About Copilot Studio
Copilot Studio MCP is a server for MCP-compatible clients that brings Copilot Studio agent and workflow lifecycle operations into one interface. It supports tasks from authoring and testing through deployment, monitoring, and management.
Key features
- 01Discover connector operations and schemas
- 02Manage agent drafts and lifecycle
- 03Create and test workflows
- 04Inspect run diagnostics and credit usage
- 05Access Copilot Studio guidance skills
Use cases
- 01Author or manage Copilot Studio agents
- 02Test workflows and diagnose runs
- 03Inspect connector operations and resources
- 04Review environment credit capacity and history
MCP support
The server exposes Copilot Studio tools to MCP-compatible clients. The client launches the npm package over stdio; after sign-in and environment selection, it connects to the hosted service using the user's identity and permissions.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
Tools
9Saved tool list · updated 1w ago
This tool takes no parameters.
Details
From the project READMECopilot Studio MCP
Microsoft Copilot Studio MCP brings Copilot Studio tools into Model Context Protocol (MCP)-compatible CLIs, developer tools, and agentic interfaces. It provides a single entry point for working across the agent and automation lifecycle, from creation and configuration to testing, deployment, monitoring, and ongoing management.
This repository hosts the source for the MCP server. The server itself is
published and installed from the npm package
@microsoft/copilot-studio-mcp.
It's also discoverable through the
GitHub MCP Registry and the
official MCP Registry.
Your client launches this package with npx. The server connects to Copilot
Studio's hosted service after you sign in and select an environment, so access
stays tied to your identity, environment permissions, and organizational
policies.
Notice
If your organization requires Federal Risk and Authorization Management Program (FedRAMP) High compliance, the GitHub Copilot harness agent turns off at runtime to prevent data egress from the FedRAMP High compliance boundary.
Prerequisites
- Node.js 22.18 or later (Node.js 24 LTS recommended)
- A working MCP-compatible client: GitHub Copilot CLI, Visual Studio Code, or another MCP-compatible host
- A Microsoft work account with access to a Copilot Studio environment
Install
Configure your client to launch the package with:
npx -y @microsoft/copilot-studio-mcp@latest
The client starts the server process and communicates with it over standard
input/output (stdio). The package handles the connection to the hosted
Copilot Studio service; you don't enter a remote MCP URL or clone this source
repository. You can also install the server directly from the GitHub MCP
Registry or a supported client's MCP gallery (for example, VS Code's
@mcp/"Browse MCP Servers" gallery) and follow the listing's installation
option for your client.
Available tools
After you sign in and select an environment, the server makes the connected service's tools available. The service catalog includes the following tools. Connection and sign-in utilities are separate.
| Tool | Description |
|---|---|
discover_resources | Discover connector operations and schemas, existing connections, dependent parameter values, and attachable resources. |
get_consumption | Read historical agent or workflow credit consumption, or current environment credit capacity. |
manage_agents | Manage agent inventory, complete draft authoring, lifecycle, published-agent sharing, saved-draft previews, and agent evaluation suites and runs. |
manage_workflows | Manage workflow inventory, complete draft authoring, lifecycle, real tests, and run diagnostics. |
get_copilot_studio_skills | Start here for Copilot Studio guidance. Read the matching core skill before authoring, then read schema.json. |
The management, discovery, and consumption tools expose individual operations
through action and parameters. The current tool schemas identify the
advertised actions and their inputs. To read the focused contract and
side-effect information for an action before you construct unfamiliar
arguments, use discover_resources with action=describe_actions.
Troubleshooting
If setup fails, stop and report the error without sharing credentials or configuration JSON. DNS, refused/reset connections, and network timeouts have distinct safe cause codes. Check endpoint availability and network/proxy settings before an explicit retry; another call does not repair missing environment routing.
See SUPPORT.md for how to get help with this project.
Security
See SECURITY.md for how to report security issues.
License
Licensed under the MIT License.
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.