AWS Systems Manager Connector for AI agents.
3 live capabilities
Validate AWS Systems Manager configurations and parameter limits
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Why people use AWS Systems Manager
Stop guessing AWS SSM limits with AWS SSM Parameter Store Sizing Calculator
With this MCP, that guesswork disappears. You just tell your agent what you're planning to build, and it runs the math for you. You get instant confirmation that your configuration is valid and follows AWS best practices, turning a manual audit into a quick conversation.
What Vinkius changes
You get a real-time validation engine for your AWS SSM configurations.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 6,400+ Connectors
- Real-world use case 01
Preventing parameter size overflows
An engineer tries to store a large JSON blob in a SecureString.
- Real-world use case 02
Fixing overly deep parameter paths
A developer creates a nested path that's too long for AWS.
- Real-world use case 03
Scaling parameter counts safely
A team plans to move 15,000 parameters into one account.
Complete set · 3capabilities
The complete AWS Systems Manager capability set.
These are the exact actions your AI can choose when you ask it to work with AWS Systems Manager.
01—03
3 capabilities in this set.
Part of 3 available through AWS Systems Manager.
- 01 Capability
Analyze hierarchy and structure
Evaluates how your parameters are organized within their paths. It identifies if your naming structure is too deep or poorly organized.
- 02 Capability
Calculate parameter limits
Checks individual parameter sizes against AWS capacity constraints. It ensures your data fits within the service's hard limits.
- 03 Capability
Evaluate operational best practices
Compares your planned setup against AWS recommendations. It checks things like throughput and versioning to keep operations smooth.
Set up in minutes
One URL. Then ask AWS Systems Manager to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use AWS Systems Manager from the conversation.
Choose your client
Live previewAdvanced clients IDE · CLI
Claude · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_GdudFY3MQj3LjPM8907bFXZPBWmkn9Obb4fch7rl/mcp - Step 01
Open Connectors
In Claude Web or Claude Desktop, open Settings and choose Connectors.
- Step 02
Add the URL
Choose Add custom connector, name it AWS Systems Manager, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable AWS Systems Manager for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_GdudFY3MQj3LjPM8907bFXZPBWmkn9Obb4fch7rl/mcp - Step 01
Open MCP settings
On desktop, open Settings and MCP servers. On web, open your workspace app or connector settings.
- Step 02
Add the URL
Choose Add server with Streamable HTTP, or create a custom MCP app, then paste the AWS Systems Manager URL.
- Step 03
Save and start
Save the connection and enable AWS Systems Manager in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"aws-ssm-parameter-store-sizing-calculator": {
"url": "https://edge.vinkius.com/vk_preview_GdudFY3MQj3LjPM8907bFXZPBWmkn9Obb4fch7rl/mcp"
}
}
}- Step 01
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
- Step 02
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
- Step 03
Save the file
Cursor will automatically detect the new Connector
- Step 04
Start using AWS Systems Manager
Open Agent mode in chat and ask: "Using AWS Systems Manager, help me...". 3 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"aws-ssm-parameter-store-sizing-calculator": {
"url": "https://edge.vinkius.com/vk_preview_GdudFY3MQj3LjPM8907bFXZPBWmkn9Obb4fch7rl/mcp"
}
}
}- Step 01
Create MCP config
Create a .vscode/mcp.json file in your project root
- Step 02
Add the server config
Paste the JSON configuration above
- Step 03
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
- Step 04
Start using AWS Systems Manager
Ask Copilot: "Using AWS Systems Manager, help me...". 3 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"aws-ssm-parameter-store-sizing-calculator": {
"url": "https://edge.vinkius.com/vk_preview_GdudFY3MQj3LjPM8907bFXZPBWmkn9Obb4fch7rl/mcp"
}
}
}- Step 01
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
- Step 02
Add the server
Paste the JSON configuration above into mcp_config.json
- Step 03
Save and reload
Windsurf will detect the new server automatically
- Step 04
Start using AWS Systems Manager
Open Cascade and ask: "Using AWS Systems Manager, help me...". 3 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"aws-ssm-parameter-store-sizing-calculator": {
"url": "https://edge.vinkius.com/vk_preview_GdudFY3MQj3LjPM8907bFXZPBWmkn9Obb4fch7rl/mcp"
}
}
}- Step 01
Open Cline MCP Settings
Click the Connectors icon in the Cline sidebar panel
- Step 02
Add remote server
Click "Add Connector" and paste the configuration above
- Step 03
Enable the server
Toggle the server switch to ON
- Step 04
Start using AWS Systems Manager
Ask Cline: "Using AWS Systems Manager, help me...". 3 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add aws-ssm-parameter-store-sizing-calculator --transport http "https://edge.vinkius.com/vk_preview_GdudFY3MQj3LjPM8907bFXZPBWmkn9Obb4fch7rl/mcp"- Step 01
Install Claude Code
Run npm install -g @anthropic-ai/claude-code if not already installed
- Step 02
Add the Connector
Run the command above in your terminal
- Step 03
Verify the connection
Run claude mcp to list connected servers, or type /mcp inside a session
- Step 04
Start using AWS Systems Manager
Ask Claude: "Using AWS Systems Manager, show me...". 3 tools are ready
Where the request belongs
Work AWS Systems Manager can move forward.
Cloud engineers and DevOps professionals who need to design reliable, scalable parameter storage without manual limit-checking.
DevOps Engineer
Validating complex parameter hierarchies during CI/CD pipeline design.
Cloud Architect
Planning large-scale AWS infrastructure deployments to ensure parameter limits aren't breached.
Site Reliability Engineer
Auditing existing SSM configurations to ensure they follow operational best practices.
Build the capability set
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Bring your own AI
Change the model, client or framework. Keep AWS Systems Manager connected.
-
Claude -
ChatGPT -
Gemini -
Cursor -
VS Code -
Windsurf -
ZCode -
Cline -
Zed -
Continue -
Kiro -
Roo Code -
Zencoder -
Goose -
Void -
Augment Code -
Amp -
Qodo -
Tabnine -
Pieces -
Sourcegraph Cody -
JetBrains -
Warp -
Amazon Q -
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BoltAI -
Raycast -
Jan -
LM Studio -
AnythingLLM -
Open WebUI -
Msty -
Cherry Studio -
LibreChat -
TypingMind -
Chorus -
5ire -
n8n -
LangChain -
LlamaIndex -
CrewAI -
Vercel AI SDK
Before you connect
Questions about AWS Systems Manager.
The practical details behind the request, access and result.
How can I check if my AWS SSM parameter is too large using this MCP?
You can simply tell your agent the size and type of your parameter, and it will use its sizing capabilities to confirm if it fits within AWS limits.
Can the AWS SSM Parameter Store Sizing Calculator MCP help with parameter organization?
Yes, it can analyze your parameter paths to ensure your hierarchy isn't too deep and follows a logical structure.
Will this MCP tell me if my AWS configuration follows best practices?
Yes, it includes a specific capability to evaluate your planned configuration against AWS operational best practices like throughput and versioning.
Can I use this MCP to validate my Terraform or CloudFormation SSM setups?
Absolutely. You can provide the parameter details from your IaC code to your agent, and it will validate the sizing and structure for you.
Does this MCP work with any AI client?
Yes, as long as your client is MCP-compatible, such as Claude, Cursor, or Windsurf, you can use this capability immediately.
One connection away
Give your agent a direct line to AWS Systems Manager.
Connect AWS Systems Manager once. Keep it beside 6,400+ managed Connectors when the next task needs more.
Explore every Connector No credit card required · Free tier available