> ## Documentation Index
> Fetch the complete documentation index at: https://docs.civic.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Model Context Protocol (MCP)

> What is MCP and why it matters for AI applications

## Overview

The Model Context Protocol (MCP) is an open standard that enables AI assistants to securely connect with external data sources and tools. Developed by Anthropic, MCP provides a universal way for AI models to interact with your systems while maintaining security and control.

## Why MCP Matters

Traditional AI assistants are limited to their training data and built-in capabilities. MCP changes this by allowing AI to:

* **Access Real-Time Data**: Connect to databases, APIs, and live systems
* **Use External Tools**: Execute code, manage files, or interact with third-party services
* **Maintain Context**: Share relevant information across conversations and sessions
* **Preserve Security**: Control exactly what the AI can access and do

## How It Works

MCP defines a standard protocol for communication between three components:

1. **MCP Client**: The AI assistant (like Claude) that wants to use tools
2. **MCP Server**: A service that provides specific tools or data access
3. **Transport Layer**: The communication method (HTTP, stdio, etc.)

```
AI Assistant (Client) ←→ MCP Protocol ←→ Your Tools (Server)
```

## Key Concepts

### Tools

Functions that the AI can call, like "search\_database" or "send\_email". Each tool has:

* A name and description
* Input parameters
* Expected output format

### Resources

Data sources the AI can read from, like files or API endpoints.

### Prompts

Pre-configured templates that help the AI use tools effectively.

## Security Model

MCP includes built-in security features:

* **Authentication**: Verify the AI's identity before granting access
* **Authorization**: Control which tools each AI can use
* **Audit Logging**: Track all AI-tool interactions
* **Rate Limiting**: Prevent abuse or excessive usage

## In Civic Labs

We're extending MCP with additional security and management capabilities:

* **MCP Hub**: Centralized management and discovery of MCP servers
* **Guardrail Proxy**: Add security policies without modifying servers
* **Bodyguard**: Detect malicious prompts before they reach tools
* **Pass-through Proxy**: Insert custom logic into the MCP flow

## Learn More

* [Official MCP Documentation](https://modelcontextprotocol.io)
* [MCP GitHub Repository](https://github.com/modelcontextprotocol/servers)
* [Building MCP Servers Guide](https://modelcontextprotocol.io/quickstart/server)
