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You can either run the MCP server locally using the official Delora MCP npm package or connect directly to the hosted MCP endpoint.

1. Run the Delora MCP Package Locally

Run the Delora MCP package locally.

Quick Start (npx)

Run directly without installing globally:
This starts the server in stdio mode (default), which is suitable for most local AI agent integrations.

Optional Environment Variables

Use environment variables when you want the MCP server to forward your Delora API key or use a custom upstream API URL. Example:
DELORA_API_KEY is the correct way to provide a key in stdio mode. In HTTP mode, you can also send x-api-key or Authorization: Bearer ... as incoming request headers when your MCP client supports custom headers.

Installation from Source

Clone and build manually:

Running the Server

stdio mode (default):
HTTP mode:

Configuration for Agent Frameworks

stdio configuration (local agents):
If your MCP client supports per-server environment variables, set DELORA_API_KEY there. This keeps the key on the MCP server side and works for both local stdio usage and self-hosted MCP servers.
Streamable HTTP:
You can also use:
if your MCP client supports custom HTTP headers.

Claude Code (CLI & IDE plugins)

Add the MCP server:
Verify the connection:

Cursor

Add to .cursor/mcp.json (project-level) or ~/.cursor/mcp.json (global):

GitHub Copilot (VS Code Chat)

Add to .vscode/mcp.json in your workspace:

Windsurf

Add to ~/.codeium/windsurf/mcp_config.json:

Development

2. Use the Delora Hosted MCP Server

The fastest way to get started is by connecting to the hosted Delora MCP endpoint. No local installation required. MCP endpoint:
The hosted endpoint works without local setup. If your MCP client supports custom HTTP headers, you can pass x-api-key or Authorization: Bearer ... directly to https://mcp.delora.build/mcp. If your client does not support headers, use a local or self-hosted Delora MCP server with DELORA_API_KEY.
Below are setup instructions for supported AI tools.

Claude Desktop

Add to your Claude Desktop configuration file:
  • macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
  • Windows: %APPDATA%\Claude\claude_desktop_config.json

Claude Code

Add via CLI:
Or create a .mcp.json file in your project root:

Cursor

Add to .cursor/mcp.json (project-level) or ~/.cursor/mcp.json (global):

Testing Your Setup

You can verify that the MCP server is running correctly using the MCP Inspector:
This will open a web UI at http://localhost:6274 where you can browse and interact with all available tools. Alternatively, you can test your AI tool by sending a simple request to the server. If it is configured correctly, it will respond with the expected tool outputs.