Resend MCP Server
Provides tools for sending emails via the Resend API, including single and batch email delivery (up to 100 emails), HTML and plain text content support, CC/BCC/reply-to addresses, and custom tags for email tracking.
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 MCP Serversend a welcome email to newuser@example.com with subject 'Welcome to our platform!' and HTML content 'Welcome!Thanks for joining us.'"
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.
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
Related MCP server: Resend MCP
Installation
npm install @bugzy-ai/resend-mcp-serverOr run directly with npx:
npx @bugzy-ai/resend-mcp-serverConfiguration
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
Development
# Install dependencies
npm install
# Run in development mode
npm run dev
# Build for production
npm run build
# Lint code
npm run lintLicense
Apache-2.0
Available Tools
1 toolresend_send_emailB
Send a single email to one or more recipients. Supports HTML and plain text content, CC/BCC, reply-to, and custom tags for tracking.
| Name | Required | Description | Default |
|---|---|---|---|
| to | Yes | Recipient email address(es). Max 50 addresses. | |
| subject | Yes | Email subject line | |
| html | No | HTML version of the email body | |
| text | No | Plain text version. Auto-generated from HTML if omitted. | |
| cc | No | CC recipient(s) | |
| bcc | No | BCC recipient(s) | |
| reply_to | No | Reply-to email address(es) | |
| tags | No | Custom metadata tags for tracking (max 50) |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries full burden for behavioral disclosure. It mentions the action ('Send') and some features, but omits critical details like authentication requirements, rate limits, error handling, whether emails are queued or sent immediately, or what happens on success/failure. For a mutation tool with zero annotation coverage, this is inadequate.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, well-structured sentence that efficiently lists key features without redundancy. Every element ('Supports HTML and plain text content, CC/BCC, reply-to, and custom tags for tracking') adds value, and it's appropriately front-loaded with the core purpose.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For an 8-parameter mutation tool with no annotations and no output schema, the description is insufficient. It covers basic purpose and features but lacks behavioral context (e.g., side effects, error responses), usage prerequisites, and output expectations. The high schema coverage helps, but the description doesn't compensate for the missing structural information.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100%, so the schema already documents all 8 parameters thoroughly. The description adds minimal value by listing some parameter categories (CC/BCC, reply-to, tags) but doesn't provide additional syntax, format, or usage details beyond what the schema provides. Baseline 3 is appropriate when schema does the heavy lifting.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the specific action ('Send a single email') and resource ('to one or more recipients'), with additional details about supported features (HTML/plain text, CC/BCC, reply-to, custom tags). It fully distinguishes what the tool does without relying on sibling tools for context.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description implies usage context through feature mentions (e.g., 'for tracking'), but provides no explicit guidance on when to use this tool versus alternatives. Since there are no sibling tools, this is less critical, but it lacks any prerequisites or exclusions.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
TDQS
With only one tool, there is no possibility of ambiguity or overlap between tools. The single tool has a clear and distinct purpose for sending emails.
The tool name follows a consistent verb_noun pattern (resend_send_email), and with only one tool, there is no inconsistency to evaluate. The naming is clear and predictable.
A single tool for an email server is too few for the apparent scope, as it lacks basic operations like listing emails, checking status, or managing templates. This limits functionality and may cause agent failures.
The tool surface is severely incomplete for an email domain; it only supports sending emails without any read, update, delete, or management capabilities. This creates significant gaps that will hinder agent workflows.
Maintenance
Resources
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Related MCP Servers
- AlicenseNot gradedqualityDmaintenanceAllows sending emails through the Resend service using a standardized Model Context Protocol (MCP) interface, with TypeScript support.21,8626MIT
- AlicenseNot gradedqualityDmaintenanceEnables sending emails through the Resend service API. Provides a simple email sending tool that integrates with MCP-compatible clients.29MIT
- FlicenseBqualityNot gradedmaintenanceEnables sending emails and managing webhooks through the SendLayer API. Supports plain text and HTML emails with attachments, CC/BCC recipients, and webhook event management for email delivery tracking.5
- FlicenseNot gradedqualityDmaintenanceEnables sending emails (including mass emailing), querying, updating, and canceling delayed emails via the Resend API.
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