# swanlab-mcp

> Use this tool when you need to access SwanLab resources without modifying them, providing read-only access to workspaces, projects, runs, and metrics through the Model Context Protocol, solving data sharing and collaboration challenges. It takes in authentication credentials as input and outputs relevant data, enabling seamless integration with other tools and workflows. Ideal for use cases requiring secure, controlled access to SwanLab data, such as data analysis, reporting, or auditing.

Canonical page: https://skillsregistry.net/skills/nexisato-swanlab-mcp  
JSON: https://api.skillsregistry.net/v1/skills/nexisato-swanlab-mcp

## Description

Enables read-only access to SwanLab workspaces, projects, runs, and metrics through the Model Context Protocol.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** monitoring
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/y8gz620ucp)
- **Repository:** <https://github.com/Nexisato/SwanLab-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": "nexisato-swanlab-mcp"
    }
  }
}
```

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