# mcp-with-semantic-kernel

> mcp-with-semantic-kernel — liteobject-mcp-with-semantic-kernel. Use this tool when you need to integrate Model Context Protocol (MCP) tools with Microsoft Semantic Kernel for AI-powered development. It solves problems related to tool orchestration, error handling, and server connectivity, providing a robust client with 23+ built-in tools and interactive CLI. Ideal for use cases involving .NET development, git integration, and external server connectivity, such as GitHub and Everything.

Canonical page: https://skillsregistry.net/skills/liteobject-mcp-with-semantic-kernel  
JSON: https://api.skillsregistry.net/v1/skills/liteobject-mcp-with-semantic-kernel

## Description

A comprehensive .NET demonstration of integrating Model Context Protocol (MCP) tools with Microsoft Semantic Kernel. Features a robust MCP client with 23+ built-in tools, intelligent error handling, and AI-powered tool orchestration. Includes both local .NET MCP server and external server connectivity (GitHub, Everything) with interactive CLI for t

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** Apache-2.0
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/LiteObject/mcp-with-semantic-kernel)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "liteobject-mcp-with-semantic-kernel"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/liteobject-mcp-with-semantic-kernel` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/liteobject-mcp-with-semantic-kernel/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt