Daytona (Dev Workspaces) MCP Server for LlamaIndexGive LlamaIndex 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

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Daytona (Dev Workspaces) as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

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The Daytona (Dev Workspaces) MCP Server for LlamaIndex 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

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python

import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
    mcp_tool_spec = McpToolSpec(client=mcp_client)
    tools = await mcp_tool_spec.to_tool_list_async()

    agent = FunctionAgent(
        tools=tools,
        llm=OpenAI(model="gpt-4o"),
        system_prompt=(
            "You are an assistant with access to Daytona (Dev Workspaces). "
            "You have 28 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in Daytona (Dev Workspaces)?"
    )
    print(response)

asyncio.run(main())

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* 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.

LlamaIndex agents combine Daytona (Dev Workspaces) tool responses with indexed documents for comprehensive, grounded answers. Connect 28 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.

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 LlamaIndex 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 LlamaIndex

When LlamaIndex 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 LlamaIndex via MCP

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

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 28 tools from Daytona (Dev Workspaces)

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

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

Data-first architecture: LlamaIndex agents combine Daytona (Dev Workspaces) tool responses with indexed documents for comprehensive, grounded answers

Query pipeline framework lets you chain Daytona (Dev Workspaces) tool calls with transformations, filters, and re-rankers in a typed pipeline

Multi-source reasoning: agents can query Daytona (Dev Workspaces), a vector store, and a SQL database in a single turn and synthesize results

Observability integrations show exactly what Daytona (Dev Workspaces) tools were called, what data was returned, and how it influenced the final answer

Daytona (Dev Workspaces) + LlamaIndex Use Cases

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

Hybrid search: combine Daytona (Dev Workspaces) real-time data with embedded document indexes for answers that are both current and comprehensive

Data enrichment: query Daytona (Dev Workspaces) to augment indexed data with live information before generating user-facing responses

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Daytona (Dev Workspaces) for fresh data

Analytical workflows: chain Daytona (Dev Workspaces) queries with LlamaIndex's data connectors to build multi-source analytical reports

Example Prompts for Daytona (Dev Workspaces) in LlamaIndex

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

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

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Daytona (Dev Workspaces) + LlamaIndex FAQ

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

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query Daytona (Dev Workspaces) tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.

Does LlamaIndex support async MCP calls?

Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.

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