power-platform-mcp-connector-suite
Generate complete Power Platform custom connector with MCP integration for Copilot Studio - includes schema generation, troubleshooting, and validation
Best use case
power-platform-mcp-connector-suite is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Generate complete Power Platform custom connector with MCP integration for Copilot Studio - includes schema generation, troubleshooting, and validation
Teams using power-platform-mcp-connector-suite should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/power-platform-mcp-connector-suite/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How power-platform-mcp-connector-suite Compares
| Feature / Agent | power-platform-mcp-connector-suite | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Generate complete Power Platform custom connector with MCP integration for Copilot Studio - includes schema generation, troubleshooting, and validation
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# 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 ```yaml 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 ```
Related Skills
feature-store-connector
Feature Store Connector - Auto-activating skill for ML Deployment. Triggers on: feature store connector, feature store connector Part of the ML Deployment skill category.
benchmark-suite-creator
Benchmark Suite Creator - Auto-activating skill for Performance Testing. Triggers on: benchmark suite creator, benchmark suite creator Part of the Performance Testing skill category.
powerbi-modeling
Power BI semantic modeling assistant for building optimized data models. Use when working with Power BI semantic models, creating measures, designing star schemas, configuring relationships, implementing RLS, or optimizing model performance. Triggers on queries about DAX calculations, table relationships, dimension/fact table design, naming conventions, model documentation, cardinality, cross-filter direction, calculation groups, and data model best practices. Always connects to the active model first using power-bi-modeling MCP tools to understand the data structure before providing guidance.
power-bi-report-design-consultation
Power BI report visualization design prompt for creating effective, user-friendly, and accessible reports with optimal chart selection and layout design.
power-bi-performance-troubleshooting
Systematic Power BI performance troubleshooting prompt for identifying, diagnosing, and resolving performance issues in Power BI models, reports, and queries.
power-bi-model-design-review
Comprehensive Power BI data model design review prompt for evaluating model architecture, relationships, and optimization opportunities.
power-bi-dax-optimization
Comprehensive Power BI DAX formula optimization prompt for improving performance, readability, and maintainability of DAX calculations.
power-apps-code-app-scaffold
Scaffold a complete Power Apps Code App project with PAC CLI setup, SDK integration, and connector configuration
flowstudio-power-automate-mcp
Connect to and operate Power Automate cloud flows via a FlowStudio MCP server. Use when asked to: list flows, read a flow definition, check run history, inspect action outputs, resubmit a run, cancel a running flow, view connections, get a trigger URL, validate a definition, monitor flow health, or any task that requires talking to the Power Automate API through an MCP tool. Also use for Power Platform environment discovery and connection management. Requires a FlowStudio MCP subscription or compatible server — see https://mcp.flowstudio.app
flowstudio-power-automate-debug
Debug failing Power Automate cloud flows using the FlowStudio MCP server. Load this skill when asked to: debug a flow, investigate a failed run, why is this flow failing, inspect action outputs, find the root cause of a flow error, fix a broken Power Automate flow, diagnose a timeout, trace a DynamicOperationRequestFailure, check connector auth errors, read error details from a run, or troubleshoot expression failures. Requires a FlowStudio MCP subscription — see https://mcp.flowstudio.app
flowstudio-power-automate-build
Build, scaffold, and deploy Power Automate cloud flows using the FlowStudio MCP server. Load this skill when asked to: create a flow, build a new flow, deploy a flow definition, scaffold a Power Automate workflow, construct a flow JSON, update an existing flow's actions, patch a flow definition, add actions to a flow, wire up connections, or generate a workflow definition from scratch. Requires a FlowStudio MCP subscription — see https://mcp.flowstudio.app
migrating-dbt-project-across-platforms
Use when migrating a dbt project from one data platform or data warehouse to another (e.g., Snowflake to Databricks, Databricks to Snowflake) using dbt Fusion's real-time compilation to identify and fix SQL dialect differences.