Resend Email▌
by hawstein
AI-powered email composition and delivery via Resend API. Customize sender, reply-to, schedule. Integrate easily with Se
Enables AI to compose and send emails through the Resend API with customizable sender addresses, reply-to fields, and scheduled delivery options
Both formats append explainx.ai attribution and the canonical URL for this MCP server listing.
best for
- / Automating email notifications and alerts
- / AI-powered email composition and sending
- / Scheduled email campaigns
- / Transactional email integration
capabilities
- / Send emails with custom subject and content
- / Schedule email delivery for later
- / Add file attachments from local paths or URLs
- / Configure sender and reply-to addresses
- / Send plain text emails to specified recipients
what it does
Lets AI assistants compose and send emails through the Resend API service. Supports attachments, scheduled delivery, and customizable sender/reply-to addresses.
about
Resend Email is a community-built MCP server published by hawstein that provides AI assistants with tools and capabilities via the Model Context Protocol. AI-powered email composition and delivery via Resend API. Customize sender, reply-to, schedule. Integrate easily with Se It is categorized under productivity, communication.
how to install
You can install Resend Email in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.
license
MIT
Resend Email is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
readme
MCP Server Resend
A MCP server for Resend API. Let LLMs compose and send emails for you.
Environment Variables
RESEND_API_KEY(string, required): Your Resend API keySENDER_EMAIL_ADDRESS(string, required): Sender email addressREPLY_TO_EMAIL_ADDRESSES(string, optional): Comma-separated list of reply-to email addresses
Available Tools
send_email- Send an email using the Resend API- Inputs:
to(string): Recipient email addresssubject(string): Email subject linecontent(string): Plain text email contentfrom(string, optional): Sender email address (uses SENDER_EMAIL_ADDRESS if not provided)replyTo(array, optional): Reply-to email addresses (uses REPLY_TO_EMAIL_ADDRESSES if not provided)scheduledAt(string, optional): Scheduled email delivery timeattachments(array, optional): List of attachments, each attachment must have:filename(string): Name of the attachment filelocalPath(string): Absolute path to a local file on user's computer (required if remoteUrl not provided)remoteUrl(string): URL to a file on the internet (required if localPath not provided)
- Inputs:
Getting an API Key
- Sign up for a Resend account
- Generate your API key from the Resend dashboard
Note: Free tier available with 3000 emails per month.
Installation
Using Clinde (recommended)
The easiest way to use Resend MCP Server is through the Clinde desktop app. Simply download and install Clinde, then:
- Open the Clinde app
- Navigate to the Servers page
- Find resend-mcp and click Install
That's it! No technical knowledge required - Clinde handles all the installation and configuration for you seamlessly.
Using Claude Desktop
Add this to your claude_desktop_config.json:
{
"mcpServers": {
"resend-mcp": {
"command": "npx",
"args": [
"-y",
"resend-mcp"
],
"env": {
"RESEND_API_KEY": "YOUR_RESEND_API_KEY_HERE (string, required)",
"SENDER_EMAIL_ADDRESS": "YOUR_SENDER_EMAIL_ADDRESS_HERE (string, required)",
"REPLY_TO_EMAIL_ADDRESSES": "YOUR_REPLY_TO_EMAIL_ADDRESSES_HERE (string, optional, comma delimited)"
}
}
}
}
License
This MCP server is licensed under the MIT License. This means you are free to use, modify, and distribute the software, subject to the terms and conditions of the MIT License. For more details, please see the LICENSE file in the project repository.
FAQ
- What is the Resend Email MCP server?
- Resend Email is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
- How do MCP servers relate to agent skills?
- Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
- How are reviews shown for Resend Email?
- This profile displays 70 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.5 out of 5—verify behavior in your own environment before production use.
