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Copilot Studio MCP

제작자: jgt87버전 0.1.8i★ –i내 컴퓨터에서 실행
레지스트리 이름io.github.jgt87/copilot-studio-mcp

설치

개요

제작자가 쓴 설명(영어 원문)

Build, test, ship and maintain Microsoft Copilot Studio agents from the editor

PopNx MCP의 세 기둥

이 세 가지는 절대 하나의 점수로 합치지 않아요. 의견, 측정, 인기는 서로 다른 것이니까요.

할 수 있는 일

이 서버는 아직 쉬운 말로 된 요약을 쓰지 못했어요. 아래는 레지스트리에서 읽어 온 사실이에요.

  • 연결 방식: 내 컴퓨터에서 실행
  • 전송 방식: stdio
  • 카테고리: 기타

설치

쓰고 있는 AI 앱을 고른 다음 설정을 복사하세요.

설치하기 전에

  • 기본 점검: 1개 중 1개 통과
  • 내 컴퓨터에서 내 사용자 계정의 권한(파일, 네트워크, 앱)으로 실행돼요.
  • 직접 입력할 값: CPS_WORKSPACE, CPS_TENANT_ID, CPS_CLIENT_ID, CPS_READ_ONLY, CPS_TOOLS

필요한 것

  • npmNode.js 설치(npx 명령어용)

어떤 앱을 쓰세요?

위에서 앱을 고르세요. 기억해 두었다가 다음부터는 버튼에 “…에 설치”라고 표시해요.

Claude Desktop → Settings → Developer → Edit Config를 열고 claude_desktop_config.json에 이 내용을 붙여 넣으세요

{
  "mcpServers": {
    "copilot-studio": {
      "command": "npx",
      "args": [
        "-y",
        "copilot-studio-mcp"
      ],
      "env": {
        "CPS_WORKSPACE": "your-value",
        "CPS_TENANT_ID": "your-value",
        "CPS_CLIENT_ID": "your-value",
        "CPS_READ_ONLY": "your-value",
        "CPS_TOOLS": "your-value"
      }
    }
  }
}

터미널에서 이 명령어를 실행하세요

claude mcp add copilot-studio --env CPS_WORKSPACE=your-value --env CPS_TENANT_ID=your-value --env CPS_CLIENT_ID=your-value --env CPS_READ_ONLY=your-value --env CPS_TOOLS=your-value -- npx -y copilot-studio-mcp

실행하기 전에 빈 값을 채워 주세요.

Cursor에서 열기

또는 설정을 직접 복사하기

프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요

{
  "mcpServers": {
    "copilot-studio": {
      "command": "npx",
      "args": [
        "-y",
        "copilot-studio-mcp"
      ],
      "env": {
        "CPS_WORKSPACE": "your-value",
        "CPS_TENANT_ID": "your-value",
        "CPS_CLIENT_ID": "your-value",
        "CPS_READ_ONLY": "your-value",
        "CPS_TOOLS": "your-value"
      }
    }
  }
}

브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.

VS Code에서 열기

또는 설정을 직접 복사하기

프로젝트의 .vscode/mcp.json에 붙여 넣으세요

{
  "servers": {
    "copilot-studio": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "copilot-studio-mcp"
      ],
      "env": {
        "CPS_WORKSPACE": "your-value",
        "CPS_TENANT_ID": "your-value",
        "CPS_CLIENT_ID": "your-value",
        "CPS_READ_ONLY": "your-value",
        "CPS_TOOLS": "your-value"
      }
    }
  }
}

브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.

이 서버는 내 컴퓨터에서 실행되는데, ChatGPT는 인터넷에 있는 서버에만 연결할 수 있어요. 다른 앱을 고르세요.

선택한 앱은 이 기기의 쿠키에만 저장돼요. 계정은 필요 없어요.

직접 입력할 값

  • CPS_WORKSPACE env
    Agent workspace folder to start in (VS Code: ${workspaceFolder})
  • CPS_TENANT_ID env
    Entra tenant id for cs_login; defaults to organizations
  • CPS_CLIENT_ID env
    Your own app registration for cs_login; defaults to the first-party VS Code client id
  • CPS_READ_ONLY env
    Set to 1 to withhold every tool that can change an environment
  • CPS_TOOLS env
    Tool preset or glob list: core, authoring, admin, solutions, full

이 설정은 제작자의 레지스트리 정보로 만들었어요. README와 다르면 README를 따르세요.

