How to Use the E2B MCP in CrewAI

Deploy autonomous CrewAI agents that execute code in secure sandboxes for research, analysis, and data tasks.

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Connect E2B MCP to CrewAI

Create your Vinkius account to connect E2B to CrewAI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup E2B with CrewAI

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Isolated agent environments

Let your CrewAI agents perform tasks in their own Firecracker microVMs. The `create_sandbox` tool lets agents spin up isolated Linux environments on demand. Your agents can install packages, run scripts, and process files without impacting your local system. It turns your crew into a team of developers.

Collaborative resource control

Use `list_sandboxes` to let your monitor agents check on the team's progress. It provides a list of all active environments currently running. This allows for better orchestration between your specialized agents. One agent can spawn the work while another monitors the resource state.

Clean termination for crews

Automate the cleanup of your environments with `kill_sandbox`. Once a CrewAI task is complete, the agent can trigger the termination of its own sandbox. This prevents resource leaks during long-running autonomous operations. It ensures every crew member leaves the environment exactly as they found it.

Setup guide

Set up E2B MCP in CrewAI

Prerequisites

Python 3.10+ installed
crewai package (pip install crewai)
Active Vinkius subscription with a valid endpoint token

1

Install CrewAI
Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.
2

Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the mcps list. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically.
3

Kick off your crew
Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke E2B tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="E2B Analyst",
    goal="Access and analyze E2B data via MCP.",
    backstory="Expert analyst with direct E2B access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent E2B transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

Get your connection token →

Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters

server_params = SseServerParameters(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

with MCPServerAdapter(server_params) as mcp_tools:
    agent = Agent(
        role="E2B Analyst",
        goal="Access and analyze E2B data via MCP.",
        backstory="Expert analyst with direct E2B access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent E2B transactions",
        agent=agent,
        expected_output="A summary of recent activity",
    )

    crew = Crew(agents=[agent], tasks=[task])
    result = crew.kickoff()
    print(result)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by E2B. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about E2B MCP in CrewAI

Add the E2B MCP server URL to your agent configuration. CrewAI will automatically discover the tools and make them available to your agents.

Agents can share a sandbox if you pass the same ID, but it's safer to give each CrewAI agent their own isolated environment to prevent conflicts.

Yes, the E2B MCP server works with any CrewAI process type. Your manager agent can delegate code tasks to sub-agents that use the sandbox tools.

The Firecracker microVMs provide a hardware-level boundary. No agent can escape the sandbox to interact with your CrewAI host process.

The sandbox holds temporary files and execution results for the duration of the session. Once you call kill, all data is wiped from the virtual disk.

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