DoorDash-MCP-Server
The MCP Server Guide provides instructions for building and deploying a Model Context Protocol server using Node.js and TypeScript.
MCP Server Guide
To build the MCP server, run:
npm install && npm run build
This will compile the typescript files and produce a build directory plus it will output the json you can copy/paste into your MCP client (Claude Desktop, Windsurf, Cursor, etc.)
If all things go well, this will produce an output similar to this:
{
"mcpServers": {
"doordash": {
"command": "node",
"args": [
"<thePathToYour>/build/index.js"
],
"env": [
{
"DOORDASH_API_KEY": "<REPLACE>"
}
]
}
}
}
Support & Feedback
If things do not compile, or you have more advanced needs, please reach out to me at, .
Sharing
If you have found value in this service please share it on social media. You can tag me @jordandalton on X, or jdcarnivore on Reddit.
Related MCP Servers
View all typescript servers →mcp-unity
by CoderGamester
MCP Unity is an implementation of the Model Context Protocol for Unity Editor, allowing AI assistants to interact with your Unity projects.
marvel-mcp
by DanWahlin
MCP Server for the Marvel Developer API, enabling interaction with characters and comics data.
superset-mcp-server
by LiusCraft
The MCP Server Superset is a server-side application built on the Apache Superset REST API, enabling basic query capabilities through large models.
hubble-ai-mcp
by HubbleVision
Hubble AI for Solana is an AI-powered analytics tool that provides data analysis and visualization for Solana blockchain transactions using natural language queries.
dad-mcp
by andyrewlee
DadMCP is a remote Model Context Protocol server designed to enhance children's creativity through AI-powered education at home.
wrenai-mcp-server
by jfzhou5
Custom MCP servers for wrenai are designed to facilitate the integration and testing of model context protocol servers with specific configurations and tools.
mcp-server-erp
by coryhighsea
The Model Context Protocol (MCP) server is designed to facilitate communication and interaction with language models, providing a structured and efficient way to manage model contexts.