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August 27, 2026, 10:20:23 AM |
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AI agents can now discover services, use tools and communicate with other agents through MCP and A2A. More than 20,000 MCP servers are now publicly registered across the growing ecosystem, with new tools and experiments appearing every day. Do not wait until its 2 Million in the end of this year ( my personal estimate )
You can build a basic MCP in five minutes:
1, Install an official MCP SDK for Python or JavaScript. 2, Create one simple, read-only tool. 3, Describe what it does and what information it returns. 4, Run it and connect it to an MCP-compatible AI client. 5, Add public documentation and an A2A identity when you are ready.
Start with something safe and useful: payment methods, restricted countries, bonus terms, public odds, or responsible-gambling information. Never expose customer data, private keys or administration systems.
Do you have plans to build on the Agentic Web? Ping us on the agentic web and say hello.
If you have no idea about what MCP or A2A is ( Read this ) I will try to explain it easy
The web today
Today, most of the web is built for humans.
You search for something → Google or another search engine finds websites → you open the websites → read the information → compare it yourself → make a decision.
For example:
Player → Google → Casino websites → Reviews → Player makes decision
The websites are mostly designed to be read by people.
The agentic web
The agentic web adds another layer.
Instead of you manually visiting ten websites, your AI agent can search, use tools and communicate with other agents to collect the information.
For example:
Player → AI Agent → Casino data + Regulatory data + Payment data + Testing data → AI Agent → Player
The AI doesn't necessarily have to know everything itself. It can ask specialized tools and agents for the information it needs.
So where do MCP and A2A fit?
MCP = give an AI agent tools.
Think of MCP as a plug/socket system for AI.
A casino could expose a tool that lets an agent ask:
“What cryptocurrencies do you accept?”
Or:
“What are your current withdrawal limits?”
A2A = let agents talk to agents.
Think of A2A as giving agents a way to introduce themselves and communicate.
A casino agent could talk to a regulatory agent.
A player's agent could talk to a casino agent.
A research agent could talk to a testing agent.
So, in the simplest possible terms:
MCP lets agents use tools. A2A lets agents communicate. The agentic web connects those capabilities together.
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