What is akash network mcp
Akash MCP Server
Akash MCP Server is a TypeScript implementation of a Model Context Protocol (MCP) server for interacting with the Akash Network.
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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
-
Clone the repository:
git clone https://github.com/akash-network/mcp.git cd mcp
-
Install dependencies:
npm install
-
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 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
- UpdateDeploymentTool: Update a deployment on Akash Network
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
- Akash Network
- Model Context Protocol
- awesome-akash (included as a submodule)
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Frequently Asked Questions
What is MCP?
MCP (Model Context Protocol) is an open protocol that standardizes how applications provide context to LLMs. Think of MCP like a USB-C port for AI applications, providing a standardized way to connect AI models to different data sources and tools.
What are MCP Servers?
MCP Servers are lightweight programs that expose specific capabilities through the standardized Model Context Protocol. They act as bridges between LLMs like Claude and various data sources or services, allowing secure access to files, databases, APIs, and other resources.
How do MCP Servers work?
MCP Servers follow a client-server architecture where a host application (like Claude Desktop) connects to multiple servers. Each server provides specific functionality through standardized endpoints and protocols, enabling Claude to access data and perform actions through the standardized protocol.
Are MCP Servers secure?
Yes, MCP Servers are designed with security in mind. They run locally with explicit configuration and permissions, require user approval for actions, and include built-in security features to prevent unauthorized access and ensure data privacy.
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