Resend MCP Server
Enables sending single and batch emails through the Resend API with support for HTML/plain text content, CC/BCC recipients, and custom tracking tags.
README
Resend MCP Server
A Model Context Protocol (MCP) server for sending emails via the Resend API. Designed for use with Claude Code and other MCP-compatible AI assistants.
Features
- Send single emails with HTML or plain text content
- Send batch emails (up to 100 in one call)
- Support for CC, BCC, and reply-to addresses
- Custom tags for email tracking
- Platform-controlled sender address for security
Installation
npm install @bugzy-ai/resend-mcp-server
Or run directly with npx:
npx @bugzy-ai/resend-mcp-server
Configuration
Set the following environment variables:
RESEND_API_KEY=re_xxxxxxxxxxxxx
RESEND_FROM_EMAIL="Bugzy <notifications@yourdomain.com>"
MCP Configuration
Add to your MCP configuration (e.g., .mcp.json):
{
"mcpServers": {
"resend": {
"command": "resend-mcp-server",
"env": {
"RESEND_API_KEY": "${RESEND_API_KEY}",
"RESEND_FROM_EMAIL": "${RESEND_FROM_EMAIL}"
}
}
}
}
Available Tools
resend_send_email
Send a single email to one or more recipients.
Parameters:
to(required): Email address(es) - string or array (max 50)subject(required): Email subject linehtml(optional): HTML contenttext(optional): Plain text content (one of html/text required)cc(optional): CC recipient(s)bcc(optional): BCC recipient(s)reply_to(optional): Reply-to address(es)tags(optional): Array of{name, value}for tracking
resend_send_batch_emails
Send multiple emails in a single API call.
Parameters:
emails(required): Array of email objects (max 100)- Each email has the same parameters as
resend_send_email
- Each email has the same parameters as
Development
# Install dependencies
npm install
# Run in development mode
npm run dev
# Build for production
npm run build
# Lint code
npm run lint
License
Apache-2.0
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.
E2B
Using MCP to run code via e2b.
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Neon Database
MCP server for interacting with Neon Management API and databases