
Resend Email MCP Integration
Integrate FlowHunt with the Resend Email MCP Server to enable AI-powered email sending, scheduling, and workflow automation. Empower your AI agents like Cursor ...

Enable your AI workflows to send emails programmatically using the Resend MCP Server connector for FlowHunt.
The Resend MCP Server acts as a bridge between AI assistants and the Resend email API, enabling seamless integration of email-sending capabilities into AI-powered workflows. By exposing the functionality of the Resend API through the Model Context Protocol (MCP), this server allows AI agents to send emails, manage email content, and interact with email-related resources programmatically. This integration is particularly valuable for automating notifications, transactional emails, and communication processes within development environments, thereby enhancing productivity and enabling complex automated workflows involving email communication.
No prompt templates are mentioned in the available files or documentation.
No resources are explicitly listed in the available files or documentation.
No tools are explicitly listed in the available files or documentation, including server.py.
{
"mcpServers": {
"resend": {
"command": "npx",
"args": ["@klavis/mcp-server-resend@latest"]
}
}
}
{
"mcpServers": {
"resend": {
"command": "npx",
"args": ["@klavis/mcp-server-resend@latest"]
}
}
}
{
"mcpServers": {
"resend": {
"command": "npx",
"args": ["@klavis/mcp-server-resend@latest"]
}
}
}
{
"mcpServers": {
"resend": {
"command": "npx",
"args": ["@klavis/mcp-server-resend@latest"]
}
}
}
Store API keys in environment variables rather than in configuration files. Example:
{
"mcpServers": {
"resend": {
"command": "npx",
"args": ["@klavis/mcp-server-resend@latest"],
"env": {
"RESEND_API_KEY": "${RESEND_API_KEY}"
},
"inputs": {
"apiKey": "${RESEND_API_KEY}"
}
}
}
}
Using MCP in FlowHunt
To integrate MCP servers into your FlowHunt workflow, start by adding the MCP component to your flow and connecting it to your AI agent:

Click on the MCP component to open the configuration panel. In the system MCP configuration section, insert your MCP server details using this JSON format:
{
"resend": {
"transport": "streamable_http",
"url": "https://yourmcpserver.example/pathtothemcp/url"
}
}
Once configured, the AI agent is now able to use this MCP as a tool with access to all its functions and capabilities. Remember to change “resend” to whatever the actual name of your MCP server is and replace the URL with your own MCP server URL.
| Section | Availability | Details/Notes |
|---|---|---|
| Overview | ✅ | |
| List of Prompts | ⛔ | No prompt templates found |
| List of Resources | ⛔ | No resources found |
| List of Tools | ⛔ | No tools found in server.py |
| Securing API Keys | ✅ | Documented with example |
| Sampling Support (less important in evaluation) | ⛔ | Not mentioned |
Based on the available documentation, the Resend MCP Server provides clear setup instructions and addresses security for API keys, but lacks details on prompts, resources, and tools. It appears to be a useful integration for email-related workflows, but the absence of explicit MCP features such as tools and resources may limit its out-of-the-box functionality.
Score: 3/10 (Basic documentation and setup, but missing core MCP features.)
| Has a LICENSE | ⛔ (not found in the provided directory) |
|---|---|
| Has at least one tool | ⛔ |
| Number of Forks | Not available |
| Number of Stars | Not available |
Supercharge your automated workflows by enabling AI-powered email sending and notifications. Integrate the Resend MCP Server into your FlowHunt flows today.

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