# navisworks-viewpoints-mcp

> Use this tool when you need to manage and synchronize Navisworks viewpoints across multiple sources, enabling efficient sorting, auditing, and merging of viewpoint XML files. It solves problems related to viewpoint consistency and collaboration, providing a centralized MCP server for AI clients to access and update viewpoints. The tool accepts Navisworks viewpoint XML files as input and outputs synchronized and merged viewpoints, streamlining workflows in architecture, engineering, and construction projects.

Canonical page: https://skillsregistry.net/skills/mikhalchankasm-navisworks-viewpoints-mcp  
JSON: https://api.skillsregistry.net/v1/skills/mikhalchankasm-navisworks-viewpoints-mcp

## Description

MCP server for managing Navisworks viewpoint XML files, enabling sorting, auditing, merging, and synchronizing viewpoints from any MCP-compatible AI client.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** file-system
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/miakm254ka)
- **Repository:** <https://github.com/mikhalchankasm/navisworks-viewpoints-mcp>

## 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": "mikhalchankasm-navisworks-viewpoints-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/mikhalchankasm-navisworks-viewpoints-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/mikhalchankasm-navisworks-viewpoints-mcp/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
