power-platform-mcp-connector-suite

github/awesome-copilot · updated Apr 8, 2026

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$npx skills add https://github.com/github/awesome-copilot --skill power-platform-mcp-connector-suite
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summary

Complete Power Platform custom connector generator with MCP integration, schema validation, and Copilot Studio compliance.

  • Generates four core files (apiDefinition.swagger.json, apiProperties.json, script.csx, readme.md) with built-in MCP protocol support and JSON-RPC 2.0 handling for Copilot Studio agents
  • Validates schemas against Copilot Studio constraints: no reference types, single type values only, primitive types, and resources as tool outputs
  • Supports six generation modes: com
skill.md

Power Platform MCP Connector Suite

Generate comprehensive Power Platform custom connector implementations with Model Context Protocol integration for Microsoft Copilot Studio.

MCP Capabilities in Copilot Studio

Currently Supported:

  • Tools: Functions that the LLM can call (with user approval)
  • Resources: File-like data that agents can read (must be tool outputs)

Not Yet Supported:

  • Prompts: Pre-written templates (prepare for future support)

Connector Generation

Create complete Power Platform connector with:

Core Files:

  • apiDefinition.swagger.json with x-ms-agentic-protocol: mcp-streamable-1.0
  • apiProperties.json with connector metadata and authentication
  • script.csx with custom C# transformations for MCP JSON-RPC handling
  • readme.md with connector documentation

MCP Integration:

  • POST /mcp endpoint for JSON-RPC 2.0 communication
  • McpResponse and McpErrorResponse schema definitions
  • Copilot Studio constraint compliance (no reference types, single types)
  • Resource integration as tool outputs (Resources and Tools supported; Prompts not yet supported)

Schema Validation & Troubleshooting

Validate schemas for Copilot Studio compliance:

  • ✅ No reference types ($ref) in tool inputs/outputs
  • ✅ Single type values only (not ["string", "number"])
  • ✅ Primitive types: string, number, integer, boolean, array, object
  • ✅ Resources as tool outputs, not separate entities
  • ✅ Full URIs for all endpoints

Common issues and fixes:

  • Tools filtered → Remove reference types, use primitives
  • Type errors → Single types with validation logic
  • Resources unavailable → Include in tool outputs
  • Connection failures → Verify x-ms-agentic-protocol header

Context Variables

  • Connector Name: [Display name for the connector]
  • Server Purpose: [What the MCP server should accomplish]
  • Tools Needed: [List of MCP tools to implement]
  • Resources: [Types of resources to provide]
  • Authentication: [none, api-key, oauth2, basic]
  • Host Environment: [Azure Function, Express.js, etc.]
  • Target APIs: [External APIs to integrate with]

Generation Modes

Mode 1: Complete New Connector

Generate all files for a new Power Platform MCP connector from scratch, including CLI validation setup.

Mode 2: Schema Validation

Analyze and fix existing schemas for Copilot Studio compliance using paconn and validation tools.

Mode 3: Integration Troubleshooting

Diagnose and resolve MCP integration issues with Copilot Studio using CLI debugging tools.

Mode 4: Hybrid Connector

Add MCP capabilities to existing Power Platform connector with proper validation workflows.

Mode 5: Certification Preparation

Prepare connector for Microsoft certification submission with complete metadata and validation compliance.

Mode 6: OAuth Security Hardening

Implement OAuth 2.0 authentication enhanced with MCP security best practices and advanced token validation.

Expected Output

1. apiDefinition.swagger.json

  • Swagger 2.0 format with Microsoft extensions
  • MCP endpoint: POST /mcp with proper protocol header
  • Compliant schema definitions (primitive types only)
  • McpResponse/McpErrorResponse definitions

2. apiProperties.json

  • Connector metadata and branding (iconBrandColor required)
  • Authentication configuration
  • Policy templates for MCP transformations

3. script.csx

  • JSON-RPC 2.0 message handling
  • Request/response transformations
  • MCP protocol compliance logic
  • Error handling and validation

4. Implementation guidance

  • Tool registration and execution patterns
  • Resource management strategies
  • Copilot Studio integration steps
  • Testing and validation procedures

Validation Checklist

Technical Compliance

  • x-ms-agentic-protocol: mcp-streamable-1.0 in MCP endpoint
  • No reference types in any schema definitions
  • All type fields are single types (not arrays)
  • Resources included as tool outputs
  • JSON-RPC 2.0 compliance in script.csx
  • Full URI endpoints throughout
  • Clear descriptions for Copilot Studio agents
  • Authentication properly configured
  • Policy templates for MCP transformations
  • Generative Orchestration compatibility

CLI Validation

  • paconn validate: paconn validate --api-def apiDefinition.swagger.json passes without errors
  • pac CLI ready: Connector can be created/updated with pac connector create/update
  • Script validation: script.csx passes automatic validation during pac CLI upload
  • Package validation: ConnectorPackageValidator.ps1 runs successfully

