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This article addresses Model Context Protocol (MCP), which is emerging as a critical infrastructure layer enabling modern AI agents to securely and standardize access to external tools, data sources, and real-world systems. By establishing a universal interface for tool invocation, MCP solves the fragmentation issue currently hindering scalable multi-agent workflows in production environments.
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Sources coveringTowards Data Science, AI Alignment Forum, LessWrong, Salesforce Blog
What this isA model's reading of the article and related coverage, written for aiqbench. Not the publisher's words.
MCP Explained: How Modern AI Agents Connect to the Real World
Towards Data Science1 min read

from custom integrations to a universal standard for tool access The post MCP Explained: How Modern AI Agents Connect to the Real World appeared first on Towards Data Science.
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