Agentic AI Model Context ProtocolModel Context Protocol

Model Context Protocol

Model Context Protocol (MCP) is an open standard that lets AI models connect to external data sources and tools through a unified interface. We benchmark and compare various MCPs to evaluate their performance, reliability, and capabilities.

Code Execution with MCP: A New Approach to AI Agent Efficiency

Jul 2

Anthropic introduced a method in which AI agents interact with Model Context Protocol (MCP) servers by writing executable code rather than making direct calls to tools. The agent treats tools as files on a computer, finds what it needs, and uses them directly with code, so intermediate data doesn’t have to pass through the model’s…

Model Context ProtocolJul 1

MCP Benchmark: Top MCP Servers for Web Access

We benchmarked 8 MCP servers across web search and extraction, as well as browser automation tasks, by running 4 different tasks 5 times on all suitable MCPs. We also performed a load test involving 250 concurrent AI agents. MCP servers with web access capabilities ProductSuccess rate for web search and extractSuccess rate for browser automationWeb…