Server detail
The nile-mcp-server provides a standardized interface for developers to interact directly with Nile's multi-tenant Postgres infrastructure via LLMs. Instead of manually switching between SQL clients and administrative dashboards, this MCP server allows your AI coding assistant to programmatically manage database schemas, query tenant-specific data, and handle user authentication flows. It bridges the gap between natural language intent and complex multi-tenant operations, making it ideal for building agentic workflows that need to perform administrative tasks or data inspections without human intervention. Unlike generic Postgres connectors, this is purpose-built for the Nile ecosystem, offering streamlined access to tenant and auth management that standard SQL drivers often lack. Integration is straightforward: once configured, your local or cloud-based LLM agent gains a secure, structured way to navigate your application's multi-tenant landscape.
An MCP server that exposes niledatabase/nile-mcp-server capabilities to MCP-compatible AI clients.
Collections featuring this MCP
Tool testing
niledatabase-nile-mcp-server
Call the MCP capabilities provided by niledatabase/nile-mcp-server and return a structured result.
inputPass arguments according to the server tool schema.Connection modes
{
"mcpServers": {
"niledatabase/nile-mcp-server": {
"url": "Generated by the provider after deployment"
}
}
}The Remote endpoint is generated by the provider after deployment; this page does not fabricate an unusable endpoint.
No npm package is recorded. Open the source repository to complete command and args.If no npm package is registered, follow the installation method in the source repository.
How to use
- 01Step 1
Review server capabilities and permission scope.
- 02Step 2
Copy the install command or JSON configuration.
- 03Step 3
Run a small connection test in your client.
- 04Step 4
Adopt it long term only after reviewing access and maintenance.
Discussions
Use this space to keep checking source information, usage experience and maintenance status.
Open source page