# io.scispot/mcp

> Use this tool when you need to streamline laboratory workflows and data analysis by leveraging large language models (LLMs) to search samples, track experiments, and analyze data. It solves problems related to data management, experiment organization, and insight generation in laboratory settings. The tool takes in laboratory data and experiment information as input and outputs analyzed results and insights, making it an ideal solution for researchers and scientists looking to optimize their workflows.

Canonical page: https://skillsregistry.net/skills/io-scispot-mcp  
JSON: https://api.skillsregistry.net/v1/skills/io-scispot-mcp

## Description

Turn any LLM into your lab assistant: search samples, track experiments, analyze data with AI.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-28

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.scispot%2Fmcp)
- **Repository:** <https://github.com/scispot-repo/scispot-mcp-server>

## Use it

MCP endpoint published by the skill: `https://mcp.scispot.io/`

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": "io-scispot-mcp"
    }
  }
}
```

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

---
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