Daytona (Dev Workspaces) MCP Server for VS Code CopilotGive VS Code Copilot instant access to 28 tools to Activate Snapshot, Archive Sandbox, Create Api Key, and more
GitHub Copilot in VS Code is the most widely adopted AI coding assistant, embedded directly into the world's most popular code editor. With MCP support in Agent mode, Copilot can access external data and APIs to generate context-aware code grounded in real-time information.
Ask AI about this MCP Server for VS Code Copilot
The Daytona (Dev Workspaces) MCP Server for VS Code Copilot is a standout in the Developer Tools category — giving your AI agent 28 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
{
"mcpServers": {
"daytona-dev-workspaces": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
}Vinkius Desktop App
The modern way to manage MCP Servers — no config files, no terminal commands. Install Daytona (Dev Workspaces) and 4,000+ MCP Servers from a single visual interface.





* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Daytona (Dev Workspaces) MCP Server
Connect your Daytona account to any AI agent to orchestrate cloud-based development environments through natural language. Daytona provides standardized, ephemeral sandboxes that can be provisioned and managed on demand.
GitHub Copilot Agent mode brings Daytona (Dev Workspaces) data directly into your VS Code workflow. With a project-scoped config, the entire team shares access to 28 tools. Copilot queries live data, generates typed code, and writes tests from actual API responses, all without leaving the editor.
What you can do
- Sandbox Orchestration — List, create, start, stop, and delete sandboxes with specific CPU, memory, and disk configurations.
- Snapshot Management — Create and manage snapshots to preserve environment states or activate them for new sandboxes using
create_snapshotandactivate_snapshot. - API Key Control — Manage your authentication keys directly, including listing and creating new access tokens via
list_api_keysandcreate_api_key. - Resource Scaling — Dynamically resize sandbox resources (vCPU, RAM, Disk) to match your workload requirements using
resize_sandbox. - Volume & Storage — Inspect and manage persistent volumes and snapshots for your dev environments.
The Daytona (Dev Workspaces) MCP Server exposes 28 tools through the Vinkius. Connect it to VS Code Copilot in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 28 Daytona (Dev Workspaces) tools available for VS Code Copilot
When VS Code Copilot connects to Daytona (Dev Workspaces) through Vinkius, your AI agent gets direct access to every tool listed below — spanning sandboxes, dev-environments, workspace-automation, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.
Activate snapshot on Daytona (Dev Workspaces)
Activate a snapshot
Archive sandbox on Daytona (Dev Workspaces)
Archive a sandbox
Create api key on Daytona (Dev Workspaces)
Create a new Daytona API key
Create sandbox on Daytona (Dev Workspaces)
Create a new Daytona sandbox
Create snapshot on Daytona (Dev Workspaces)
Create a new snapshot
Create volume on Daytona (Dev Workspaces)
Create a new volume
Deactivate snapshot on Daytona (Dev Workspaces)
Deactivate a snapshot
Delete api key on Daytona (Dev Workspaces)
Delete an API key by name
Delete sandbox on Daytona (Dev Workspaces)
Delete a sandbox
Delete snapshot on Daytona (Dev Workspaces)
Delete a snapshot
Delete volume on Daytona (Dev Workspaces)
Delete a volume
Fork sandbox on Daytona (Dev Workspaces)
Fork an existing sandbox
Get api key on Daytona (Dev Workspaces)
Get details of a specific API key by name
Get current api key on Daytona (Dev Workspaces)
Get details of the currently authenticated API key
Get sandbox on Daytona (Dev Workspaces)
Get details of a specific sandbox
Get sandbox preview url on Daytona (Dev Workspaces)
Get a signed preview URL for a specific port on a sandbox
Get snapshot on Daytona (Dev Workspaces)
Get details of a specific snapshot
Get volume on Daytona (Dev Workspaces)
Get details of a specific volume by ID
Get volume by name on Daytona (Dev Workspaces)
Get details of a specific volume by name
List api keys on Daytona (Dev Workspaces)
List Daytona API keys
List sandboxes on Daytona (Dev Workspaces)
List all Daytona sandboxes
List sandboxes paginated on Daytona (Dev Workspaces)
List all Daytona sandboxes (paginated)
List snapshots on Daytona (Dev Workspaces)
List all Daytona snapshots
List volumes on Daytona (Dev Workspaces)
List all Daytona volumes
Recover sandbox on Daytona (Dev Workspaces)
Recover a sandbox from an error state
Resize sandbox on Daytona (Dev Workspaces)
Resize sandbox resources
Start sandbox on Daytona (Dev Workspaces)
Start a stopped sandbox
Stop sandbox on Daytona (Dev Workspaces)
Stop a running sandbox
Connect Daytona (Dev Workspaces) to VS Code Copilot via MCP
Follow these steps to wire Daytona (Dev Workspaces) into VS Code Copilot. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Create MCP config
.vscode/mcp.json file in your project rootAdd the server config
Enable Agent mode
Start using Daytona (Dev Workspaces)
Why Use VS Code Copilot with the Daytona (Dev Workspaces) MCP Server
GitHub Copilot for Visual Studio Code provides unique advantages when paired with Daytona (Dev Workspaces) through the Model Context Protocol.
VS Code is used by over 70% of developers. adding MCP tools to Copilot means your team can leverage external data without leaving their primary editor
Project-scoped MCP configs (`.vscode/mcp.json`) let you commit server configurations to your repository, ensuring the entire team shares the same tool access
Copilot's Agent mode integrates MCP tools seamlessly with file editing, terminal commands, and workspace search in a single agentic loop
GitHub's enterprise compliance and audit features extend to MCP tool usage, providing visibility into how AI interacts with external services
Daytona (Dev Workspaces) + VS Code Copilot Use Cases
Practical scenarios where VS Code Copilot combined with the Daytona (Dev Workspaces) MCP Server delivers measurable value.
Live API integration: Copilot can query an MCP server, inspect the response schema, and generate typed API client code in the same step
DevSecOps workflows: security teams can give developers access to domain intelligence tools directly in their editor for real-time vulnerability assessment during code review
Data pipeline development: Copilot fetches sample data via MCP and generates transformation scripts, validators, and test fixtures from actual API responses
Documentation generation: Copilot queries available tools and auto-generates README sections, API reference docs, and usage examples
Example Prompts for Daytona (Dev Workspaces) in VS Code Copilot
Ready-to-use prompts you can give your VS Code Copilot agent to start working with Daytona (Dev Workspaces) immediately.
"List all my current Daytona sandboxes."
"Create a new sandbox with 2 CPUs and 4GB of RAM using the node:20 image."
"Stop the sandbox named 'dev-environment-1'."
Troubleshooting Daytona (Dev Workspaces) MCP Server with VS Code Copilot
Common issues when connecting Daytona (Dev Workspaces) to VS Code Copilot through Vinkius, and how to resolve them.
MCP tools not available
Daytona (Dev Workspaces) + VS Code Copilot FAQ
Common questions about integrating Daytona (Dev Workspaces) MCP Server with VS Code Copilot.
Which VS Code version supports MCP?
How do I switch to Agent mode?
Can I restrict which MCP tools Copilot can access?
Does MCP work in VS Code Remote or Codespaces?
.vscode/mcp.json work in Remote SSH, WSL, and GitHub Codespaces environments. The MCP connection is established from the remote host, so ensure the server URL is accessible from that environment.Explore More MCP Servers
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