# .NET Types Explorer MCP Server

> Use this tool when you need to understand and navigate .NET codebases, as it provides detailed type information from .NET projects for AI coding agents. It solves problems related to code exploration, discovery, and analysis, enabling agents to work more effectively with .NET code. The server takes in .NET project data as input and outputs structured type information via the Model Context Protocol (MCP) interface.

Canonical page: https://skillsregistry.net/skills/v0v1kkk-dotnetmetadatamcpserver  
JSON: https://api.skillsregistry.net/v1/skills/v0v1kkk-dotnetmetadatamcpserver

## Description

A Model Context Protocol (MCP) server that provides detailed type information from .NET projects for AI coding agents.

The .NET Types Explorer MCP Server is a powerful tool designed to help AI coding agents understand and work with .NET codebases. It provides a structured way to explore assemblies,

## 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:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/tt63ohixdx)
- **Repository:** <https://github.com/V0v1kkk/DotNetMetadataMcpServer>

## 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": "v0v1kkk-dotnetmetadatamcpserver"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/v0v1kkk-dotnetmetadatamcpserver` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/v0v1kkk-dotnetmetadatamcpserver/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