Provides tools for listing and retrieving items from the Resend API, enabling AI assistants to manage Resend data.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type @ followed by the MCP server name and your instructions, e.g., "@resend list my recent emails"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
An MCP (Model Context Protocol) server that provides access to the Resend API, allowing AI assistants to interact with Resend data.
List and retrieve items from the Resend API
Async HTTP client with error handling
Typed responses with Pydantic models
Related MCP server: Resend MCP Server
# Configure your API key
mpak config set @joecardoso13/resend api_key=your_api_key_here
# Run the server
mpak run @joecardoso13/resend# Clone the repository
git clone https://github.com/JoeCardoso13/mcp-resend.git
cd mcp-resend
# Install dependencies with uv
uv sync
# Set your API key
export RESEND_API_KEY=your_api_key_here
# Run the server
uv run python -m mcp_resend.serverCreate a new API key
Copy the key
Add to your ~/.claude/settings.json:
{
"mcpServers": {
"resend": {
"command": "mpak",
"args": ["run", "@joecardoso13/resend"]
}
}
}Tool | Description |
| List items from the API with optional limit |
| Get a single item by its ID |
# Install dev dependencies
uv sync --dev
# Run tests
uv run pytest tests/ -v
# Format code
uv run ruff format src/ tests/
# Lint
uv run ruff check src/ tests/
# Type check
uv run ty check src/
# Run all checks
make checkMIT
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If you are the server author, to access and configure the admin panel.
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