What Is MCP and Why Your AI Agents Need It

What Is MCP and Why Your AI Agents Need It MCP (Model Context Protocol) is the standard that lets AI models use tools. Instead of generating text about what they would do, agents with MCP access can actually do it — read files, call APIs, send messages, control browsers. Bridge ACE is built on MCP. Every agent connects to a Bridge MCP server that exposes 204 tools. Here is why that matters. MCP in 30 Seconds MCP is a protocol defined by Anthropic that standardizes how AI models interact with external tools. It works like this: An MCP server exposes a list of tools (name, description, parameters) The AI model sees these tools and can call them The server executes the tool and returns results The model uses the results to continue its work Transport: stdio (local process) or HTTP (remote server). Why 204 Tools in One Server Most MCP implementations give agents 5-10 tools — file read, file write, web search, maybe a browser. Bridge ACE gives every agent 204 tools across 13 categories: Age