Copilot Studio Agent Direct Line MCP
The Copilot Studio Agent Direct Line MCP Server is a local MCP server that allows developers to directly interact with Microsoft Copilot Studio Agents in their code editors through the Direct Line 3.0 API, providing functions such as conversation management, message sending, and history retrieval.
rating : 2.5 points
downloads : 0
What is the Copilot Studio Agent MCP Server?
This is a Model Context Protocol (MCP) server specifically designed to connect to Microsoft Copilot Studio agents. It enables you to directly interact with your Copilot Studio agents in Visual Studio Code or other MCP - supported editors without leaving your development environment.How to use this service?
After installation, you can use specialized tools in MCP - supported editors to start conversations, send messages, view history, and manage interactions with Copilot Studio agents. The entire process is completed within the editor, providing a seamless development experience.Use cases
This service is particularly suitable for developers to quickly consult Copilot Studio agents while writing code, test conversation flows, debug agent behaviors, or get immediate help and guidance during the development process.Main Features
Direct Line 3.0 Integration
Fully supports the Microsoft Bot Framework Direct Line API, ensuring a stable connection with Copilot Studio agents.
Conversation State Management
Automatically manages the conversation lifecycle, supports a 30 - minute idle timeout, and optimizes resource usage.
Token Management
Automatically caches tokens and actively refreshes them to ensure stability during long - term use.
Four Interaction Tools
Provides four dedicated tools for sending messages, starting conversations, ending conversations, and getting history.
Comprehensive Error Handling
11 dedicated error types, OAuth - specific retry strategies, and MCP error conversion.
Security Assurance
Key masking in logs, secure environment configuration, and no disk persistence.
Production Ready
Supports deployment on Azure Container Apps, Docker, and Kubernetes.
Advantages
Seamless integration with the development environment, no need to switch applications
Simple tool design, each tool focuses on a single function
Complete error handling and retry mechanism
Supports production - environment deployment
Automatic token management and conversation state maintenance
Limitations
Requires a Copilot Studio agent and a Direct Line key
Requires a Node.js 18+ runtime environment
Only supports text interaction, does not support multimedia content
Depends on the availability of the Microsoft Bot Framework service
How to Use
Environment Preparation
Install VS Code or VS Code Insiders, ensure Node.js 18+ is installed, and obtain the Direct Line key for your Copilot Studio agent.
One - Click Installation
Click the install button and enter the Direct Line key to complete the configuration.
Enable Proxy Mode
Switch to proxy mode in GitHub Copilot Chat and select available tools.
Start a Conversation
Use the provided tools to start interacting with the Copilot Studio agent.
Usage Examples
Technical Consultation Conversation
When encountering technical problems during development, directly consult the Copilot Studio agent for solutions.
Product Information Query
Quickly query product specifications, pricing, or feature information without leaving the development environment.
Conversation Flow Testing
Test the conversation logic and response accuracy of the Copilot Studio agent.
Multi - Round Conversation Management
Conduct complex multi - round conversations and correctly clean up resources after completion.
Frequently Asked Questions
How to obtain a Direct Line key?
Which code editors are supported?
Where is the conversation data stored?
How to handle connection failures?
Does it support team collaboration?
Related Resources
GitHub Repository
Project source code and latest updates
Usage Guide Documentation
Detailed tool usage instructions and best practices
Troubleshooting Guide
Solutions to common problems and debugging methods
Examples and Best Practices
Usage cases and recommended workflows
Microsoft Copilot Studio Documentation
Official Copilot Studio documentation and tutorials

Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
23.3K
5 points

Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
15.7K
4.5 points

Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
44.5K
4.3 points

Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
15.6K
4.3 points

Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
44.1K
4.5 points

Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
20.2K
5 points

Minimax MCP Server
The MiniMax Model Context Protocol (MCP) is an official server that supports interaction with powerful text-to-speech, video/image generation APIs, and is suitable for various client tools such as Claude Desktop and Cursor.
Python
30.2K
4.8 points

Gmail MCP Server
A Gmail automatic authentication MCP server designed for Claude Desktop, supporting Gmail management through natural language interaction, including complete functions such as sending emails, label management, and batch operations.
TypeScript
15.8K
4.5 points