MCPInstall

power-platform-mcp-connector-suite

by github OfficialAI & Agents

Generate complete Power Platform custom connector with MCP integration for Copilot Studio - includes schema generation, troubleshooting, and validation

Installs
8.7K
Last 24h
—
Trending rank
—
Security
Warn

Install

Works with every agent the skills CLI supports.

npx skills add https://github.com/github/awesome-copilot --skill power-platform-mcp-connector-suite
  1. 01

    Install

    Run the command in your project. The CLI asks which agents to install for.

  2. 02

    Describe the task

    Ask your agent for something this skill covers. It loads power-platform-mcp-connector-suite automatically when relevant.

  3. 03

    Review the result

    The agent follows the SKILL.md steps, scripts and references bundled with the skill.

Security audits

Independent scans of the skill's instructions and bundled files.

Gen Agent Trust Hub PassSAFE ·This skill is a development tool designed to generate Microsoft Power Platform custom connectors integrated with the Model Context Protocol (MCP). It provides templates for Swagger definitions, metadata, and C# scripts. It leverages official Microsoft development tools (paconn, pac CLI) for validation and follows standard development practices. No security risks or malicious patterns were identified.
Socket PassNo alerts
Snyk PassLOW ·Risk: LOW · No issues
Runlayer WarnMEDIUM ·1/1 file flagged
ZeroLeaks PassNONE ·Score: 93/100 · 2 sections analyzed

SKILL.md

The instructions your agent reads when the skill is triggered.

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

FAQ

What does the power-platform-mcp-connector-suite skill do?

Generate complete Power Platform custom connector with MCP integration for Copilot Studio - includes schema generation, troubleshooting, and validation

How do I install power-platform-mcp-connector-suite?

Run npx skills add https://github.com/github/awesome-copilot --skill power-platform-mcp-connector-suite in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/power-platform-mcp-connector-suite/ (personal) or .claude/skills/power-platform-mcp-connector-suite/ (project).

Which AI agents can use power-platform-mcp-connector-suite?

Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.

Is power-platform-mcp-connector-suite safe to install?

Security partners have reviewed it: Gen Agent Trust Hub passed; Socket passed; Snyk passed; Runlayer flagged items to review; ZeroLeaks passed. As with any skill, read the SKILL.md and bundled scripts before installing.

Who maintains power-platform-mcp-connector-suite?

It is published by github in github/awesome-copilot, and it is an official skill from the maker of the technology it covers. It has 8,670 recorded installs.

More from github/awesome-copilot

View all →

git-commit

github/awesome-copilot

Use this skill when the user wants to make a Git commit or split changes into more than one commit. Also use it when the user types "/commit" or asks for a conventional commit. The skill examines the diff, stages the related files, writes a Conventional Commits message, and runs git commit. Do not use it when the user wants only a commit message and no commit. Do not use it to push, open a pull request, rebase, or change the commit history.

OfficialCode Quality & Workflow47.4K installs

excalidraw-diagram-generator

github/awesome-copilot

Generate Excalidraw diagrams from natural language descriptions. Use when asked to "create a diagram", "make a flowchart", "visualize a process", "draw a system architecture", "create a mind map", or "generate an Excalidraw file". Supports flowcharts, relationship diagrams, mind maps, and system architecture diagrams. Outputs .excalidraw JSON files that can be opened directly in Excalidraw.

OfficialDocs & Writing31.9K installs

multi-stage-dockerfile

github/awesome-copilot

Create optimized multi-stage Dockerfiles for any language or framework

Official29.8K installs

documentation-writer

github/awesome-copilot

Diátaxis Documentation Expert. An expert technical writer specializing in creating high-quality software documentation, guided by the principles and structure of the Diátaxis technical documentation authoring framework.

OfficialDocs & Writing27.9K installs

prd

github/awesome-copilot

Generate high-quality Product Requirements Documents (PRDs) for software systems and AI-powered features. Includes executive summaries, user stories, technical specifications, and risk analysis.

Official24.1K installs

refactor

github/awesome-copilot

Surgical code refactoring to improve maintainability without changing behavior. Covers extracting functions, renaming variables, breaking down god functions, improving type safety, eliminating code smells, and applying design patterns. Less drastic than repo-rebuilder; use for gradual improvements.

OfficialCode Quality & Workflow22.4K installs

Popular ai & agents skills

View category →

google-agents-cli-publish

google/agents-cli

This skill should be used when the user wants to "publish an agent", "publish my ADK agent", "register an agent with Gemini", "publish to Gemini" (formerly Gemini Enterprise), or needs guidance on the agents-cli publish gemini command. Also use when the user wants to "manage agents in Agent Registry", "list/update/delete registered agents", or "register an MCP server". Covers ADK vs A2A registration modes, programmatic and interactive usage, flag reference, auto-detection from deployment metadata, Agent Registry fleet management, and troubleshooting. Part of the agents-cli skills suite. Do NOT use for deployment (use google-agents-cli-deploy).

AI & Agents513.9K installs

google-agents-cli-eval

google/agents-cli

This skill should be used when the user wants to "run an evaluation", "evaluate my agent", "evaluate my ADK agent", "write an eval dataset", "analyze eval failures", "compare eval results", "optimize agent", or needs guidance on the Gemini platform eval methodology and the Quality Flywheel. Covers eval metrics, dataset schema, LLM-as-judge scoring, and common failure causes. Applies to any agents-cli project, whatever framework the agent is written in. Do NOT use for agent API code patterns (ADK: use google-agents-cli-adk-code), deployment (use google-agents-cli-deploy), or project scaffolding (use google-agents-cli-scaffold).

AI & Agents513.5K installs

skill-creator

anthropics/skills

Create new skills, modify and improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, edit, or optimize an existing skill, run evals to test a skill, benchmark skill performance with variance analysis, or optimize a skill's description for better triggering accuracy.

OfficialAI & Agents416.4K installs

codex-pet

prime-skills/runcomfy-agent-skills

Codex Pet generator on RunComfy. Build a Codex-compatible Codex Pet spritesheet.webp + pet.json from a single reference image, drop it into ${CODEXHOME:-$HOME/.codex}/pets/ / and Codex picks it up as a custom Codex Pet next to the 8 built-ins. This skill produces the exact Codex Pet atlas Codex expects (1536x1872 PNG/WebP, 8 cols x 9 rows, 192x208 cells, 9 animation states — idle, running-right, running-left, waving, jumping, failed, waiting, running, review). Calls OpenAI GPT Image 2 edit ONCE via the local RunComfy CLI as runcomfy run openai/gpt-image-2/edit to produce a canonical Codex Pet pose, then assembles all 9 animation rows programmatically with ImageMagick micro-transforms — no Codex Pro, no $imagegen, no OPENAIAPIKEY required, only RUNCOMFYTOKEN. Triggers on "codex pet", "create codex pet", "make codex pet", "hatch codex pet", "/hatch image", "desktop pet codex", "codex pets", "spritesheet.webp", or any explicit ask to build a custom pet for OpenAI Codex.

AI & Agents402.1K installs

full-output-enforcement

leonxlnx/taste-skill

Overrides default LLM truncation behavior. Enforces complete code generation, bans placeholder patterns, and handles token-limit splits cleanly. Apply to any task requiring exhaustive, unabridged output.

AI & Agents401K installs

executing-plans

obra/superpowers

Use when executing an implementation plan in the current session as the implementer yourself — your human partner chose inline execution, or no subagent tool is available

AI & Agents245.7K installs