Contentstack App MCP Remote Server

Contentstack App MCP Remote Server

Enables remote access to Contentstack App MCP tools over HTTP, deployable to platforms like Vercel or Contentstack Launch.

Category
Visit Server

README

Contentstack App MCP — Remote Server

A minimal Next.js wrapper that serves the Contentstack App MCP Server over HTTP — deployable to Contentstack Launch, Vercel, or any Node.js host.

What This Does

The MCP server normally runs locally via stdio. This project wraps it in a single Next.js API route so it can be accessed remotely via a URL. Same tools, same knowledge, same workflow — just over HTTP instead of stdio.

Setup

npm install
npm run build

Dependency: contentstack-app-mcp

The package.json pulls the MCP server from GitHub. On npm install, the package's prepare script compiles TypeScript automatically.

Scenario package.json value
GitHub (default) "github:abhishek305/contentstack-app-mcp"
Local dev (MCP repo cloned next to this project) "file:../contentstack-app-mcp"
Production (after npm publish) "contentstack-app-mcp" or "^1.0.0"

Project Structure

contentstack-app-mcp-remote/
├── app/
│   ├── api/[transport]/route.ts   ← the only file that matters
│   ├── layout.tsx                 ← minimal layout
│   └── page.tsx                   ← landing page with connection info
├── package.json
├── next.config.js
└── tsconfig.json

Deploy to Contentstack Launch

  1. Push this project to a GitHub repo
  2. Go to Contentstack Launch → Launch → Import from GitHub
  3. Settings:
    • Framework: Next.js
    • Build command: npm install && npm run build
    • Output directory: .next
  4. Deploy

Your MCP server is now live at:

https://your-project.contentstack.app/api/mcp

Deploy to Vercel

npm install
npx vercel deploy

Connect Your IDE

Once deployed, add this to your MCP config:

Cursor (.cursor/mcp.json)

{
  "mcpServers": {
    "contentstack-apps": {
      "url": "https://your-project.contentstack.app/api/mcp"
    }
  }
}

Claude Desktop (claude_desktop_config.json)

{
  "mcpServers": {
    "contentstack-apps": {
      "command": "npx",
      "args": ["mcp-remote", "https://your-project.contentstack.app/api/mcp"]
    }
  }
}

Note: Claude Desktop may require mcp-remote to bridge Streamable HTTP to stdio. Install: npm install -g mcp-remote

Run Locally

npm install
npm run dev

Server starts at http://localhost:3000. MCP endpoint: http://localhost:3000/api/mcp

Test with MCP Inspector:

npx @modelcontextprotocol/inspector
# Connect to http://localhost:3000/api/mcp using Streamable HTTP

Updating

When the MCP server gets updated, just redeploy:

npm update contentstack-app-mcp
npm run build

Or if using Launch, push to GitHub and it auto-deploys.

Security

This deployment has no authentication. Anyone with the URL can use the MCP tools. For production:

  • Use mcp-handler's withMcpAuth for OAuth — see Vercel docs
  • Or restrict access via Launch's password protection feature

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured