Daytona (Dev Workspaces) MCP Server for LangChainGive LangChain instant access to 28 tools to Activate Snapshot, Archive Sandbox, Create Api Key, and more

Name: Daytona (Dev Workspaces)
Price: 29 USD
Availability: InStock
Rating: 4.9 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

LangChain is the leading Python framework for composable LLM applications. Connect Daytona (Dev Workspaces) through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

Ask AI about this MCP Server for LangChain

Open in ChatGPT Open in Claude Open in Perplexity

The Daytona (Dev Workspaces) MCP Server for LangChain is a standout in the Developer Tools category — giving your AI agent 28 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

Claude

ChatGPT

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Gemini

Windsurf

VS Code

JetBrains

Vercel

+ other MCP clients

python

import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "daytona-dev-workspaces": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using Daytona (Dev Workspaces), show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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.

LangChain's ecosystem of 500+ components combines seamlessly with Daytona (Dev Workspaces) through native MCP adapters. Connect 28 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

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_snapshot and activate_snapshot.
API Key Control — Manage your authentication keys directly, including listing and creating new access tokens via list_api_keys and create_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 LangChain 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 LangChain

When LangChain 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

Recover a sandbox from an error state

resize

Resize sandbox on Daytona (Dev Workspaces)

Resize sandbox resources

start

Start sandbox on Daytona (Dev Workspaces)

Start a stopped sandbox

stop

Stop sandbox on Daytona (Dev Workspaces)

Stop a running sandbox

Connect Daytona (Dev Workspaces) to LangChain via MCP

Follow these steps to wire Daytona (Dev Workspaces) into LangChain. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save the code and run python agent.py

Explore tools

The agent discovers 28 tools from Daytona (Dev Workspaces) via MCP

Why Use LangChain with the Daytona (Dev Workspaces) MCP Server

LangChain provides unique advantages when paired with Daytona (Dev Workspaces) through the Model Context Protocol.

The largest ecosystem of integrations, chains, and agents. combine Daytona (Dev Workspaces) MCP tools with 500+ LangChain components

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

Memory and conversation persistence let agents maintain context across Daytona (Dev Workspaces) queries for multi-turn workflows

Daytona (Dev Workspaces) + LangChain Use Cases

Practical scenarios where LangChain combined with the Daytona (Dev Workspaces) MCP Server delivers measurable value.

RAG with live data: combine Daytona (Dev Workspaces) tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query Daytona (Dev Workspaces), synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain Daytona (Dev Workspaces) tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every Daytona (Dev Workspaces) tool call, measure latency, and optimize your agent's performance

Example Prompts for Daytona (Dev Workspaces) in LangChain

Ready-to-use prompts you can give your LangChain 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 LangChain

Common issues when connecting Daytona (Dev Workspaces) to LangChain through Vinkius, and how to resolve them.

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Daytona (Dev Workspaces) + LangChain FAQ

Common questions about integrating Daytona (Dev Workspaces) MCP Server with LangChain.

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.