Documentation

Learn how to use MCP servers effectively and integrate them into your AI applications.

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Getting Started

Learn the basics of MCP and how to get started

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API Reference

Complete API documentation and examples

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Examples

Real-world examples and use cases

Getting Started with MCP

1.What is MCP?

The Model Context Protocol (MCP) is a standard for connecting AI models to external tools and data sources. It enables AI applications to access files, databases, APIs, and other resources in a secure and controlled manner.

ProtocolAI IntegrationTool Access

2.Installation

Install the MCP client library for your preferred programming language:

# Python

pip install mcp-client

# Node.js

npm install @modelcontextprotocol/client

# Go

go get github.com/modelcontextprotocol/go-client

3.Basic Usage

Here's a simple example of how to connect to an MCP server:

import mcp

# Connect to a server

client = mcp.Client("localhost:3000")

# List available tools

tools = client.list_tools()

# Call a tool

result = client.call_tool("read_file", {"path": "example.txt"})

Popular MCP Servers

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Database & Storage MCP

Database & Storage

Intermediate

Connect to and query databases

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API & Integration MCP

API & Integration

Advanced

Integrate with external APIs

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Web & Browser MCP

Web & Browser

Beginner

Web browsing and automation tools

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File Management MCP

File Management

Beginner

Access and manipulate files on your system

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AI & Machine Learning MCP

AI & Machine Learning

Advanced

AI and machine learning tools

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Development & Testing MCP

Development & Testing

Intermediate

Development and testing tools

Additional Resources

Community & Support

Connect with the MCP community

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Discord

Join our community chat

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Mailing List

Stay updated with news

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Blog

Read tutorials and guides

Development

Tools and resources for developers

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SDK

Official SDKs and libraries

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Testing

Testing tools and frameworks

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Analytics

Usage analytics and insights

Ready to Get Started?

Explore our directory of MCP servers and start building amazing AI applications.