MCP-Server

MCP-Server

A guide and template for setting up an MCP server with Python and Node.js, integrating with Claude, and extending for Zoho CRM conversational AI.

Category
Visit Server

README

MCP Server Integration with Zoho CRM

This guide walks you through setting up an MCP (Modular Command Platform) server using Python and Node.js, integrating with Claude (via the Pro plan), and preparing your development environment in Visual Studio Code (VS Code). This setup can later be extended to communicate with Zoho CRM for conversational AI capabilities.

🚀 Prerequisites Make sure you have the following tools installed:

  • Python – A Programming language used for the server.
  • Node.js – Required for backend tooling.
  • Visual Studio Code (VS Code) – Code editor.
  • Claude Pro Plan – Required for AI integration.

📦 Installation & Project Setup Step 1: Create a New Project Folder

  1. Open Visual Studio Code.
  2. Create a new folder for your MCP project.
  3. Open a terminal in VS Code by navigating to: Menu > Terminal > New Terminal.

Step 2: Install uv and Initialize the Project Install uv, a Python package manager, by running the following in PowerShell: powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex" Then, initialize your MCP project: uv init mcp-server-demo cd mcp-server-demo

Step 3: Add MCP to Project Dependencies Add MCP to your project’s dependencies using: uv add "mcp[cli]"

Step 4: Install MCP Server Script Install the MCP server with your main script (e.g., main.py): uv run mcp install main.py

⚡ Quickstart Example: Create a Simple MCP Server Create a file named server.py and add the following code:

Import MCP server

from mcp.server.fastmcp import FastMCP

Create an MCP server

mcp = FastMCP("Demo")

Add an addition tool

@mcp.tool() def add(a: int, b: int) -> int: """Add two numbers""" return a + b

Add a dynamic greeting resource

@mcp.resource("greeting://{name}") def get_greeting(name: str) -> str: """Get a personalized greeting""" return f"Hello, {name}!"

if name == "main": mcp.run()

Run the server: python server.py

⚠️ Disclaimer Use this code at your own risk. Officehub Tech is not responsible for any issues, data loss, or damages that may arise from its use.

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
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
Qdrant Server

Qdrant Server

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

Official
Featured