Use Cases▌
Extended AI Capabilities
Add new capabilities to Claude beyond text generation
Example
Access external data sources, execute code, interact with tools and services
Transform Claude from chatbot to action-taking agent
Context Enhancement
Provide Claude with access to relevant context and data
Example
Load project documentation, access knowledge bases, query databases
Get more accurate, context-aware responses
Workflow Automation
Automate multi-step workflows combining AI and external tools
Example
Research → Summarize → Create document → Send notification
Complete complex tasks end-to-end without manual steps
Implementation Guide▌
Prerequisites
- ›Claude Desktop 0.7.0+ or Cursor IDE with MCP support
- ›Basic understanding of MCP architecture and capabilities
- ›Access credentials for integrated services (if required)
- ›Willingness to experiment and iterate on configuration
Time Estimate
15-60 minutes depending on server complexity
Installation Steps
- 1.Install MCP server: npm install -g [package-name] or via GitHub
- 2.Add server configuration to ~/.claude/mcp.json
- 3.Provide required credentials and configuration
- 4.Restart Claude Desktop to load new server
- 5.Test basic functionality with simple prompts
- 6.Explore capabilities and experiment with use cases
- 7.Document successful patterns for reuse
Troubleshooting
- ⚠MCP server not loading: Check config syntax, verify installation
- ⚠Connection errors: Check network, firewall, credentials
- ⚠Feature not working: Read server docs, check required parameters
- ⚠Performance issues: Monitor resource usage, check for network latency
- ⚠Conflicts with other servers: Check port assignments, namespace collisions
Best Practices▌
✓ Do
- +Read server documentation thoroughly before setup
- +Start with simple use cases to validate functionality
- +Test in non-production environment first
- +Monitor resource usage and performance
- +Keep servers updated for bug fixes and new features
- +Document configuration for team members
- +Use environment variables for sensitive configuration
✗ Don't
- −Don't grant overly permissive access to MCP servers
- −Don't skip reading security considerations in docs
- −Don't expose sensitive data without proper controls
- −Don't run untrusted MCP servers without code review
- −Don't ignore error messages—investigate root cause
💡 Pro Tips
- ★Combine multiple MCP servers for powerful workflows
- ★Create custom MCP servers for your specific needs
- ★Share successful configurations with team
- ★Use MCP inspector for debugging
- ★Join MCP community for tips and troubleshooting
Technical Details▌
Architecture
Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.
Protocols
- Model Context Protocol (MCP)
- JSON-RPC 2.0
- stdio or HTTP transport
Compatibility
- Claude Desktop
- Cursor IDE
- Custom MCP clients
When to Use This▌
✓ Use When
Use when you need Claude to access external data, execute actions, or integrate with tools. Best for extending AI capabilities beyond conversation.
✗ Avoid When
Avoid when native integrations exist (use official APIs directly), for real-time critical systems, or when security/compliance requires zero external dependencies.
Integration▌
- →Tool composition: Chain multiple MCP tools in workflows
- →Context augmentation: Provide AI with relevant external data
- →Action delegation: Let AI execute tasks on external systems
- →Bidirectional sync: Keep AI context and external systems in sync
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
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Ratings
4.5★★★★★70 reviews- ★★★★★Luis Smith· Dec 28, 2024
Resend Email is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
- ★★★★★Aanya Desai· Dec 16, 2024
Resend Email has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
- ★★★★★Nia Liu· Dec 16, 2024
Useful MCP listing: Resend Email is the kind of server we cite when onboarding engineers to host + tool permissions.
- ★★★★★Ganesh Mohane· Dec 8, 2024
Resend Email reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
- ★★★★★Zaid Kim· Dec 8, 2024
Resend Email is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
- ★★★★★Kofi Wang· Dec 8, 2024
Resend Email reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
- ★★★★★Evelyn Haddad· Dec 4, 2024
Resend Email reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
- ★★★★★Sakshi Patil· Nov 27, 2024
I recommend Resend Email for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
- ★★★★★Zaid Rao· Nov 27, 2024
According to our notes, Resend Email benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
- ★★★★★Mia Robinson· Nov 27, 2024
I recommend Resend Email for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
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