Qtum.AI and the Model Context Protocol (MCP)
Discover how Qtum is pioneering the integration of AI and blockchain through new protocols that give models real-world capabilities.
What is MCP?
MCP (Model Context Protocol) is a new protocol that allows AI models to interface with external systems in a standardized way—like APIs, databases, browsers, and your local file system. Think of it as giving your AI "arms and legs." Instead of just replying with text, an AI can now do things like edit files, browse GitHub issues, query a database, or automate browser tasks.
This removes the manual steps between an AI's suggestion and a real-world action, standardizing tool access and enabling persistent agents that integrate with your workflows.
How It Works
1. Request Action
The LLM requests an action via a function call (e.g., `read_file`).
2. Server Receives
An MCP Server receives the request and runs your code (e.g., calls an API).
3. Return Data
The server returns the data to the LLM in a structured format (JSON).
4. Process & Act
The LLM processes the result, reasons about it, and takes further action.
Useful MCP Servers in Practice
Context7
Enhances AI coding agents with high-quality, relevant web context, powering smarter agent behavior.
Playwright
Lets agents build and test UI features end-to-end by interacting with the DOM and simulating user actions.
Sentry
Creates an AI bug fixer that automatically pulls bug info, diagnoses the issue, and fixes the code.
GitHub
Manages issues, creates PRs, and navigates repositories for hands-free productivity.
PostgreSQL
Used for backend debugging, schema validation, and prototyping new features via the AI.
And Many More...
Filesystem, Slack, Google Drive, Brave Search, Shell, Git, and custom APIs.
Qtum.AI: Blockchain Meets AI
On-Chain AI Governance
Leverage Qtum's decentralized governance protocol to manage AI model updates, voting on model improvements, and ensuring transparent AI decision-making processes.
- •Decentralized model training coordination
- •Token-incentivized data contribution
- •Transparent AI decision audit trails
Smart Contract Integration
Enable AI agents to interact directly with Qtum smart contracts, creating autonomous systems that can execute blockchain transactions based on AI decisions.
- •AI-powered DeFi strategies
- •Automated smart contract deployment
- •Intelligent oracle networks
Ready to Build the Future?
Join the Qtum.AI initiative and help shape the future of AI-blockchain integration. Whether you're a developer, researcher, or enthusiast, there's a place for you in our ecosystem.
