zed-resend-mcp-server
This Zed extension provides an MCP server for sending emails via Resend. The setup is straightforward, requiring only an API key and a sender email address. It utilizes an unofficial npm package, ensuring flexibility in configuration options.
GitHub Stars
2
User Rating
Not Rated
Favorites
0
Views
18
Forks
1
Issues
0
Resend MCP Server Extension for Zed
This extension provides a MCP server for sending emails via Resend directly from Zed.
It uses the (unofficial) resend-mcp npm package.
Configuration
Minimal Configuration (API Key Only)
Add your Resend API key to your Zed settings.json:
{
"context_servers": {
"mcp-server-resend": {
"settings": {
"resend_api_key": "re_your_actual_api_key_here"
}
}
}
}
Recommended Configuration (With Sender Email)
Ensure your sender email is from a verified domain.
You can do that by going to Resend's dashboard Domain page.
{
"context_servers": {
"mcp-server-resend": {
"settings": {
"resend_api_key": "re_your_actual_api_key_here",
"sender_email_address": "your-verified@yourdomain.com"
}
}
}
}
Complete Configuration (All Options)
You can also configure reply-to addresses:
{
"context_servers": {
"mcp-server-resend": {
"settings": {
"resend_api_key": "re_your_actual_api_key_here",
"sender_email_address": "your-verified@yourdomain.com",
"reply_to_email_addresses": "replies@yourdomain.com,support@yourdomain.com"
}
}
}
}
Features
| Feature | Status |
|---|---|
| Send plain text emails | Supported |
| Send HTML emails | Supported |
| Multiple recipients | Supported |
| CC and BCC | Supported |
| Reply-to addresses | Supported |
| Scheduled sending | Supported |
| Custom sender email | Supported |
| Environment-based configuration | Supported |
| File attachments | Supported |
| Remote URL attachments | Supported |
| React Email templates | Not Supported |
| Batch sending | Not Supported |
| Email tracking | Not Supported |
Further Information
197
Followers
24
Repositories
0
Gists
0
Total Contributions
The Elasticsearch MCP Server connects to Elasticsearch data using the Model Context Protocol, enabling interaction through natural language conversations. This experimental server simplifies access to Elasticsearch indices and supports various operations, including listing indices, retrieving mappings, and executing search queries.