MCP
Provides core framework for building MCP-compliant AI agents and tools in PowerShell.
What is MCP?
what is MCP? MCP is a core framework designed for building MCP-compliant AI agents and tools using PowerShell. how to use MCP? To use MCP, install the module via PowerShell with the command Install-Module MCP, then import it using Import-Module MCP to start building your applications. key features of MCP? JSON-RPC 2.0 compliant message classes for communication. Full support for MCP enumeration and protocol version negotiation. Session management with connection lifecycle handling. Multiple transport layers for communication (process-based and HTTP/SSE). Type safety and serialization features for JSON and POCO conversion. Structured error handling with protocol-compliant error codes. use cases of MCP? Developing AI agents that require compliant communication protocols. Building tools that need robust session management and error handling. Implementing applications that utilize JSON-RPC for messaging. FAQ from MCP? What is the primary purpose of MCP? MCP serves as a framework for creating AI agents and tools that adhere to the MCP protocol. Is MCP compatible with all versions of PowerShell? MCP requires PowerShell 7 or higher for certain async features. What transport methods does MCP support? MCP supports both process-based communication and HTTP/SSE streaming.
As an MCP (Model Context Protocol) server, MCP enables AI agents to communicate effectively through standardized interfaces. The Model Context Protocol simplifies integration between different AI models and agent systems.
How to use MCP
To use MCP, install the module via PowerShell with the command Install-Module MCP, then import it using Import-Module MCP to start building your applications. key features of MCP? JSON-RPC 2.0 compliant message classes for communication. Full support for MCP enumeration and protocol version negotiation. Session management with connection lifecycle handling. Multiple transport layers for communication (process-based and HTTP/SSE). Type safety and serialization features for JSON and POCO conversion. Structured error handling with protocol-compliant error codes. use cases of MCP? Developing AI agents that require compliant communication protocols. Building tools that need robust session management and error handling. Implementing applications that utilize JSON-RPC for messaging. FAQ from MCP? What is the primary purpose of MCP? MCP serves as a framework for creating AI agents and tools that adhere to the MCP protocol. Is MCP compatible with all versions of PowerShell? MCP requires PowerShell 7 or higher for certain async features. What transport methods does MCP support? MCP supports both process-based communication and HTTP/SSE streaming.
Learn how to integrate this MCP server with your AI agents and leverage the Model Context Protocol for enhanced capabilities.
Use Cases for this MCP Server
- No use cases specified.
MCP servers like MCP can be used with various AI models including Claude and other language models to extend their capabilities through the Model Context Protocol.
About Model Context Protocol (MCP)
The Model Context Protocol (MCP) is a standardized way for AI agents to communicate with various services and tools. MCP servers like MCP provide specific capabilities that can be accessed through a consistent interface, making it easier to build powerful AI applications with complex workflows.
Browse the MCP Directory to discover more servers and clients that can enhance your AI agents' capabilities.