Instructions for developing Power Platform custom connectors with Model Context Protocol (MCP) integration for Microsoft Copilot Studio
mkdir -p ./skills/power-platform-mcp-development && curl -sfL https://raw.githubusercontent.com/github/awesome-copilot/main/skills/power-platform-mcp-development/SKILL.md -o ./skills/power-platform-mcp-development/SKILL.md Run in terminal / PowerShell. Requires curl (Unix) or PowerShell 5+ (Windows).
Skill Content
# Power Platform MCP Custom Connector Development
Instructions
MCP Protocol Integration
- Always implement JSON-RPC 2.0 standard for MCP communication
- Use `x-ms-agentic-protocol: mcp-streamable-1.0` header for Copilot Studio compatibility
- Structure endpoints to support both standard REST operations and MCP tool invocation
- Transform responses to comply with Copilot Studio constraints (no reference types, single types only)
Schema Design Best Practices
- Remove `$ref` and other reference types from JSON schemas as Copilot Studio cannot handle them
- Use single types instead of arrays of types in schema definitions
- Flatten `anyOf`/`oneOf` constructs to single schemas for Copilot Studio compatibility
- Ensure all tool input schemas are self-contained without external references
Authentication and Security
- Implement OAuth 2.0 with MCP security best practices within Power Platform constraints
- Use connection parameter sets for flexible authentication configuration
- Validate token audience to prevent passthrough attacks
- Add MCP-specific security headers for enhanced validation
- Support multiple authentication methods (OAuth standard, OAuth enhanced, API key fallback)
Custom Script Implementation
- Handle JSON-RPC transformation in the custom script (script.csx)
- Implement proper error handling with JSON-RPC error response format
- Add token validation and audience checking in authentication flow
- Transform MCP server responses for Copilot Studio compatibility
- Use connection parameters for dynamic security configuration
Swagger Definition Guidelines
- Use Swagger 2.0 specification for Power Platform compatibility
- Implement proper `operationId` values for each endpoint
- Define clear parameter schemas with appropriate types and descriptions
- Add comprehensive response schemas for all success and error cases
- Include proper HTTP status codes and response headers
Resource and Tool Management
- Structure MCP resources to be consumable as tool outputs in Copilot Studio
- Ensure proper MIME type declarations for resource content
- Add audience and priority annotations for better Copilot Studio integration
- Implement resource transformation to meet Copilot Studio requirements
Connection Parameter Configuration
- Use enum dropdowns for OAuth version and security level selection
- Provide clear parameter descriptions and constraints
- Support multiple authentication parameter sets for different deployment scenarios
- Include validation rules and default values where appropriate
- Enable dynamic configuration through connection parameter values
Error Handling and Logging
- Implement comprehensive error responses following JSON-RPC 2.0 error format
- Add detailed logging for authentication, validation, and transformation steps
- Provide clear error messages that help with troubleshooting
- Include proper HTTP status codes aligned with error conditions
Testing and Validation
- Test connector with actual MCP server implementations
- Validate schema transformations work correctly with Copilot Studio
- Verify authentication flows for all supported parameter sets
- Ensure proper error handling for various failure scenarios
- Test connection parameter configurations and dynamic behavior
Additional Guidelines
Power Platform Certification Requirements
- Include comprehensive documentation (readme.md, CUSTOMIZE.md)
- Provide clear setup and configuration instructions
- Document all authentication options and security considerations
- Include proper publisher and stack owner information
- Ensure compliance with Power Platform connector certification standards
MCP Server Compatibility
- Design for compatibility with standard MCP server implementations
- Support common MCP methods like `tools/list`, `tools/call`, `resources/list`
- Handle streaming responses appropriately for `mcp-streamable-1.0` protocol
- Implement proper protocol negotiation and capability detection
#
🎯 Best For
- Claude users
- GitHub Copilot users
- Software engineers
- Development teams
- Tech leads
💡 Use Cases
- Code quality improvement
- Best practice enforcement
📖 How to Use This Skill
- 1
Install the Skill
Copy the install command from the Terminal tab and run it. The SKILL.md file downloads to your local skills directory.
- 2
Load into Your AI Assistant
Open Claude or GitHub Copilot and reference the skill. Paste the SKILL.md content or use the system prompt tab.
- 3
Apply Power-Platform-Mcp-Development to Your Work
Open your project in the AI assistant and ask it to apply the skill. Start with a small module to verify the output quality.
- 4
Review and Refine
Review AI suggestions before committing. Run tests, check for regressions, and iterate on the skill output.
❓ Frequently Asked Questions
Is Power-Platform-Mcp-Development compatible with Cursor and VS Code?
Yes — this skill works with any AI coding assistant including Cursor, VS Code with Copilot, and JetBrains IDEs.
Do I need specific dependencies for Power-Platform-Mcp-Development?
Check the install command and Works With section. Most code skills only require the AI assistant and your codebase.
How do I install Power-Platform-Mcp-Development?
Copy the install command from the Terminal tab and run it. The skill downloads to ./skills/power-platform-mcp-development/SKILL.md, ready to use.
Can I customize this skill for my team?
Absolutely. Edit the SKILL.md file to add team-specific instructions, examples, or workflows.
⚠️ Common Mistakes to Avoid
Skipping validation
Always test AI-generated code changes, even for simple refactors.
Missing dependency updates
Check if the skill requires updated dependencies or new packages.