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How AI Agents Use ContextX

Learn how AI assistants and agents can leverage your personal context through the ContextX MCP server to provide truly personalized help.

C

ContextX Team

January 5, 2025

One of the most powerful aspects of ContextX is how it enables AI agents to access your personal context. In this guide, we'll explore how the integration works and what it means for your AI experience.

The Model Context Protocol (MCP)

ContextX implements the Model Context Protocol, an open standard for AI systems to access external context. This means any MCP-compatible AI can work with your ContextX data.

Available Tools

When an AI connects to your ContextX instance, it gains access to several tools:

  • contextx.profile - Get your profile summary
  • contextx.calendar - Access your upcoming events
  • contextx.spending - Review your financial patterns
  • contextx.query - Natural language queries against your data

A Day with ContextX

Imagine starting your morning with an AI assistant that actually knows you:

You: "What's my day looking like?"

AI: "Good morning! You have three meetings today. Your 10am with Sarah might conflict with your gym time—would you like me to suggest rescheduling? Also, based on your calendar and the weather, today might be a good day to try that new lunch spot you bookmarked."

This isn't magic—it's context. The AI accessed your calendar, your fitness schedule, weather data, and your saved places to give you a meaningful answer.

Privacy Controls

Every access is controlled by you:

  1. Tool-level permissions: Enable only the tools you want
  2. Data-level permissions: Choose which data sources are available
  3. Audit logs: See every query made against your data
  4. Instant revocation: Remove access anytime

Integration Example

For developers building AI agents, integration is straightforward:

import { Client } from "@modelcontextprotocol/sdk";

const client = new Client({
  name: "my-ai-agent",
  version: "1.0.0"
});

// Connect to user's ContextX instance
await client.connect(userContextXUrl);

// Query user's calendar
const events = await client.callTool("contextx.calendar", {
  range: "next_week"
});

The Future of Personal AI

ContextX isn't just a data storage service—it's the bridge between your digital life and AI. As AI agents become more capable, having a secure, privacy-respecting way to share context becomes essential.

Join us in building the future where AI understands you, respects your privacy, and works for you.

Get started with ContextX →

#mcp#ai-agents#integration

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