E2B

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Prerequisites

• Get an E2B API Key: Sign up at E2B
• Install the Meshagent CLI:
  Copy

  Ask AI

  pip install "meshagent[all]"
  

• Authenticate with Meshagent:
  Copy

  Ask AI

  meshagent login
  

  See detailed auth instructions.

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1. Environment Variables

• E2B_API_KEY – Your E2B API key

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2. Start the MCP Server as a Meshagent Room Service

meshagent service test \
  --room=test \
  --role=agent \
  --image=meshagent/mcp-e2b:latest \
  --env MESHAGENT_PORT=8001 \
  --env E2B_API_KEY=YOUR_API_KEY_HERE \
  --port="num=8001 path=/webhook liveness=/ type=meshagent.callable" \
  --name=mcp-e2b-service-test

• Starts a Meshagent Room with the MCP server running as a test agent.
• Service and chatbot clean up automatically when the Room closes or goes inactive.

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3. Join with a Chatbot Agent

meshagent chatbot join \
  --room=test \
  --agent-name=mcp-e2b \
  --name=mcp-e2b \
  --toolkit=mcp-e2b

• Launches a chatbot in the same Room, provisioned with the e2b toolkit.
• You will receive a browser link to the Room—multiple toolkits can be used in the same Room.

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4. Interact with the MCP Server Tools

• Open the Room link in your browser.
• Send a message to the agent and interact with the MCP server tool, e.g., ask it to run Python code!

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Environment Variables (Summary)

• E2B_API_KEY – Your E2B API Key (required)
• MESHAGENT_PORT – Set to 8001 for the MCP server

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🔒 Project-Level Deployment (Persistent Integration)

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1. Create Persistent MCP Service

meshagent service create \
  --role=agent \
  --image=meshagent/mcp-e2b:latest \
  --env MESHAGENT_PORT=8001 \
  --env E2B_API_KEY=YOUR_API_KEY_HERE \
  --port="num=8001 path=/webhook liveness=/ type=meshagent.callable" \
  --name=mcp-e2b-service

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2. Create Persistent Chatbot Service

meshagent service create \
  --image="meshagent/cli:latest" \
  --port="num=9001 path=/agent liveness=/ type=meshagent.callable participant_name=mcp-e2b-chatbot" \
  --env="MESHAGENT_PORT=9001" \
  --name="mcp-e2b-chatbot-service" \
  --command="meshagent chatbot service --agent-name=mcp-e2b-chatbot --toolkit=mcp-e2b"

• Both services will start in every Room created in the project, allowing all users instant access to the MCP tools and chatbot.

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🛠️ Tools Available

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run_code

• Parameters:
  • code (string): Python code to be executed.
• Syntax: Jupyter Notebook style.

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MCP Server Info

• What is an MCP Server?
• Docker Image: meshagent/mcp-e2b

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🔗 Useful Links

• Meshagent: https://www.meshagent.com/
• Meshagent Docs: https://docs.meshagent.com
• Meshagent MCP Tool Image: https://hub.docker.com/r/meshagent/mcp-e2b