Practical 5-Point Checklist to Evaluate MCP Servers Before Installing

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The Model Context Protocol ecosystem now hosts hundreds of servers, making quality assessment a critical challenge for developers. A team that built and evaluated over 60 MCP servers identified five key dimensions to judge any server: trigger accuracy, context retrieval, grounded reasoning, output usefulness, and feedback adaptability. Their analysis found retrieval drift — where a server pulls plausible but incorrect context — to be the most common failure, accounting for 40% of issues. Each dimension is scored on a 0–1 scale, and the team recommends rejecting any server that scores below 4 out of 5. Additional practical advice includes testing with adversarial prompts, checking for documented limitations, reviewing version history, and running the server in a sandbox before deployment.

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