Power-Platform-Mcp-Development
Power-Platform-Mcp-Development is an code AI skill with a core value of Instructions for developing Power Platform custom connectors with Model Context Protocol (MCP) integration for Microsoft Copilot Studio. It
helps developers solve real-world problems in the code domain, boosting
efficiency, automating repetitive tasks, and optimizing workflows.
Instructions for developing Power Platform custom connectors with Model Context Protocol (MCP) integration for Microsoft Copilot Studio
Quick Facts
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.