Akash Network (Decentralized GPU & Cloud API) Connector for AI agents.
13 live capabilities
Provision and manage decentralized GPU compute resources with natural language.
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Why people use Akash Network (Decentralized GPU & Cloud API)
Akash Network for Decentralized GPU Provisioning
This Connector lets you handle that entire lifecycle through your AI client. You just tell your agent what you need, and it handles the bidding, lease creation, and escrow management for you.
What Vinkius changes
You get a natural language interface for managing decentralized GPU infrastructure.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 6,100+ Connectors
- Real-world use case 01
Training a large language model
An AI researcher needs 8x H100s.
- Real-world use case 02
Managing a dApp backend
A developer wants to ensure their nodes stay up.
- Real-world use case 03
Scaling inference
A startup needs to scale GPU inference.
Complete set · 13capabilities
The complete Akash Network (Decentralized GPU & Cloud API) capability set.
These are the exact actions your AI can choose when you ask it to work with Akash Network (Decentralized GPU & Cloud API).
01—04
4 capabilities in this set.
Part of 13 available through Akash Network (Decentralized GPU & Cloud API).
- 01 Capability
Create lease
Accepts a provider bid and creates a lease for your compute resources. It locks in your hardware at a specific price.
- 02 Capability
Get deployment settings
Retrieves the current auto top-up settings for a specific deployment. Use this to check your automation status.
- 03 Capability
Get deployment
Fetches full details and status for a specific deployment. It provides a complete overview of your active workload.
- 04 Capability
Get provider
Shows specific details for a provider on the Akash network. Use this to vet the hardware and reliability of a host.
05—07
3 capabilities in this set.
Part of 13 available through Akash Network (Decentralized GPU & Cloud API).
- 05 Capability
Update deployment settings
Modifies the configuration settings for an active deployment. Use this to make live changes to your running infrastructure.
- 06 Capability
Update deployment
Updates the details of an existing, active deployment. This allows for granular adjustments to your running workloads.
- 07 Capability
Create deployment
Creates a new deployment using a standard SDL manifest. This is the primary way to launch your infrastructure.
08—10
3 capabilities in this set.
Part of 13 available through Akash Network (Decentralized GPU & Cloud API).
- 08 Capability
List bids
Polls for provider bids for a specific deployment. This lets your agent find the best available price for your needs.
- 09 Capability
List deployments
Lists all deployments currently running on your account. It gives you a high-level view of your entire fleet.
- 10 Capability
List providers
Shows a list of all network-wide providers. This helps you see the breadth of available hardware on the network.
11—13
3 capabilities in this set.
Part of 13 available through Akash Network (Decentralized GPU & Cloud API).
- 11 Capability
Close deployment
Ends an active deployment and releases the associated resources. This helps you free up hardware and stop costs.
- 12 Capability
Add deposit
Adds USD funds to a deployment escrow to extend your runtime. Use this to prevent your jobs from stopping early.
- 13 Capability
Enable auto top up
Turns on auto top-up settings to keep your services running. It automates your funding so you don't have to monitor it.
Set up in minutes
One URL. Then ask Akash Network (Decentralized GPU & Cloud API) to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Akash Network (Decentralized GPU & Cloud API) from the conversation.
Choose your client
Live previewAdvanced clients IDE · CLI
Claude · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_EuiIRYnmcVok7TPlrVtxL0krEFU1GLjnS5iObiJa/mcp - Step 01
Open Connectors
In Claude Web or Claude Desktop, open Settings and choose Connectors.
- Step 02
Add the URL
Choose Add custom connector, name it Akash Network (Decentralized GPU & Cloud API), and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Akash Network (Decentralized GPU & Cloud API) for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_EuiIRYnmcVok7TPlrVtxL0krEFU1GLjnS5iObiJa/mcp - Step 01
Open MCP settings
On desktop, open Settings and MCP servers. On web, open your workspace app or connector settings.
- Step 02
Add the URL
Choose Add server with Streamable HTTP, or create a custom MCP app, then paste the Akash Network (Decentralized GPU & Cloud API) URL.
