# scigantic-mcp

> scigantic-mcp — scigantic-scigantic-mcp. Use this tool when you need to discover and access a vast catalog of curated public scientific data archives across various domains. The scigantic-mcp server provides a zero-config interface for natural-language search, dataset inspection, and data access, solving problems of data discovery and integration in scientific research. It accepts natural-language queries as input and outputs relevant dataset information, file listings, and code snippets for easy data access.

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

## Description

A zero-config, discovery-only Model Context Protocol server that exposes Scigantic's catalog of 5,000+ curated public scientific data archives with LLM-ready schema cards, enabling natural-language search, dataset inspection, file listing, and data-access code snippets across all scientific domains. Designed as a cross-domain launchpad for Kiro for Life Sciences and other stdio MCP clients.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/javj5gstjm)
- **Repository:** <https://github.com/Scigantic/scigantic-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": "scigantic-scigantic-mcp"
    }
  }
}
```

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