resend-integration-skills

gocallum/nextjs16-agent-skills · updated Apr 8, 2026

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$npx skills add https://github.com/gocallum/nextjs16-agent-skills --skill resend-integration-skills
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summary

The build process:

skill.md

Links

Quick Start

1. Prerequisites

  • Node.js 20 or higher (required - the MCP server specifies engines: { "node": ">=20" })
  • Resend account (free tier available at https://resend.com)
  • GitHub Copilot Pro or Cursor with Agent mode enabled
  • VS Code Insider (required for full MCP support)
  • npm or pnpm package manager

2. Clone and Build Resend MCP Server

# Clone the Resend MCP server repository
git clone https://github.com/resend/mcp-send-email.git
cd mcp-send-email

# Install dependencies (npm or pnpm both supported)
npm install
# or if you prefer pnpm:
# pnpm install

# Build the project (TypeScript compilation + executable permissions)
npm run build

The build process:

  1. Compiles TypeScript to JavaScript
  2. Sets executable permissions on the built script (Unix/macOS)
  3. Creates the MCP server executable at build/index.js

3. Create Resend API Key

  1. Visit https://resend.com/api-keys
  2. Create a new API key
  3. Copy the key to your clipboard (you'll need it for configuration)

4. (Optional) Verify Your Domain

To send emails from a custom domain:

  1. Go to https://resend.com/domains
  2. Add and verify your domain
  3. Update MCP configuration with --sender flag (see Configuration section)

5. Configure MCP for Your Client

Choose your setup based on your GitHub Copilot tier:

For GitHub Copilot Coding Agent (Repository-level setup):

This is the recommended approach for team collaboration. Repository admins configure MCP servers at the repository level.

  1. Navigate to your repository on GitHub.com
  2. Go to Settings → Copilot → Coding agent
  3. Add the following JSON configuration:
{
  "mcpServers": {
    "resend": {
      "type": "local",
      "command": "node",
      "args": ["/absolute/path/to/mcp-send-email/build/index.js"],
      "env": {
        "RESEND_API_KEY": "COPILOT_MCP_RESEND_API_KEY"
      },
      "tools": ["*"]
    }
  }
}
  1. Set up the Copilot environment:

    • Go to Settings → Environments
    • Create new environment called copilot
    • Add secret: COPILOT_MCP_RESEND_API_KEY with your API key value
  2. Click Save and Copilot will validate the configuration

For VS Code Local Development (Developer setup):

If you're developing locally or prefer VS Code configuration:

  1. Create .vscode/mcp.json in your project root:
{
  "servers": {
    "resend": {
      "type": "command",
      "command": "node",
      "args": ["/absolute/path/to/mcp-send-email/build/index.js"],
      "env": {
        "RESEND_API_KEY": "re_xxxxxxxxxxxxxx"
      }
    }
  }
}
  1. Get the absolute path to build/index.js:
    • Right-click build/index.js in VS Code → Copy Path

For Cursor Agent Mode:

Open Cursor Settings (Cmd+Shift+P → "Cursor Settings") and add to MCP config:

{
  "mcpServers": {
    "resend": {
      "type": "command",
      "command": "node /absolute/path/to/mcp-send-email/build/index.js --key=re_xxxxxxxxxxxxxx"
    }
  }
}

For Claude Desktop:

  1. Open Claude Desktop settings
  2. Go to Developer tab → Edit Config
  3. Add configuration:
{
  "mcpServers": {
    "resend": {
      "command": "node",
      "args": ["/absolute/path/to/mcp-send-email/build/index.js"],
      "env": {
        "RESEND_API_KEY": "re_xxxxxxxxxxxxxx",
        "SENDER_EMAIL_ADDRESS": "[email protected]",
        "REPLY_TO_EMAIL_ADDRESS": "[email protected]"
      }
    }
  }
}

6. Test the Connection Using email.md Pattern

The official Resend repository includes a test pattern using an email.md file:

  1. Create email.md in your project:

    to: [email protected]
    subject: Test from Resend MCP
    content: This is a test email.
    
    Hello! This is a test email sent via Resend MCP.
    
    # You can also test CC and BCC:
    # cc: [email protected]
    # bcc: [email protected]
    
  2. In Cursor (with Agent mode):

    • Open the email.md file
    • Select all text (Cmd+A / Ctrl+A)
    • Press Cmd+L / Ctrl+L (or use the context menu)
    • Tell Cursor: "send this as an email" or "send this email using resend MCP"
    • Make sure you're in Agent mode (toggle in chat dropdown)
  3. In Claude Desktop:

    • Paste the email.md content in the chat
    • Ask Claude to send it: "Send this email using the resend tool"
  4. In GitHub Copilot:

    • Open email.md file
    • Reference it in the chat: "@email.md send this email using resend"

If configured correctly, the email will be sent immediately and you'll receive confirmation.

