You can either run the MCP server locally using the Delora package or connect directly to the hosted MCP endpoint.
1. Use the Delora SDK or Hosted Package
Run the Delora MCP server locally using the official package.
Quick Start (npx)
Run directly without installing globally:
npx -y @deloraprotocol/mcp@latest
This starts the server in stdio mode (default), which is suitable for most local AI agent integrations.
Installation from Source
Clone and build manually:
git clone https://github.com/DeloraProtocol/delora-mcp.git
cd delora-mcp
npm install
npm run build
Running the Server
stdio mode (default):
npx -y @deloraprotocol/mcp@latest
# or from a cloned repository
npm start
HTTP mode:
MCP_TRANSPORT=http npx -y @deloraprotocol/mcp@latest
# or from a cloned repository
npm run start:http
# Custom Port
MCP_TRANSPORT=http PORT=3001 npx -y @deloraprotocol/mcp@latest
Configuration for Agent Frameworks
stdio configuration (local agents):
{
"delora": {
"type": "stdio",
"command": "npx",
"args": ["-y", "@deloraprotocol/mcp@latest"]
}
}
Streamable HTTP:
"delora": {
"type": "streamable-http",
"url": "http://localhost:3000/mcp"
}
Claude Code (CLI & IDE plugins)
Add the MCP server:
claude mcp add delora npx -- -y @deloraprotocol/mcp@latest
# OR
claude mcp add delora --transport http http://127.0.0.1:3000/mcp
Verify the connection:
Cursor
Add to .cursor/mcp.json (project-level) or ~/.cursor/mcp.json (global):
{
"mcpServers": {
"delora": {
"command": "npx",
"args": ["-y", "@deloraprotocol/mcp@latest"]
}
}
}
GitHub Copilot (VS Code Chat)
Add to .vscode/mcp.json in your workspace:
{
"mcpServers": {
"delora": {
"type": "stdio",
"command": "npx",
"args": ["-y", "@deloraprotocol/mcp@latest"]
}
}
}
Windsurf
Add to ~/.codeium/windsurf/mcp_config.json:
{
"mcpServers": {
"delora": {
"command": "npx",
"args": ["-y", "@deloraprotocol/mcp@latest"]
}
}
}
Development
# Run in dev mode (no build needed)
npm run dev
# Test with MCP Inspector
npm run inspect
# Run tests
npm test
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:
https://mcp.delora.build/mcp
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
{
"mcpServers": {
"delora": {
"type": "http",
"url": "https://mcp.delora.build/mcp"
}
}
}
Claude Code
Add via CLI:
claude mcp add delora --transport http --url https://mcp.delora.build/mcp
Or create a .mcp.json file in your project root:
{
"servers": {
"delora": {
"type": "http",
"url": "https://mcp.delora.build/mcp"
}
}
}
Cursor
Add to .cursor/mcp.json (project-level) or ~/.cursor/mcp.json (global):
{
"mcpServers": {
"delora": {
"url": "https://mcp.delora.build/mcp"
}
}
}
Testing Your Setup
You can verify that the MCP server is running correctly using the MCP Inspector:
npx @modelcontextprotocol/inspector --url https://mcp.delora.build/mcp
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.