# NuGet Package Browser

> Use this tool when you need to inspect and verify the actual API surface of NuGet packages in .NET projects, eliminating potential errors from hallucinated API calls. It provides a detailed view of types, members, and XML documentation, allowing for accurate analysis and integration. Ideal for use cases requiring precise API inspection, such as project loading, type searching, and member retrieval.

Canonical page: https://skillsregistry.net/skills/roboz0r-nuget-package-browser  
JSON: https://api.skillsregistry.net/v1/skills/roboz0r-nuget-package-browser

## Description

Allows AI agents to inspect the real API surface of NuGet packages used in .NET projects, eliminating hallucinated API calls. Provides tools for loading projects, searching types and members, and retrieving detailed type definitions with XML documentation. Built in F# and distributed as a .NET global tool via NuGet. Claude Code integration included via .mcp.json.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** browser-automation
- **Updated:** 2026-09-02

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/roboz0r-nuget-package-browser)
- **Repository:** <https://github.com/roboz0r/nuget-package-server>

## 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": "roboz0r-nuget-package-browser"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/roboz0r-nuget-package-browser` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/roboz0r-nuget-package-browser/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