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alexbakers

🪐 MCP IPFS Server

Publisheralexbakers
Repositorymcp-ipfs
LanguageTypeScript
Forks
12
Stars
16
Available tools
0
Transport typestdio
Categories
LicenseMIT
Links
  • Connect tools to AI workflows

    IPFS Storacha Network exposes MCP capabilities that can be used by compatible AI clients and agents.

  • 0 available tools

    Browse the callable actions below, including names and descriptions when provided by the server.

  • Ready-to-copy setup

    Use the installation snippets to configure this server in your preferred MCP client.

  • Open source signals

    16 stars and 12 forks from the linked repository.

🪐 MCP IPFS Server (storacha.network) šŸ›°ļø

Screenshot

Publish Docker Publish NPM npm version smithery badge

A Node.js server implementing the Model Context Protocol (MCP) for interacting with the storacha.network platform via the w3 command-line interface (@web3-storage/w3cli).

This server empowers language models šŸ¤– and other MCP clients to manage storacha.network spaces, upload/download data, manage delegations, and perform various other tasks by seamlessly wrapping w3 commands.

✨ Features

  • Wraps the w3 CLI for native integration with storacha.network.
  • Provides MCP tools covering a wide range of w3 functionality:
    • šŸ”‘ Authentication & Agent: w3_login, w3_reset, w3_account_ls (for checking authorization)
    • šŸ“¦ Space Management: w3_space_ls, w3_space_use, w3_space_info, w3_space_add, w3_space_provision (Note: w3_space_create must be run manually due to interactive prompts)
    • šŸ’¾ Data Management: w3_up, w3_ls, w3_rm
    • šŸ”— Sharing: w3_open (generates w3s.link URL)
    • šŸ¤ Delegations & Proofs: w3_delegation_create, w3_delegation_ls, w3_delegation_revoke, w3_proof_add, w3_proof_ls
    • šŸ” Keys & Tokens: w3_key_create, w3_bridge_generate_tokens
    • āš™ļø Advanced Storage (w3 can ...): Blob, CAR, Upload, Index, Access Claim, Filecoin Info management
    • šŸ’³ Account & Billing: w3_plan_get, w3_coupon_create, w3_usage_report

šŸ› ļø Prerequisites

  • Node.js: Version 22.0.0 or higher (node -v).
  • w3 CLI: The server executes w3 commands directly. Ensure @web3-storage/w3cli is installed globally and configured:
    bash
    npm install -g @web3-storage/w3cli
    w3 login <your-email@example.com>
    # Follow email verification steps
  • Environment Variable: The w3_login tool requires the W3_LOGIN_EMAIL environment variable to be set to the same email used for w3 login.

šŸ—ļø Project Structure

The codebase is organized as follows:

src/
ā”œā”€ā”€ index.ts          # Main server entry point, MCP setup, request routing
ā”œā”€ā”€ schemas.ts        # Zod schemas defining input arguments for each tool
ā”œā”€ā”€ tool_handlers.ts  # Implementation logic for each MCP tool
ā”œā”€ā”€ utils.ts          # Helper functions (e.g., running w3 commands, parsing JSON)
└── utils/
    └── logger.ts     # Basic logger configuration

šŸš€ Usage with MCP Clients

This server can be used with any MCP-compatible client. You need to configure your client to connect to this server.

Example: NPX (Recommended for simple local use)

This assumes npm and the prerequisites are met.

json
{
  "mcpServers": {
    "ipfs": {
      "command": "npx",
      "args": ["-y", "mcp-ipfs"],
      "env": {
        "W3_LOGIN_EMAIL": "your-email@example.com"
      }
    }
  }
}

Example: Docker

Build the image first (see Build section) or use the pre-built image alexbakers/mcp-ipfs.

json
{
  "mcpServers": {
    "mcp-ipfs": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "-v",
        "/path/to/your/project:/path/to/your/project",
        "-e",
        "W3_LOGIN_EMAIL",
        "alexbakers/mcp-ipfs"
      ],
      "env": {
        "W3_LOGIN_EMAIL": "your-email@example.com"
      }
    }
  }
}

šŸ“ Note on Paths:

Several w3 commands require absolute filesystem paths (e.g., w3_up, w3_delegation_create --output, w3_proof_add, w3_can_blob_add, w3_can_store_add).

  • NPX: Provide absolute paths from your host machine.
  • Docker: Provide absolute paths inside the container. If interacting with files from your host (e.g., uploading), you must mount the relevant host directory into the container using the -v flag (e.g., -v /Users/me/project:/Users/me/project) and then use the container path (e.g., /Users/me/project/my_file.txt) in the tool arguments.

