aws-ow-pgvector-mcp
Basicaws-ow-pgvector-mcp is a server setup for AWS Aurora Postgres that includes the Pgvector extension, enabling advanced vector operations for machine learning and AI applications. It is designed to handle production workloads with the scalability of AWS Aurora.
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Overview
aws-ow-pgvector-mcp is a server setup for AWS Aurora Postgres that includes the Pgvector extension, enabling advanced vector operations for machine learning and AI applications. It is designed to handle production workloads with the scalability of AWS Aurora.
Installation
1Install the package
npx
Deploy the server on AWS Aurora and configure it to utilize the Pgvector extension.2Add to Claude
Add this configuration to your claude_desktop_config.json:
claude_desktop_config.json
{
"mcpServers": {
"aws-ow-pgvector-mcp": {
"command": "npx",
"args": [
"-y",
"Deploy the server on AWS Aurora and configure it to utilize the Pgvector extension."
]
}
}
}3Verify installation
Restart Claude Desktop, then ask:
"What tools do you have available from aws-ow-pgvector-mcp?"
Prerequisites
- Node.js 18 or higher
- npm or npx available
- Claude Desktop or Claude API access
Configuration
No configuration required. This server works out of the box.
Usage Examples
List Resources
"What resources are available in aws-ow-pgvector-mcp?"
Claude will query available resources and return a list of what you can access.
Get Details
"Show me details about [specific item] in aws-ow-pgvector-mcp"
Claude will fetch and display detailed information about the requested item.
Create New
"Create a new [item] in aws-ow-pgvector-mcp with [details]"
Claude will use the appropriate tool to create the resource and confirm success.
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