# science-mcp

> science-mcp — ecosyste-ms-science-mcp. Use this tool when you need to manage and retrieve science software metadata, solving problems related to data discovery and integration. It provides a local SQLite lookup and live API context, accepting git inputs and outputting relevant metadata. Ideal for use cases involving scientific software management and development, where efficient data access and version control are crucial.

Canonical page: https://skillsregistry.net/skills/ecosyste-ms-science-mcp  
JSON: https://api.skillsregistry.net/v1/skills/ecosyste-ms-science-mcp

## Description

MCP server for ecosyste.ms Science software metadata, with local SQLite lookup and live API context.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-21

## Source

- **Source listing:** [GitHub](https://github.com/ecosyste-ms/science-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": "ecosyste-ms-science-mcp"
    }
  }
}
```

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