# LabArchives MCP Server

> Use this tool when you need to integrate AI assistants with electronic lab notebooks, enabling seamless querying and navigation of lab data. It solves problems of data accessibility and reproducibility by providing semantic search and file uploads with provenance tracking. The LabArchives MCP Server takes AI queries as input and returns relevant lab data as output, ideal for use cases requiring automated data analysis and retrieval in research environments.

Canonical page: https://skillsregistry.net/skills/samuelbrudner-lab-archives-mcp  
JSON: https://api.skillsregistry.net/v1/skills/samuelbrudner-lab-archives-mcp

## Description

Connects AI assistants to LabArchives electronic lab notebooks, enabling querying, semantic search, page navigation, and file uploads with provenance tracking.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/b3dqoarbm9)
- **Repository:** <https://github.com/SamuelBrudner/lab_archives_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": "samuelbrudner-lab-archives-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/samuelbrudner-lab-archives-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/samuelbrudner-lab-archives-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