mcp-copilot-studio-server-generator

github/awesome-copilot · updated Apr 8, 2026

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

Generate complete MCP server implementations optimized for Copilot Studio with Power Platform connector standards.

  • Produces all required files (apiDefinition.swagger.json, apiProperties.json, script.csx, and MCP server code) following Power Platform connector structure with x-ms-agentic-protocol: mcp-streamable-1.0 support
  • Enforces Copilot Studio schema constraints: no reference types, single-type fields only, primitive types, and full URI endpoints to ensure compatibility
  • Generates
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
  2. 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
  3. 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)
  4. 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
  2. apiProperties.json with:

    • Connector metadata and branding
    • Authentication configuration
    • Policy templates if needed
  3. 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
  4. 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
  5. Individual Tools that:

    • Accept only primitive type inputs
    • Return structured outputs
    • Include resources as outputs when needed
    • Provide clear descriptions for Copilot Studio
  6. 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
how to use mcp-copilot-studio-server-generator

How to use mcp-copilot-studio-server-generator 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 mcp-copilot-studio-server-generator
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 mcp-copilot-studio-server-generator

The skills CLI fetches mcp-copilot-studio-server-generator 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/mcp-copilot-studio-server-generator

Reload or restart Cursor to activate mcp-copilot-studio-server-generator. Access the skill through slash commands (e.g., /mcp-copilot-studio-server-generator) 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

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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

4.475 reviews
  • Mei Ghosh· Dec 28, 2024

    Registry listing for mcp-copilot-studio-server-generator matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Kwame Jain· Dec 20, 2024

    Keeps context tight: mcp-copilot-studio-server-generator is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Xiao Haddad· Dec 20, 2024

    mcp-copilot-studio-server-generator is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Kiara Jackson· Dec 16, 2024

    mcp-copilot-studio-server-generator is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Sofia Kim· Dec 16, 2024

    Solid pick for teams standardizing on skills: mcp-copilot-studio-server-generator is focused, and the summary matches what you get after install.

  • Kwame Rao· Dec 12, 2024

    Useful defaults in mcp-copilot-studio-server-generator — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Kaira Perez· Dec 12, 2024

    mcp-copilot-studio-server-generator reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Noor Yang· Nov 19, 2024

    Solid pick for teams standardizing on skills: mcp-copilot-studio-server-generator is focused, and the summary matches what you get after install.

  • Sakshi Patil· Nov 15, 2024

    mcp-copilot-studio-server-generator reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Xiao Malhotra· Nov 11, 2024

    mcp-copilot-studio-server-generator has been reliable in day-to-day use. Documentation quality is above average for community skills.

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