# MCPSharp

> MCPSharp — afrise-mcpsharp. Use this tool when you need to build and integrate Model Context Protocol (MCP) servers and clients for AI assistants and models. It solves problems related to standardized API protocol implementation, enabling seamless communication between AI systems. With MCPSharp, you can create .NET-based MCP solutions that accept and output standardized protocol data, ideal for use cases requiring interoperability between AI models and assistants.

Canonical page: https://skillsregistry.net/skills/afrise-mcpsharp  
JSON: https://api.skillsregistry.net/v1/skills/afrise-mcpsharp

## Description

MCPSharp is a .NET library that helps you build Model Context Protocol (MCP) servers and clients - the standardized API protocol used by AI assistants and models.

## 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
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/afrise/MCPSharp)

## 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": "afrise-mcpsharp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/afrise-mcpsharp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/afrise-mcpsharp/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