# MCP-IPFS

> Use this tool when you need to enable decentralized data management and peer-to-peer networking for AI models. It provides content-addressed storage and allows for direct interaction with IPFS, solving problems related to data sharing and collaboration. Ideal for use cases requiring secure and decentralized data exchange, with inputs including model data and outputs including stored and shared content.

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

## Description

A Model Context Protocol server that enables Claude to interact directly with IPFS for content-addressed storage, peer-to-peer networking, and decentralized data management.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/pih5eu64fz)
- **Repository:** <https://github.com/EricGrill/mcp-ipfs>

## 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": "ericgrill-mcp-ipfs"
    }
  }
}
```

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