MCPInstall

add-mcscopilot

Adds Microsoft Copilot Studio connector to a Power Apps code app. Use when invoking Copilot Studio agents, sending prompts to agents, or integrating agent responses.

Installs
252
Last 24h
—
Trending rank
—
Security
Not audited

Install

Works with every agent the skills CLI supports.

npx skills add https://github.com/microsoft/power-platform-skills --skill add-mcscopilot
  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 add-mcscopilot automatically when relevant.

  3. 03

    Review the result

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

SKILL.md

The instructions your agent reads when the skill is triggered.

📋 Shared Instructions: shared-instructions.md - Cross-cutting concerns.

Add Microsoft Copilot Studio

Workflow

  1. Check Memory Bank → 2. Add Connector → 3. Configure → 4. Build → 5. Update Memory Bank

Step 1: Check Memory Bank

Check for memory-bank.md per shared-instructions.md.

Step 2: Add Connector

First, find the connection ID (see connector-reference.md):

Run the /list-connections skill. Find the Microsoft Copilot Studio connection in the output. If none exists, direct the user to create one using the environment-specific Connections URL — construct it from the active environment ID in context (from power.config.json or a prior step): https://make.powerapps.com/environments/<environment-id>/connections → + New connection → search for the connector → Create.

pa app add data-source --connector microsoftcopilotstudio -c <connection-id>

Step 3: Configure

Ask the user which Copilot Studio agent they want to invoke and what operations they need.

Agent Setup Prerequisites (manual steps the user must complete in Copilot Studio):

  1. Publish the agent: In Copilot Studio, click Channels → select Teams → add to Teams → click Publish.
  2. Get the agent name: Under Channels, click "Web app". The connection string URL contains the agent name. Example: https://...api.powerplatform.com/copilotstudio/dataverse-backed/authenticated/bots/cr3e1_myAgent/conversations?... — the agent name is cr3e1_myAgent.

ExecuteCopilotAsyncV2 -- execute an agent and wait for the response:

Use the ExecuteCopilotAsyncV2 operation (path: /proactivecopilot/executeAsyncV2). This is the only endpoint that reliably returns agent responses synchronously. It is the same endpoint used by Power Automate's "Execute Agent and wait" action.

const result = await MicrosoftCopilotStudioService.ExecuteCopilotAsyncV2({
  message: "Your prompt or data here", // Can be a JSON string
  notificationUrl: "https://notificationurlplaceholder" // Required by API but unused; any URL works
});

// Response structure:
// result.responses — Array of response strings from the agent
// result.conversationId — The conversation ID
// result.lastResponse — The last response from the agent
// result.completed — Boolean indicating if the agent finished

Important: Agents often return responses as JSON strings. Parse the responses array to extract meaningful data:

const agentResponse = result.responses?.[0];
if (agentResponse) {
  const parsed = JSON.parse(agentResponse);
  // Extract specific fields, e.g., parsed.trend_summary
}

Use Grep to find specific methods in the generated service file (generated files can be very large — see connector-reference.md).

Known Issues

  • ExecuteCopilot (/execute) -- fire-and-forget, only returns ConversationId, not the actual response. Do NOT use this.
  • ExecuteCopilotAsync (/executeAsync) -- returns 502 "Cannot read server response" errors. Do NOT use this.
  • Conversation turn model (/conversations/{ConversationId}) -- only works after /execute, which doesn't provide responses. Do NOT use this.
  • Response casing varies -- check all variations: conversationId, ConversationId, conversationID.

Step 4: Build

npm run build

Fix TypeScript errors before proceeding. Do NOT deploy yet.

Step 5: Update Memory Bank

Update memory-bank.md with: connector added, agent name configured, configured operations, build status.

FAQ

What does the add-mcscopilot skill do?

Adds Microsoft Copilot Studio connector to a Power Apps code app. Use when invoking Copilot Studio agents, sending prompts to agents, or integrating agent responses.

How do I install add-mcscopilot?

Run npx skills add https://github.com/microsoft/power-platform-skills --skill add-mcscopilot 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/add-mcscopilot/ (personal) or .claude/skills/add-mcscopilot/ (project).

Which AI agents can use add-mcscopilot?

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 add-mcscopilot safe to install?

No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.

Who maintains add-mcscopilot?

It is published by microsoft in microsoft/power-platform-skills, and it is an official skill from the maker of the technology it covers. It has 252 recorded installs.

More from microsoft/power-platform-skills

View all →

add-sharepoint

microsoft/power-platform-skills

Adds SharePoint Online connector to a Power Apps code app. Use when reading lists, managing documents, or integrating with SharePoint sites. Can also create new SharePoint lists.

Official337 installs

create-code-app

microsoft/power-platform-skills

Creates Power Apps code apps using React and Vite. Use when building code apps, scaffolding projects, or deploying to Power Platform.

OfficialFrontend & Design308 installs

add-dataverse

microsoft/power-platform-skills

Adds Dataverse tables to a Power Apps code app with generated TypeScript models and services. Can also create new Dataverse tables. Use when connecting to Dataverse, adding tables, creating schema, or querying Dataverse data.

OfficialCode Quality & Workflow304 installs

configure-canvas-mcp

microsoft/power-platform-skills

Configure the Canvas Authoring MCP server for the current coauthoring session. Use before starting to edit a canvas app with the /canvas-app skill if not already connected. USE WHEN "configure MCP", "set up MCP server", "MCP not working", "connect Canvas Apps MCP", "canvas-authoring not available", "MCP not configured", "set up canvas apps".

OfficialAI & Agents296 installs

add-office365

microsoft/power-platform-skills

Adds Office 365 Outlook connector to a Power Apps code app. Use when accessing calendars, sending emails, reading inbox, or managing Outlook events.

Official289 installs

canvas-app

microsoft/power-platform-skills

Creates or edits a Power Apps Canvas App through the Canvas Authoring MCP coauthoring session. Handles staged experience design, direct and partitioned targeted edits, planned multi-screen changes, responsive layout, and compile-error convergence. Trigger on requests to create, build, generate, modify, update, change, fix, or edit a Canvas App or .pa.yaml files.

OfficialFrontend & Design284 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