Akash MCP Server

Apache 2.0
  • Apple

Integrations

  • Mentioned as a community platform for the Akash Network, with a badge linking to Discord for user support.

  • Used for repository hosting and integration with awesome-akash repository to retrieve SDL templates.

  • Required as a runtime environment for the MCP server, with version 18 or later needed to run the application.

Akash MCP Server

Akash MCP Server is a TypeScript implementation of a Model Context Protocol (MCP) server for interacting with the Akash Network.

Note

This project is still under development and not all tools are available. We are working on adding more tools and improving the server. We are open to contributions! See CONTRIBUTING.md for more details.

Overview

This server provides a bridge between AI agents and the Akash Network, allowing AI models to deploy applications, create leases, manage deployments, and interact with other Akash services directly through typed tools. It implements the Model Context Protocol, making it compatible with various AI platforms and tools.

Features

  • Wallet and Client Management: Handles Akash wallet authentication and client initialization
  • Certificate Management: Manages Akash certificates
  • Tools for Akash Interaction:
    • Account address retrieval
    • Deployment creation and management
    • SDL (Stack Definition Language) operations
    • Bid management
    • Lease creation
    • Manifest deployment

Prerequisites

  • Node.js (v18 or later)
  • An Akash wallet (mnemonic required for interaction with Akash Network)
  • Basic knowledge of Akash Network

Installation

  1. Clone the repository:
    git clone https://github.com/akash-network/mcp.git cd mcp
  2. Install dependencies:
    npm install
  3. Build the project:
    npm run build

Usage with Claude Desktop or Cursor

Add the following to your claude_desktop_config.json or .cursor/mcp.json. See here for more details.

Make sure to replace <path to dist/index.js> with the path to the dist/index.js file you built.

{ "mcpServers": { "Akash": { "command": "node", "args": ["<path to dist/index.js>"], "env": { "AKASH_MNEMONIC": "<your mnemonic here>", "AKASH_RPC_URL": "https://rpc.akashnet.net:443" // optional, defaults to https://rpc.akashnet.net:443 } } } }

Usage

Development Mode

Run the server with the MCP inspector for development:

npm run dev

For watch mode during development:

npm run dev:watch

Using the Server with AI Models

The server exposes a standard MCP interface that can be used by AI models to interact with the Akash Network. It uses the stdio transport by default, making it compatible with most MCP clients.

Available Tools

The server provides the following tools for AI agents:

  • GetAccountAddrTool: Retrieve your Akash account address
  • GetBidsTool: Get bids for deployments
  • CreateDeploymentTool: Create a new deployment on the Akash Network
  • GetSDLsTool: Get a list of available SDLs (from awesome-akash repository)
  • GetSDLTool: Get a specific SDL by name
  • SendManifestTool: Send a manifest to a provider
  • CreateLeaseTool: Create a lease with a provider
  • GetServicesTool: Get information about active services

Development

Linting and Formatting

# Run linter npm run lint # Fix linting issues npm run lint:fix # Format code npm run format

License

See LICENSE

Acknowledgements

-
security - not tested
A
license - permissive license
-
quality - not tested

A TypeScript server implementing the Model Context Protocol that enables AI agents to interact with the Akash Network, allowing them to deploy applications, create leases, manage deployments, and access other Akash services through typed tools.

  1. Note
    1. Overview
      1. Features
        1. Prerequisites
          1. Installation
            1. Usage with Claude Desktop or Cursor
              1. Usage
                1. Development Mode
                2. Using the Server with AI Models
              2. Available Tools
                1. Development
                  1. Linting and Formatting
                2. License
                  1. Acknowledgements

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