할 수 있는 일

내 컴퓨터에서 실행돼요. 설치하면 AI 앱에 도구 목록이 나타나요.

기본 점검i

누구나 볼 수 있는 정보를 점검했고, 코드는 읽지 않았어요. 해당하지 않는 항목은 개수에서 뺐어요. · 2026년 11월 7일 점검

  • ✓ 통과

    제작자와 저장소 일치

    레지스트리 이름이 GitHub 계정 jgt87 기준으로 확인되었고, 이 계정이 저장소를 소유하고 있어요

  • … 아직 점검 안 함

    계속 관리되고 있음

    아직 GitHub에서 이 저장소를 읽어 오지 않았어요

  • … 아직 점검 안 함

    라이선스 있음

    아직 GitHub에서 이 저장소를 읽어 오지 않았어요

  • – 해당 없음

    엔드포인트 응답

    내 컴퓨터에서 실행되는 서버라 인터넷 엔드포인트가 없어요

  • – 해당 없음

    OAuth로 로그인

    내 컴퓨터에서 실행되며, 대신 로컬 설정을 사용해요

  • … 아직 점검 안 함

    도구 설명에 숨겨진 지시 없음

    내 컴퓨터에서 실행돼요. 도구 목록은 인터넷 엔드포인트가 있는 서버에서만 읽을 수 있어요

기타 카테고리의 다른 서버와 비교i

  • 이 카테고리의 다른 서버 32680개 중 0%보다 스타가 많아요
  • 이 카테고리의 다른 서버 32680개 중 66%보다 최근에 레지스트리에 공개됐어요
  • 기본 점검 결과가 이 카테고리의 다른 서버 32680개 중 100%와 같거나 더 좋아요

레지스트리에서 이 카테고리의 활성 서버 전체와 비교했어요. 스타는 게시자가 저장소를 소유한 경우에만 세요.

자주 묻는 질문

Copilot Studio MCP, 안전한가요?

해당하는 기본 점검 1개 중 1개를 통과했어요. 코드는 읽지 않았어요. 키나 토큰을 넣기 전에 서버가 어떤 권한을 요구하는지 확인하고, 꼭 필요한 권한만 있는 키를 쓰세요.

어떤 키나 코드가 필요한가요?

레지스트리에 필수 키가 나와 있지 않아요. 다만 처음 쓸 때 로그인을 요구하는 서버도 있어요.

내 컴퓨터에서 실행되나요, 클라우드에서 실행되나요?

내 컴퓨터에서 실행돼요. AI 앱이 필요할 때 실행하고, 데이터는 제작자의 서버를 거치지 않아요(서버 자체가 온라인 서비스를 호출하는 경우는 제외).

아직 관리되고 있나요?

GitHub 저장소는 마지막으로 – 변경됐고, 최신 버전(0.1.8)은 19일 전 레지스트리에 올라왔어요.

어떤 앱에서 쓸 수 있나요?

Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. 내 컴퓨터에 Node.js도 있어야 해요.

대신 쓸 수 있는 건 뭐가 있나요?

같은 카테고리에는: Spec Driven Development, Remote Desktop Commander, EmbeddedCI BenchPod

대안

같은 카테고리에서 다른 제작자가 만든 서버예요. 스타 순으로 정렬했어요.

카드 보는 법:★ GitHub 스타i세 기둥: 리뷰 · 점검 · 사용 정도i업데이트 = 최신 버전을 레지스트리에 공개한 날i

Spec Driven Development

제작자: formulahendry

MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.

내 컴퓨터에서 실행★ 440MIT14개월 전 업데이트
설치

Remote Desktop Commander

제작자: desktop-commander

Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

클라우드에서 실행★ 211그저께 업데이트
설치

EmbeddedCI BenchPod

제작자: embeddedci-com

Drive a BenchPod hardware-in-the-loop bench: power, flash, UART, I2C, CAN, analog and logic.

내 컴퓨터에서 실행오늘 업데이트
설치

제작자의 README

README 열기

제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.

Copilot Studio MCP

An MCP server that lets a coding agent (GitHub Copilot in VS Code, Claude Code, or any other MCP client) build, test, ship and look after Microsoft Copilot Studio agents from the editor.

