Amazon Pinpoint MCP Server
The Amazon Pinpoint API serves as the programmatic backbone for the Amazon Pinpoint service, a fully managed AWS customer engagement platform.
Quick Start Summary
The Amazon Pinpoint MCP server is a Model Context Protocol bridge that connects AI assistants — including Claude Desktop, Cursor, Windsurf, and VS Code Copilot — to the Amazon Pinpoint API through natural language. It exposes 10 API endpoints as callable tools, such as GetApps, CreateApp, GetCampaigns, and more. No authentication is required — setup takes approximately 30 seconds. The server uses STDIO transport and can be installed by running npx -y @mcp/amazonaws-com-pinpoint. This integration is sourced from the auto Amazon Pinpoint OpenAPI specification (v2016-12-01) and has a quality score of 46/99 (fair documentation coverage).
Server Details
- Category
- Developer Tools
- Authentication
- None
- Endpoints
- 10 operations
- Transport
- STDIO
- Spec Version
- v2016-12-01
- Install Command
npx -y @mcp/amazonaws-com-pinpoint
Environment Variables
AMAZON_PINPOINT_API_KEYExample: your_amazon_pinpoint_api_key
Top Endpoints
/v1/appsGetApps
/v1/appsCreateApp
/v1/apps/{application-id}/campaignsGetCampaigns
/v1/apps/{application-id}/campaignsCreateCampaign
/v1/templates/{template-name}/emailGetEmailTemplate
One-Click Install
Copy the snippet for your MCP client and paste it in — zero editing required.
Claude Desktop
Add to claude_desktop_config.json
{
"mcpServers": {
"amazonaws-com-pinpoint": {
"command": "npx",
"args": [
"-y",
"@mcp/amazonaws-com-pinpoint"
],
"env": {
"AMAZON_PINPOINT_API_KEY": "your_amazon_pinpoint_api_key"
}
}
}
}Cursor
Settings → MCP Servers → Add
{
"mcpServers": {
"amazonaws-com-pinpoint": {
"url": "https://mcpbridge.org/config/amazonaws-com-pinpoint.json"
}
}
}Saves as .cursor/mcp.json in the download. Move it to your project root.
VS Code
Use with MCP extension
{
"mcpServers": {
"amazonaws-com-pinpoint": {
"url": "https://mcpbridge.org/config/amazonaws-com-pinpoint.json"
}
}
}Endpoints Explorer
Search and browse the 10 operations supported by this server.
Multi-Language Code Examples
Executable code snippets for calling Amazon Pinpoint endpoints in curl, TypeScript, or Python.
curl -X GET "https://api.apis.guru/v2/specs/amazonaws.com/pinpoint/2016-12-01/v1/apps" \ -H "Content-Type: application/json" \ # No auth required
Manual Configuration
Directly add this block to your JSON config file, or use the hosted config registry URL.
{
"mcpServers": {
"amazonaws-com-pinpoint": {
"command": "npx",
"args": ["-y","@mcp/amazonaws-com-pinpoint"],
"env": {
"AMAZON_PINPOINT_API_KEY": "your_amazon_pinpoint_api_key"
}
}
}
}Authentication Details
No authentication required. This MCP server runs out-of-the-box.
Documentation Links
Error Handling & HTTP Status Code Matrix
Common status codes, error causes, and resolution steps when invoking Amazon Pinpoint endpoints.
400 Bad RequestCause: Malformed payload parameters or missing required fields.
Resolution: Verify request schema in Endpoints tab before calling tool.
401 UnauthorizedCause: Missing or invalid API key credentials.
Resolution: Set environment variable in MCP client config under env object.
403 ForbiddenCause: Insufficient scope permissions for requested resource.
Resolution: Verify key permissions in developer dashboard.
404 Not FoundCause: Resource URL path or requested entity ID does not exist.
Resolution: Check path variables and parameters.
429 Rate Limit ExceededCause: API rate limit quota exceeded.
Resolution: Implement exponential backoff retry in tool call.
500 Internal ErrorCause: Upstream server runtime fault.
Resolution: Inspect STDIO stderr output for log trace.
Quality Score
Checked against our protocol-compliance rules.
Specification Version: v2016-12-01
Page compiled on: June 13, 2026
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📖 Detailed MCP Integration Guide
A technical breakdown of capabilities, agent workflows, and security/configuration best practices.
GET /v1/apps tool to catalog all existing Pinpoint projects and their configurations, providing immediate context. It can then draft campaign logic by first querying active campaigns with GET /v1/apps/{application-id}/campaigns to avoid duplication or conflicts. Furthermore, the AI can perform CRUD operations on templates, enabling it to update a promotional email template in real-time to reflect a new brand logo, thereby automating what would otherwise be a manual UI-driven or scripting task. This integration allows the AI to maintain situational awareness of the user's AWS environment, leading to more accurate, context-aware, and immediately executable code suggestions and actions.GET /v1/templates/{template-name}/email to review existing templates, then composing and deploying a new template via POST /v1/templates/{template-name}/email. Simultaneously, it could employ GET /v1/apps/{application-id}/jobs/export to initiate a data export for segment analysis and, based on that data, craft a campaign definition to be submitted via POST /v1/apps/{application-id}/campaigns. Another task could be: "Archive the 'Holiday2023' campaign data and generate a summary report." The AI would then leverage the jobs/export endpoints to extract the necessary logs and engagement metrics. This transforms abstract instructions into a coordinated series of validated API operations, dramatically accelerating development and operational cycles.pinpoint:ListCampaigns, pinpoint:CreateTemplate, but not necessarily pinpoint:SendMessage if the server is for management only). API keys or IAM-based temporary credentials should be used, never hardcoded. Configuration should involve setting up environment variables or a secure secrets manager within the MCP server to handle these credentials, ensuring the AI agent operates within a tightly scoped, auditable security boundary.Similar APIs
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