Key Concepts

MCP Configuration Types

There are two main ways to configure Resend MCP with GitHub Copilot:

1. GitHub Copilot Coding Agent (Repository-level)

  • Configuration in GitHub repository settings (Repository admin required)
  • Used when assigning Copilot tasks to work on GitHub issues
  • Requires explicit tools array specifying which tools Copilot can use
  • API keys stored as GitHub Actions secrets (prefixed with COPILOT_MCP_)
  • Autonomous execution without approval (security considerations apply)

2. VS Code Local Development

  • Configuration in .vscode/mcp.json (local developer setup)
  • Used for local development with VS Code Insider
  • API keys stored directly in config or environment variables
  • Better for individual developers or testing

Resend MCP Server

The Resend MCP Server is a local Node.js application that exposes Resend's email functionality as tools for LLMs. It implements the Model Context Protocol, allowing AI agents to:

  • Send emails via natural language commands (plain text or HTML)
  • Schedule emails for future delivery
  • Add recipients (To, CC, BCC)
  • Configure sender information (From, Reply-To)
  • Broadcast emails to audience segments
  • Manage audiences - List Resend audiences for targeted sending
  • Support HTML and plain text email bodies

Recent additions (as of early 2026):

  • Broadcast and audience management tools for marketing campaigns
  • Better error handling and validation via Zod schemas

MCP Configuration Methods

There are three ways to run the Resend MCP server:

  1. Command-type (VS Code/Cursor): Direct Node.js execution with inline arguments
  2. Stdio-type (Claude Desktop): Server handles I/O through environment variables
  3. HTTP-type (Remote/Cloud): Server exposed via HTTP endpoint

GitHub Copilot Coding Agent Specifics

For GitHub Copilot Coding Agent (repository-based setup):

  • Required tools array: Must specify which tools from the Resend MCP server Copilot can use

    • Use "tools": ["send_email", "schedule_email", ...] to allowlist specific tools
    • Use "tools": ["*"] to enable all tools
    • Use case-specific tool names from the MCP server documentation
  • No approval required: Once configured, Copilot will use these tools autonomously without asking

  • Security consideration: Copilot will have automated access to the Resend API via the configured tools, so only enable the tools you need

  • Environment variable handling: API keys must be stored as GitHub Actions secrets with COPILOT_MCP_ prefix

    • Reference them in config as "COPILOT_MCP_RESEND_API_KEY" (without the value)
    • GitHub automatically passes the secret value to the MCP server

Authentication

Resend MCP server requires:

  • RESEND_API_KEY (required): Your Resend API key from https://resend.com/api-keys
  • SENDER_EMAIL_ADDRESS (optional): Verified domain email. If not set, AI will prompt for it
  • REPLY_TO_EMAIL_ADDRESS (optional): Email address for reply-to header

Verified Domains

By default, Resend allows sending to your own account email using the test domain [email protected]. To send to other addresses:

  1. For testing: Use the default [email protected] sender (no verification needed)
  2. For custom domains: Verify your domain at https://resend.com/domains
  3. Create a sender email from your verified domain
  4. Configure it in MCP environment variables (SENDER_EMAIL_ADDRESS)

Note: If you don't provide a SENDER_EMAIL_ADDRESS, the MCP server will prompt you each time you send an email.

Code Examples

Example 1: Simple Email via Copilot Chat

In VS Code Insider with GitHub Copilot Agent mode:

@workspace I need to send a notification email to [email protected] about the project completion. Use the resend MCP tool to send "Project ABC is now live" as the email body.

Example 2: HTML Email with Custom Configuration

Send an HTML email to [email protected] with subject "Monthly Report" and body formatted as an HTML table showing Q1 metrics. Use Resend MCP to send it.

Example 3: Email with CC/BCC

Send an email from [email protected] to [email protected] CC'ing [email protected] about account activation. Use Resend MCP.

Example 4: Scheduled Email

Schedule an email to be sent tomorrow at 9 AM using Resend MCP, reminding the team about the standup meeting.

Example 5: Integration with Data Processing

Read the CSV file users.csv, extract the top 10 active users with their emails, and send each a personalized thank you email using Resend MCP. Include their usage statistics in the email.

Advanced Features

Broadcast Emails

Send emails to audience segments in your Resend account:

Send a broadcast email to my 'premium_users' audience with subject 'New Feature Release' using Resend MCP

Audience Management

Query and work with audiences:

List all my audiences in Resend using the MCP tool

Best Practices

GitHub Copilot Coding Agent Security

Important: When configuring Resend MCP for GitHub Copilot Coding Agent:

  1. Tool allowlisting - Only enable the specific tools Copilot needs:

    "tools": ["send_email", "schedule_email"]
    

    Instead of enabling all tools with "*"

  2. Secret management - Never commit API keys to version control

    • Store API keys as GitHub Actions secrets (Settings → Environments)
    • Secret names must start with COPILOT_MCP_
    • Reference secrets by name in the configuration
  3. Scope your API key - Consider using a restricted Resend API key if available

