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mcparmory-e2b
Advanced tools
Base URL: https://api.e2b.app
| Category | Developer Tools |
| Tools | 39 |
| Auth | API Key |
API_KEY=YOUR_API_KEY \
uvx mcparmory-e2b
pip install mcparmory-e2b
API_KEY=YOUR_API_KEY \
mcparmory-e2b
Add to your MCP client config (e.g. Claude Desktop, Cursor, Codex):
{
"mcpServers": {
"e2b": {
"command": "uvx",
"args": ["mcparmory-e2b"],
"env": {
"API_KEY": "YOUR_API_KEY"
}
}
}
}
Set the following environment variables (via MCP client env config, shell export, or .env file):
API_KEY — API Key Authentication (X-API-Key)Do not commit credentials to version control.
First, configure your credentials in .env (see Credentials above).
pip install -r requirements.txt
python server.py
Edit .mcp.json and replace <SERVER_DIR> with the absolute path to this directory, then add to your MCP client configuration.
Example (if server is at /home/user/mcp-servers/e2b):
{
"mcpServers": {
"e2b": {
"command": "python",
"args": ["/home/user/mcp-servers/e2b/server.py"]
}
}
}
docker run -p 8000:8000 \
-e API_KEY=YOUR_API_KEY \
ghcr.io/mcparmory/e2b:latest
First, configure your credentials in .env (see Credentials above).
docker build -t e2b .
docker run -p 8000:8000 --env-file .env e2b
Before running, make sure ports 8000 are free.### MCP client config (Docker)
For Docker, use SSE transport in your MCP client config:
{
"mcpServers": {
"e2b": {
"type": "sse",
"url": "http://localhost:8000/sse"
}
}
}
.env - Credentials and server configuration.mcp.json - MCP client config templateDockerfile - Container buildLICENSE - MIT license for this generated coderequirements.txt - Python dependenciesREADME.md - This fileserver.py - MCP server entry point_auth.py - Authentication handlers_models.py - Request/response models_validators.py - Input validationNote: Files starting with . are hidden by default on macOS/Linux. Use ls -a in terminal or enable "Show hidden files" in your file manager to see .env and .mcp.json.
Generated by MCP Blacksmith · Quickstart docs · Report a bug
FAQs
Create and manage secure sandboxes for running AI agent code
We found that mcparmory-e2b demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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