An agent becomes a folder of YAML you can read, diff and commit. The server writes that folder the way the Copilot Studio VS Code extension does, syncs it with the live agent through the official Power Platform CLI (pac), and calls the Power Platform, Dataverse, BAP, Power Automate and DirectLine APIs for what the CLI does not cover: evaluations, chat, cloud flows, portal drift, transcripts. Nothing reaches a live environment without your approval, and when a choice is still open the tool asks a question instead of failing.

What you can do with it

You want toWhat happensRead
Stand up a new agent and get it livecreate it inside a solution, generate instructions, add knowledge, topics and tools, review, validate, push, publish, talk to itBuild a new agent
Change an agent that already existsclone it to files, edit or remove components, review, merge what colleagues changed, pushWork on an existing agent
Give the agent something to callconnector actions, MCP servers, cloud flows, AI Builder prompts, other agents, chosen from what the environment actually hasGive the agent tools
Know whether it workschat with the published agent, repeatable conversation tests, evaluation runs with per-case resultsPublish and test
Learn from real userstranscripts, session outcomes, escalation rate, a regression test set built from real questionsLearn from production conversations
Not overwrite what a colleague did in the portalsee portal changes since your last sync, block a push that would collide, mergeKeep the workspace and the portal in sync
Write a Power Automate flow without hand-writing Logic Apps JSONcompose a definition from steps, create the flow, bind its connections, switch it on, read its run historyBuild cloud flows
Find out why a flow keeps failingresolve the real error behind a failed connector action, diff the run against one that worked, and see where the failures concentrateBuild cloud flows
Move to test and productionpull the whole solution, map connections and variables, deploy 1:1, publish; or use a pipelineShip a solution to another environment
Prove the stages matchsnapshot each environment, compare, gate a pipeline on driftCompare environments across DTAP
Run the tenantenvironments, security roles, DLP, tenant settings, backups to files, onboarding a team, the Microsoft 365 agent catalogueAdminister the tenant

The complete tool list is in docs/tools.md and the diagrams in docs/flows.md; both ship inside the npm package under docs/. The reference sections at the end of this page cover the agent settings the server can write, authentication and permissions, configuration, the hard limits and how this differs from pac's own MCP server.

Status

Early release. What has actually been exercised:

  • Offline: 251 unit tests over the compiled output, plus a pack oracle that round-trips every authoring tool's YAML through pac copilot init and pac copilot pack.
  • Against a real tenant (2026-09-08, phases A to F of docs/live-verification.md): the connector registry, the pac connection list layout, pac copilot clone and its sync metadata, drift detection and the cs_push conflict refusal, and the evaluation path end to end including the portal's CSV import format and the metric status strings. A portal-made agent validates clean, so cs_validate produces no false positives on real content. That run also caught a real bug: pac copilot publish prints "Failed to publish" and exits 0, so a failed publish was being reported as a success. Fixed.
  • Not yet verified live: the transcript tools, cs_check_drift in quick mode, cs_chat, the Dataverse listBots path, moving a solution between environments, and every flow the flow builder produces (none has been imported into an environment yet).

docs/verify.md is the short list of what is still open, docs/STATUS.md the full record. Read the dry run before confirming anything that writes.

Set up

Prerequisites
  • Node.js 20+.
  • .NET 10 SDK and the Power Platform CLI: dotnet tool install --global Microsoft.PowerApps.CLI.Tool. If the SDK lives in your user profile, set DOTNET_ROOT to that folder; the server defaults it to ~/.dotnet when that folder exists.
  • A pac auth profile for the environment you work in, created once in a terminal: pac auth create --environment . Everything that goes through pac (create, clone, pull, push, publish, solutions, administration) uses it, with Microsoft's own first-party app.
  • For the API-based tools (environments, evaluations, chat, flows, drift, transcripts): an Entra sign-in through cs_login, done from the session. By default no app registration is needed; Authentication and app registration says when you need one and which permissions it must carry.
Install and register

The server is on npm as copilot-studio-mcp, so the usual install is no install: point your MCP client at npx, and the first start fetches the package.

There is also a VS Code extension, vscode-extension/, which registers the server with VS Code's MCP host and exposes the environment variables below as settings. It carries the server and its dependencies inside the VSIX, so it needs no npm and no network on first start. Build it with cd vscode-extension && npm install && npm run package; install the resulting .vsix with code --install-extension copilot-studio-mcp- .vsix.

