Amazon Appflow MCP Server
Amazon AppFlow is a fully managed integration service from Amazon Web Services (AWS) that enables secure, automated data transfer between software-as-a-service (SaaS) applications and AWS services.
Quick Start Summary
The Amazon Appflow MCP server is a Model Context Protocol bridge that connects AI assistants — including Claude Desktop, Cursor, Windsurf, and VS Code Copilot — to the Amazon Appflow API through natural language. It exposes 10 API endpoints as callable tools, such as CreateConnectorProfile, CreateFlow, DeleteConnectorProfile, 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-appflow. This integration is sourced from the auto Amazon Appflow OpenAPI specification (v2020-08-23) and has a quality score of 46/99 (fair documentation coverage).
Server Details
- Category
- Cloud Infrastructure
- Authentication
- None
- Endpoints
- 10 operations
- Transport
- STDIO
- Spec Version
- v2020-08-23
- Install Command
npx -y @mcp/amazonaws-com-appflow
Environment Variables
AMAZON_APPFLOW_API_KEYExample: your_amazon_appflow_api_key
Top Endpoints
/create-connector-profileCreateConnectorProfile
/create-flowCreateFlow
/delete-connector-profileDeleteConnectorProfile
/delete-flowDeleteFlow
/describe-connectorDescribeConnector
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-appflow": {
"command": "npx",
"args": [
"-y",
"@mcp/amazonaws-com-appflow"
],
"env": {
"AMAZON_APPFLOW_API_KEY": "your_amazon_appflow_api_key"
}
}
}
}Cursor
Settings → MCP Servers → Add
{
"mcpServers": {
"amazonaws-com-appflow": {
"url": "https://mcpbridge.org/config/amazonaws-com-appflow.json"
}
}
}Saves as .cursor/mcp.json in the download. Move it to your project root.
VS Code
Use with MCP extension
{
"mcpServers": {
"amazonaws-com-appflow": {
"url": "https://mcpbridge.org/config/amazonaws-com-appflow.json"
}
}
}Endpoints Explorer
Search and browse the 10 operations supported by this server.
Multi-Language Code Examples
Executable code snippets for calling Amazon Appflow endpoints in curl, TypeScript, or Python.
curl -X POST "https://api.apis.guru/v2/specs/amazonaws.com/appflow/2020-08-23/create-connector-profile" \ -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-appflow": {
"command": "npx",
"args": ["-y","@mcp/amazonaws-com-appflow"],
"env": {
"AMAZON_APPFLOW_API_KEY": "your_amazon_appflow_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 Appflow 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: v2020-08-23
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.
create-flow with correctly mapped fields, based on a natural language request. It can diagnose issues by running describe-flow-execution-records to check run histories or describe-connectors to verify available connections. This turns the AI from a passive documentation viewer into an active participant in the development lifecycle, capable of automating repetitive setup tasks, auditing existing configurations, and scaffolding integration logic, thereby accelerating development and reducing manual errors.describe-connector-entity to map Salesforce fields, create-connector-profile if needed for authentication, and finally create-flow with the appropriate filters. Similarly, asking "Show me all failed flow executions from the last 24 hours and tell me which ones involve HubSpot" would trigger describe-flow-execution-records across flows, with the AI analyzing and summarizing the results. The agent could also be instructed to "Update the Slack connector profile in our staging environment with a new token," prompting a delete-connector-profile followed by a create-connector-profile, effectively managing credentials through a conversational interface.appflow:CreateFlow, appflow:DescribeFlows) and scoped to the specific resources (connector profiles and flows) it needs to manage. Storing any temporary credentials or configuration securely and avoiding the inclusion of sensitive data in flow descriptions are essential security best practices to prevent unauthorized data access or service manipulation.Similar APIs
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