What dependencies are required?
Node.js and npm are needed for local development. A Cloudflare account is required for deployment.
@akramansaritorinit
Basic information
No overview available yet
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"db-query-mcp-server": {
"command": "npx",
"args": [
"nx",
"dev",
"remote-mcp-server"
]
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
Fetch the live tool list by running this server in a temporary sandbox using the button above.
A template project for running a Model Context Protocol (MCP) server on Cloudflare Workers with OAuth login. It enables developers to deploy remote MCP servers that can be connected to MCP clients like Claude Desktop or the MCP Inspector.
Clone the repository, install dependencies, and run locally with npx nx dev remote-mcp-server. Deploy to Cloudflare using npx wrangler kv namespace create OAUTH_KV and npm run deploy. Connect MCP clients by providing the SSE endpoint (e.g., http://localhost:8787/sse locally or the Workers URL).
Node.js and npm are needed for local development. A Cloudflare account is required for deployment.
Clients connect via SSE at the `/sse` endpoint. The server uses OAuth for authentication during connection.
OAuth authentication state is stored in a Cloudflare KV namespace (`OAUTH_KV`) which must be created before deployment.
It uses Server-Sent Events (SSE) as the MCP transport protocol.
Yes. The local development setup with `npx nx dev remote-mcp-server` runs a local server at `http://localhost:8787/` for testing.
Connect ClickHouse to your AI assistants.

nuzur is a model-first database platform for MySQL and PostgreSQL. The MCP server lets any AI assistant or agent (Claude, Cursor, Gemini, or anything else that speaks MCP) design your schema, query your data, generate mi
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Zero-dependency, token-efficient database MCP server for Postgres, MySQL, SQL Server, MariaDB, SQLite.
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