# mcp-sciencebase

> mcp-sciencebase — pipeworx-io-mcp-sciencebase. Use this tool when you need to manage and catalog scientific data and projects, particularly for USGS ScienceBase, to solve problems related to data organization and collaboration. It provides a git-based interface for inputs and outputs, streamlining the management of scientific projects and data. Ideal for use in research and scientific contexts where data cataloging and version control are essential.

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

## Description

USGS ScienceBase catalog MCP.

## Trust

- **Trust score (0–1):** 0.97
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/pipeworx-io/mcp-sciencebase)

## 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": "pipeworx-io-mcp-sciencebase"
    }
  }
}
```

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