# viaduct-mcp

> viaduct-mcp — quietgridlabs-viaduct-mcp. Use this tool when you need to manage architecture context for AI coding agents, providing a centralized server for version control and collaboration through git integration. It solves problems related to code management, synchronization, and automation, enabling seamless development and deployment. Ideal for use cases involving multiple agents, complex coding projects, and collaborative development environments.

Canonical page: https://skillsregistry.net/skills/quietgridlabs-viaduct-mcp  
JSON: https://api.skillsregistry.net/v1/skills/quietgridlabs-viaduct-mcp

## Description

Architecture context MCP server for AI coding agents.

## Trust

- **Trust score (0–1):** 0.89
- **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/quietgridlabs/viaduct-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": "quietgridlabs-viaduct-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/quietgridlabs-viaduct-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/quietgridlabs-viaduct-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