OAuth and Security Requirements

  • OAuth 2.0 Enhanced: Standard OAuth 2.0 with MCP security best practices implementation
  • Token Validation: Implement token audience validation to prevent passthrough attacks
  • Custom Security Logic: Enhanced validation in script.csx for MCP compliance
  • State Parameter Protection: Secure state parameters for CSRF prevention
  • HTTPS Enforcement: All production endpoints use HTTPS only
  • MCP Security Practices: Implement confused deputy attack prevention within OAuth 2.0

Certification Requirements

  • Complete metadata: settings.json with product and service information
  • Icon compliance: PNG format, 230x230 or 500x500 dimensions
  • Documentation: Certification-ready readme with comprehensive examples
  • Security compliance: OAuth 2.0 enhanced with MCP security practices, privacy policy
  • Authentication flow: OAuth 2.0 with custom security validation properly configured

Example Usage

Mode: Complete New Connector
Connector Name: Customer Analytics MCP
Server Purpose: Customer data analysis and insights
Tools Needed:
  - searchCustomers: Find customers by criteria
  - getCustomerProfile: Retrieve detailed customer data
  - analyzeCustomerTrends: Generate trend analysis
Resources:
  - Customer profiles (JSON data)
  - Analysis reports (structured data)
Authentication: oauth2
Host Environment: Azure Function
Target APIs: CRM REST API
how to use power-platform-mcp-connector-suite

How to use power-platform-mcp-connector-suite on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add power-platform-mcp-connector-suite
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/github/awesome-copilot --skill power-platform-mcp-connector-suite

The skills CLI fetches power-platform-mcp-connector-suite from GitHub repository github/awesome-copilot and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/power-platform-mcp-connector-suite

Reload or restart Cursor to activate power-platform-mcp-connector-suite. Access the skill through slash commands (e.g., /power-platform-mcp-connector-suite) or your agent's skill management interface.

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

List & Monetize Your Skill

Submit your Claude Code skill and start earning

GET_STARTED →

Use Cases

Task Automation & Efficiency

Automate repetitive workflows and reduce manual effort

Example

Generate reports, summarize documents, draft communications

Save 3-5 hours per week on routine tasks

Knowledge Enhancement

Learn new skills, understand complex topics, get expert guidance

Example

Explain concepts, provide examples, suggest learning resources

Accelerate learning and skill development by 2x

Quality Improvement

Enhance output quality through reviews, suggestions, and refinements

Example

Review drafts, suggest improvements, catch errors

Improve work quality by 30-40% with less effort

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client with skill support
  • Clear understanding of task or problem to solve
  • Willingness to iterate and refine outputs

Time Estimate

15-45 minutes depending on use case complexity

Installation Steps

  1. 1.Install skill using provided installation command
  2. 2.Test with simple use case relevant to your work
  3. 3.Evaluate output quality and relevance
  4. 4.Iterate on prompts to improve results
  5. 5.Integrate into regular workflow if valuable

Common Pitfalls

  • Expecting perfect results without iteration
  • Not providing enough context in prompts
  • Using skill for tasks outside its intended scope
  • Accepting outputs without review and validation

Best Practices

✓ Do

  • +Start with clear, specific prompts
  • +Provide relevant context and constraints
  • +Review and refine all outputs before using
  • +Iterate to improve output quality
  • +Document successful prompt patterns

✗ Don't

  • Don't use without understanding skill limitations
  • Don't skip validation of outputs
  • Don't share sensitive information in prompts
  • Don't expect skill to replace human judgment

💡 Pro Tips

  • Be specific about desired format and style
  • Ask for multiple options to choose from
  • Request explanations to understand reasoning
  • Combine AI efficiency with human expertise

When to Use This

✓ Use When

Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.

✗ Avoid When

Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.

Learning Path

  1. 1Familiarize yourself with skill capabilities and limitations
  2. 2Start with low-risk, non-critical tasks
  3. 3Progress to more complex and valuable use cases
  4. 4Build expertise through regular use and experimentation

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.
general reviews

Ratings

4.465 reviews
  • William Torres· Dec 24, 2024

    I recommend power-platform-mcp-connector-suite for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Hiroshi Haddad· Dec 24, 2024

    Solid pick for teams standardizing on skills: power-platform-mcp-connector-suite is focused, and the summary matches what you get after install.

  • Dhruvi Jain· Dec 12, 2024

    Useful defaults in power-platform-mcp-connector-suite — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Evelyn Chawla· Dec 12, 2024

    power-platform-mcp-connector-suite fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Luis Harris· Dec 8, 2024

    power-platform-mcp-connector-suite has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Michael Kim· Nov 27, 2024

    power-platform-mcp-connector-suite has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Nia Kim· Nov 27, 2024

    power-platform-mcp-connector-suite fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Michael Huang· Nov 15, 2024

    Keeps context tight: power-platform-mcp-connector-suite is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Luis Sethi· Nov 15, 2024

    We added power-platform-mcp-connector-suite from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Omar Chen· Nov 7, 2024

    power-platform-mcp-connector-suite reduced setup friction for our internal harness; good balance of opinion and flexibility.

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