šŸ“¦ Build

Clone the repository and install dependencies:

bash
git clone https://github.com/alexbakers/mcp-ipfs.git
cd mcp-ipfs
npm install

Build the TypeScript code:

bash
npm run build

You can then run the server directly:

bash
# Ensure W3_LOGIN_EMAIL is set in your environment
export W3_LOGIN_EMAIL="your-email@example.com"
node dist/index.js

Or publish it (if you have the rights):

bash
npm publish

🐳 Docker Build

Build the Docker image:

bash
# Build locally (replace with your username/repo and desired tag)
docker build -t alexbakers/mcp-ipfs .

šŸ“œ License

This MCP server is licensed under the MIT License. See the LICENSE file for details.

Installation

TypingMind
Prerequisites:

Node.js 18+

{
  "mcpServers": {
    "ipfs": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-ipfs"
      ],
      "env": {
        "W3_LOGIN_EMAIL": "your-email@example.com"
      }
    }
  }
}

Use IPFS Storacha Network MCP with multiple AI models

TypingMind connects MCP tools at the workspace level, so once IPFS Storacha Network is connected, you can use it with different AI models in TypingMind instead of setting it up separately for each model. This MCP runs locally through the TypingMind MCP connector on your device.

Setup guide to use the local connector

Use this when the MCP server needs access to local files, apps, or private resources on your computer.

1

Open the MCP settings

In TypingMind, go to Settings, Advanced Settings, then Model Context Protocol and choose Setup Connector.

  1. Open TypingMind in your browser.
  2. Click the Settings icon.
  3. Go to Advanced Settings.
  4. Open the Model Context Protocol section.
  5. Click Setup Connector and choose This Device.
TypingMind MCP connector setup screen with This Device selected
2

Run the connector command

Choose This Device, copy the command from TypingMind, and run it in Terminal. Keep the process running while you use MCP.

  1. Copy the setup command shown by TypingMind.
  2. Open Terminal on macOS or Windows Terminal on Windows.
  3. Paste and run the command.
  4. Approve the package install if Terminal asks you to proceed.
  5. Keep the Terminal window running while using MCP tools.
3

Add IPFS Storacha Network as a server

When the connector status is Ready, click Edit Servers and paste the MCP server configuration.

  1. Wait until the connector status shows Ready.
  2. Click Edit Servers.
  3. Paste the IPFS Storacha Network MCP server configuration.
  4. Save the server list.
  5. Refresh if you want to confirm the connector is still ready.
TypingMind MCP settings showing active server and Edit Servers button
{
  "mcpServers": {
    "ipfs-storacha-network": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-ipfs"
      ]
    }
  }
}
4

Use it across models

Save the server list, open Plugins, enable the IPFS Storacha Network MCP tools, then select any supported AI model in TypingMind and use the tools in chat or assign them to an AI agent.

  1. Open the Plugins page in TypingMind.
  2. Enable the IPFS Storacha Network MCP tools.
  3. Start a chat and choose the AI model you want to use.
  4. Use the MCP tools in chat or assign them to an AI agent.
  5. Switch to another AI model whenever needed without reconnecting MCP.
TypingMind chat using enabled MCP tools with a selected AI model
Can you use IPFS Storacha Network to help me with this task?
IPFS Storacha Network
Sure. I read it.
Here is what I found using IPFS Storacha Network.

Frequently asked questions

What is the IPFS Storacha Network MCP server used for?

IPFS Storacha Network is an MCP server that lets compatible AI clients connect to external tools and context. In TypingMind, you can add this MCP server once and make its tools available in your AI workspace.

Can I use IPFS Storacha Network MCP with multiple AI models in TypingMind?

Yes. TypingMind connects MCP tools at the workspace level, so you can use IPFS Storacha Network with different AI models such as Claude, ChatGPT, Gemini, or other models you have configured in TypingMind without setting up the MCP server separately for each model.

Why use IPFS Storacha Network MCP with TypingMind?

TypingMind is one of the best frontends for LLM chat because it brings multiple AI models, prompts, plugins, AI agents, API keys, and MCP tools into one workspace. With IPFS Storacha Network connected, you can use its MCP tools across your preferred models while keeping your chat workflow organized in TypingMind.

How do I connect IPFS Storacha Network MCP to TypingMind?

IPFS Storacha Network runs through the TypingMind local MCP connector. This is best when the MCP server needs access to local files, desktop apps, command-line tools, or private resources on your computer.

What tools does IPFS Storacha Network MCP provide in TypingMind?

IPFS Storacha Network exposes MCP capabilities that can be enabled from the TypingMind Plugins page and used in chat or assigned to AI agents.

Do I need to share my API keys with TypingMind to use IPFS Storacha Network MCP?

No. TypingMind is local-first and lets you keep your model providers, API keys, prompts, and MCP configuration under your control. If IPFS Storacha Network requires authentication, add the required headers, OAuth settings, or local configuration for that MCP server when you create the connection.

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