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Overview

The Model Context Protocol (MCP) is an open standard that enables AI applications to connect with external data sources, tools, and services in a secure and standardized way. AIDE acts as an MCP client, allowing you to extend your AI assistant’s capabilities by connecting to various MCP servers that provide access to different data sources and tools.

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What is MCP?

Open Standard

MCP is an open protocol that standardizes how AI applications connect to external tools and data sources

Secure Integration

Provides secure, permission-based access to external resources without compromising data privacy

Extensible Architecture

Allows AI applications to dynamically connect to new tools and services as needed

Standardized Interface

Common interface for connecting to databases, APIs, file systems, and other resources

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How AIDE Uses MCP

AIDE functions as an MCP client, which means it can:

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Connect to MCP Servers

  • Data Sources: Connect to databases, file systems, and cloud storage
  • Tools & Services: Access external APIs, development tools, and business applications
  • Real-time Information: Get live data from various sources and services
  • Custom Integrations: Connect to your own custom MCP servers

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Enhanced Capabilities

  • Contextual Responses: Access relevant data from multiple sources
  • Tool Execution: Use external tools and services through MCP
  • Dynamic Learning: Adapt to new data sources and tools as they become available
  • Secure Access: Maintain security while accessing external resources

File System MCP

Access local and remote file systems, search through documents, and read file contents

Database MCP

Connect to SQL and NoSQL databases to query and analyze your data

Git MCP

Access Git repositories, view commit history, and manage version control

Web Search MCP

Perform web searches and access real-time information from the internet

Calendar MCP

Access calendar systems, schedule events, and manage appointments

Email MCP

Read emails, compose messages, and manage email communications

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Key Benefits of MCP Integration

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Enhanced AI Capabilities

  • Real-time Data: Access current information from various sources
  • Tool Integration: Use external tools and services seamlessly
  • Contextual Understanding: Better understand your environment and data
  • Automated Workflows: Execute complex workflows across multiple systems

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Security and Privacy

  • Permission-based Access: Only access what you explicitly allow
  • Local Processing: Keep sensitive data local when possible
  • Audit Trails: Track all MCP interactions for security monitoring
  • Encrypted Communication: Secure communication between AIDE and MCP servers

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Flexibility and Extensibility

  • Custom Servers: Create your own MCP servers for specific needs
  • Community Servers: Use MCP servers created by the community
  • Standard Protocol: Easy integration with any MCP-compliant service
  • Future-proof: Add new capabilities as new MCP servers become available

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Getting Started

1

Understand MCPs

Learn about the Model Context Protocol and how it works
2

Choose MCP Servers

Select the MCP servers that provide the capabilities you need
3

Configure Connections

Set up secure connections to your chosen MCP servers
4

Start Using

Begin using enhanced AI capabilities with your connected MCP servers
Community Resources: Explore the MCP community for additional servers and tools

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FAQ

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Next Steps

Adding MCPs

Learn how to connect and configure MCP servers in AIDE