VS Code, from a terminal or by hand in .vscode/mcp.json (workspace) or the user-level mcp.json:

code --add-mcp '{"name":"copilot-studio","command":"npx","args":["-y","copilot-studio-mcp"]}'
{

"servers": { "copilot-studio": { "type": "stdio", "command": "npx", "args": ["-y", "copilot-studio-mcp"], "env": { "CPS_WORKSPACE": "${workspaceFolder}" } } } }

Claude Code (user scope):

claude mcp add-json copilot-studio '{"type":"stdio","command":"npx","args":["-y","copilot-studio-mcp"]}' --scope user

Mistral Vibe, in ~/.vibe/config.toml (or $VIBE_HOME/config.toml; a ./.vibe/config.toml in the working folder takes precedence). Vibe gives a server 10 seconds to start by default, which a first npx fetch on a corporate network can exceed, so install globally and run the entry point with node (find the folder with npm root -g). On Windows, keep paths in single quotes: TOML reads backslashes inside double quotes as escapes, and "C:\Users\..." is not valid TOML.

[[mcp_servers]]

name = "copilot-studio" transport = "stdio" command = "node" args = ['C:\Users\ \AppData\Roaming\npm\node_modules\copilot-studio-mcp\dist\index.js'] startup_timeout_sec = 60 # default 10 tool_timeout_sec = 300 # default 60; solution exports and evaluation runs take longer

npm install -g copilot-studio-mcp with "command": "copilot-studio-mcp" avoids the npx start-up cost. The server is published to the MCP Registry as io.github.jgt87/copilot-studio-mcp, which is what VS Code's MCP gallery (Extensions view, search @mcp) draws from through the GitHub MCP Registry. To run from a clone instead, see Development.

Environment variables are optional and listed under Configuration.

The first session
  1. `cs_init`. Reports pac and .NET, the pac profiles and which one is active, the MSAL sign-in, the write policy in force, the workspace it found and the next steps for it. It also returns a menu of tool presets; on a smaller model pick one (see Running on a smaller model).
  2. `cs_login` when a cloud tool needs it. The call opens the browser from the server and returns within 15 seconds; if the sign-in has not finished by then it returns status: pending with the URL so you can open it yourself, and the next cloud call (or cs_login_status) picks the token up. That is what makes sign-in work from clients that cap tool-call duration or run the server where no browser can be launched. Device code (mode: device_code) is the alternative where the tenant allows it; many block it by Conditional Access policy.
  3. `cs_guide ` when you want the walkthrough for one job rather than inventing a sequence: getting-started, instructions, knowledge, tools, topics, evaluations, publish-and-test, drift, transcripts, solutions, administration, troubleshooting. Each names the tool per step, the portal steps that cannot be automated, and the next steps for your workspace. Six MCP prompts (new agent, add knowledge, add tool, write instructions, review and push, check drift) wrap the same walkthroughs in clients that show prompts as commands.

Approval before anything changes

The server never changes a live Copilot Studio environment on its own. Every tool that can (cs_push, cs_publish, cs_run_evaluation, cs_import_solution, cs_deploy_solution, cs_create_agent with an environment, the delete tools, the flow and admin tools that write, and the environment-changing pac wrappers) returns a dry run describing what it would do, and does nothing else, until it is called again with confirm: true. The calling agent is instructed, in the MCP handshake, to show that dry run and pass confirm only after you agree; one approval covers one call.

Changing the agent on disk asks the same way, for the same reason: an edit you did not intend is cheap to make and expensive to notice. cs_add_topic, cs_add_knowledge_source, cs_add_tool, cs_add_flow, cs_add_trigger, cs_add_variable, cs_edit_topic, cs_edit_tool, cs_edit_knowledge, cs_update_settings, cs_update_agent and cs_generate_instructions write nothing on the first call. They return the change instead - a file that would be created shown in full, a file that would be edited shown as a diff against what is there now - and write it when the same call is repeated with confirm: true. Reviewing, validating and describing read only, and ask nothing.

The prose fields get their own accounting, because they are the change a diff alone does not settle: the preview carries the character count and how much of the product's limit is left, and an edit that would exceed it is refused outright rather than failing at push time. The limits are not the same - instructions holds 8000 characters, and the Settings > Responses > "Response formatting" box (responseInstructions) only 500.

For a hard lock, set CPS_READ_ONLY=1 in the server's environment: the environment-changing tools are then not registered at all, so no confirmation can

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