# mcp-osf

> mcp-osf — pipeworx-io-mcp-osf. Use this tool when you need to manage and version control research projects and data through the Open Science Framework. It solves problems of data sharing, collaboration, and reproducibility by providing a centralized platform for researchers to organize and share their work. The tool accepts git inputs and provides a web-based interface for output, ideal for use in research and academic contexts.

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

## Description

OSF (Open Science Framework, by the Center for Open Science) MCP.

## 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:** 2026-09-26

## Source

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

## 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-osf"
    }
  }
}
```

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