  4. Review Copilot's actions - Check pull requests created by Copilot to verify emails would be sent appropriately

  5. Environment isolation - Use the copilot environment to manage which repositories/workflows have access to your email sending capability

Configuration Management

  1. Use .env.local for development:

    # .env.local (not committed)
    RESEND_API_KEY=re_test_xxx
    SENDER_EMAIL_ADDRESS=[email protected]
    
  2. Separate configs per environment:

    • Development: Test API key, limited recipients
    • Production: Full API key, all recipients allowed
  3. Document required env vars in README.md:

    ## Environment Variables
    - RESEND_API_KEY: Resend API key (required)
    - SENDER_EMAIL_ADDRESS: Ver
how to use resend-integration-skills

How to use resend-integration-skills on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add resend-integration-skills
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/gocallum/nextjs16-agent-skills --skill resend-integration-skills

The skills CLI fetches resend-integration-skills from GitHub repository gocallum/nextjs16-agent-skills and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/resend-integration-skills

Reload or restart Cursor to activate resend-integration-skills. Access the skill through slash commands (e.g., /resend-integration-skills) or your agent's skill management interface.

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

List & Monetize Your Skill

Submit your Claude Code skill and start earning

GET_STARTED →

Use Cases

User Story & Requirements Generation

Create detailed user stories, acceptance criteria, and feature specs

Example

Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios

Reduce spec writing time by 50%, ensure comprehensive coverage

Competitive Analysis

Research competitors, compare features, identify gaps

Example

Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities

Complete competitive research in 2 hours instead of 2 days

Roadmap Prioritization

Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs

Example

Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale

Make data-driven prioritization decisions faster

Stakeholder Communication

Draft PRDs, status updates, and stakeholder presentations

Example

Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement

Save 3-5 hours/week on communication overhead

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client
  • Access to product documentation and roadmap tools (Jira, Notion, etc.)
  • Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
  • Stakeholder contact information and communication channels

Time Estimate

30-60 minutes to see productivity improvements

Installation Steps

  1. 1.Install product management skill
  2. 2.Start with user story generation for known feature
  3. 3.Progress to competitive analysis: research 2-3 competitors
  4. 4.Use for roadmap prioritization: apply RICE/ICE scoring
  5. 5.Draft stakeholder communications and refine based on feedback
  6. 6.Build template library for recurring PM tasks
  7. 7.Share effective prompts with product team

Common Pitfalls

  • Not validating competitive research—verify facts before sharing
  • Accepting user stories without involving engineering team
  • Over-relying on frameworks without qualitative judgment
  • Not customizing outputs to company culture and communication style
  • Skipping stakeholder validation of generated requirements

Best Practices

✓ Do

  • +Validate research and competitive analysis with real data
  • +Collaborate with engineering when generating technical requirements
  • +Customize frameworks and templates to your company context
  • +Use skill for first drafts, refine with stakeholder input
  • +Document successful prompt patterns for PM tasks
  • +Combine AI efficiency with human judgment and intuition

✗ Don't

  • Don't publish competitive analysis without fact-checking
  • Don't finalize user stories without engineering review
  • Don't make prioritization decisions solely on AI scoring
  • Don't skip customer validation of generated requirements
  • Don't ignore company-specific context and culture

💡 Pro Tips

  • Provide context: company goals, constraints, customer feedback
  • Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
  • Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
  • Use skill for 70% generation + 30% customization to company needs

When to Use This

✓ Use When

Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.

✗ Avoid When

Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.

Learning Path

  1. 1Basic: user stories, feature specs, status updates
  2. 2Intermediate: competitive analysis, prioritization frameworks, PRDs
  3. 3Advanced: product strategy, go-to-market planning, OKR setting
  4. 4Expert: product vision, market positioning, business model innovation

Discussion

Product Hunt–style comments (not star reviews)
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general reviews

Ratings

4.538 reviews
  • Dhruvi Jain· Dec 8, 2024

    resend-integration-skills fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Camila Sanchez· Dec 8, 2024

    Useful defaults in resend-integration-skills — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Oshnikdeep· Nov 27, 2024

    resend-integration-skills is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Luis Khanna· Nov 27, 2024

    resend-integration-skills has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Ganesh Mohane· Oct 18, 2024

    Keeps context tight: resend-integration-skills is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Luis Desai· Oct 18, 2024

    Solid pick for teams standardizing on skills: resend-integration-skills is focused, and the summary matches what you get after install.

  • Diya Bhatia· Sep 17, 2024

    Solid pick for teams standardizing on skills: resend-integration-skills is focused, and the summary matches what you get after install.

  • Sakshi Patil· Sep 9, 2024

    I recommend resend-integration-skills for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Kabir Rao· Sep 9, 2024

    resend-integration-skills reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Charlotte Agarwal· Sep 1, 2024

    resend-integration-skills fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

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