# protein-lab

> protein-lab — qingmingmiku-protein-lab. Use this tool when you need to manage and analyze protein experiments locally, solving problems such as protein library organization and experiment data archiving. It takes in experimental data and settings as inputs and outputs calculated concentrations, dilution plans, and archived experiment records through a Flask backend and SQLite interface. Ideal for biochemistry research contexts where efficient protein experiment management is crucial.

Canonical page: https://skillsregistry.net/skills/qingmingmiku-protein-lab  
JSON: https://api.skillsregistry.net/v1/skills/qingmingmiku-protein-lab

## Description

Manages local protein experiments with a Flask backend and SQLite, offering tools for protein library management, Beer-Lambert concentration calculations, BLI dilution planning, and experiment archiving. It provides 7 MCP tools for AI assistants like Claude to interact with the system.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/dya6nvqdy5)
- **Repository:** <https://github.com/QINGMINGMIKU/protein-lab>

## 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": "qingmingmiku-protein-lab"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/qingmingmiku-protein-lab` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/qingmingmiku-protein-lab/pull`

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