- Step 03
Save and start
Save the connection and enable Akash Network (Decentralized GPU & Cloud API) in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"akash-network-decentralized-gpu-cloud-api": {
"url": "https://edge.vinkius.com/vk_preview_EuiIRYnmcVok7TPlrVtxL0krEFU1GLjnS5iObiJa/mcp"
}
}
}- Step 01
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
- Step 02
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
- Step 03
Save the file
Cursor will automatically detect the new Connector
- Step 04
Start using Akash Network (Decentralized GPU & Cloud API)
Open Agent mode in chat and ask: "Using Akash Network (Decentralized GPU & Cloud API), help me...". 13 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"akash-network-decentralized-gpu-cloud-api": {
"url": "https://edge.vinkius.com/vk_preview_EuiIRYnmcVok7TPlrVtxL0krEFU1GLjnS5iObiJa/mcp"
}
}
}- Step 01
Create MCP config
Create a .vscode/mcp.json file in your project root
- Step 02
Add the server config
Paste the JSON configuration above
- Step 03
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
- Step 04
Start using Akash Network (Decentralized GPU & Cloud API)
Ask Copilot: "Using Akash Network (Decentralized GPU & Cloud API), help me...". 13 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"akash-network-decentralized-gpu-cloud-api": {
"url": "https://edge.vinkius.com/vk_preview_EuiIRYnmcVok7TPlrVtxL0krEFU1GLjnS5iObiJa/mcp"
}
}
}- Step 01
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
- Step 02
Add the server
Paste the JSON configuration above into mcp_config.json
- Step 03
Save and reload
Windsurf will detect the new server automatically
- Step 04
Start using Akash Network (Decentralized GPU & Cloud API)
Open Cascade and ask: "Using Akash Network (Decentralized GPU & Cloud API), help me...". 13 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"akash-network-decentralized-gpu-cloud-api": {
"url": "https://edge.vinkius.com/vk_preview_EuiIRYnmcVok7TPlrVtxL0krEFU1GLjnS5iObiJa/mcp"
}
}
}- Step 01
Open Cline MCP Settings
Click the Connectors icon in the Cline sidebar panel
- Step 02
Add remote server
Click "Add Connector" and paste the configuration above
- Step 03
Enable the server
Toggle the server switch to ON
- Step 04
Start using Akash Network (Decentralized GPU & Cloud API)
Ask Cline: "Using Akash Network (Decentralized GPU & Cloud API), help me...". 13 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add akash-network-decentralized-gpu-cloud-api --transport http "https://edge.vinkius.com/vk_preview_EuiIRYnmcVok7TPlrVtxL0krEFU1GLjnS5iObiJa/mcp"- Step 01
Install Claude Code
Run npm install -g @anthropic-ai/claude-code if not already installed
- Step 02
Add the Connector
Run the command above in your terminal
- Step 03
Verify the connection
Run claude mcp to list connected servers, or type /mcp inside a session
- Step 04
Start using Akash Network (Decentralized GPU & Cloud API)
Ask Claude: "Using Akash Network (Decentralized GPU & Cloud API), show me...". 13 tools are ready
Where the request belongs
Work Akash Network can move forward.
This is for the infrastructure lead who's tired of overpaying for centralized GPUs or the AI researcher who needs to scale training without the manual headache of cloud provisioning.
AI Researcher
Spins up high-end GPUs for model training without the overhead of centralized cloud providers.
DevOps Engineer
Manages decentralized infrastructure using familiar SDL manifests directly from an IDE.
Web3 Developer
Builds and hosts dApps on a decentralized cloud with automated resource management.
Build the capability set
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Bring your own AI
Change the model, client or framework. Keep Akash Network connected.
-
Claude -
ChatGPT -
Gemini -
Cursor -
VS Code -
Windsurf -
ZCode -
Cline -
Zed -
Continue -
Kiro -
Roo Code -
Zencoder -
Goose -
Void -
Augment Code -
Amp -
Qodo -
Tabnine -
Pieces -
Sourcegraph Cody -
JetBrains -
Warp -
Amazon Q -
Antigravity -
BoltAI -
Raycast -
Jan -
LM Studio -
AnythingLLM -
Open WebUI -
Msty -
Cherry Studio -
LibreChat -
TypingMind -
Chorus -
5ire -
n8n -
LangChain -
LlamaIndex -
CrewAI -
Vercel AI SDK
Before you connect
Questions about Akash Network.
The practical details behind the request, access and result.
What is the Akash Network MCP for?
It lets you manage decentralized GPU and cloud resources using your AI agent. You can spin up hardware, manage bids, and handle payments without leaving your workspace.
Can I use this to train AI models?
Yes, it's specifically designed to help you find and lease high-end GPUs for training and inference on the Akash Network.
How do I manage my budget?
You can use the Connector to check escrow balances and add USD deposits directly through your AI client to keep your services running.
Does this support SDL manifests?
Yes, you can create and manage deployments using standard Stack Definition Language manifests for infrastructure as code.
How do I keep my deployments running 24/7?
You can enable auto top-up settings so the system automatically handles your funding as your resources are consumed.
Can I see which providers are available?
The Connector allows your agent to list all network-wide providers so you can choose the best hardware for your specific needs.
How do I check for available provider bids after creating a deployment?
Use the list_bids capability with your deployment's DSEQ. It typically takes 30-60 seconds for providers to submit bids for your workload.
Can I update a running deployment with a new SDL manifest?
Yes! Use the update_deployment capability. Provide the existing DSEQ and your revised SDL string to apply changes to your active resources.
How do I prevent my deployment from closing due to insufficient funds?
You can use add_deposit to manually add USD to the escrow, or use enable_auto_top_up to configure automatic funding based on your deployment's needs.
One connection away
Give your agent a direct line to Akash Network.
Connect Akash Network once. Keep it beside 6,100+ managed Connectors when the next task needs more.
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