This article details how to improve the scoring of Multi-Connector Platform (MCP) servers, focusing on the criteria used by directories like Smithery and Glama. It emphasizes the importance of detailed tool descriptions, including output schemas and parameter annotations, for maximizing capability scores. The piece also advises on server scoping, suggesting smaller, focused servers (5-20 tools) to improve Glama's tool count and disambiguation scores, and highlights the need to avoid rate-limiting initialization endpoints. AI
IMPACT Provides actionable insights for developers building and deploying AI agent tools to improve their discoverability and performance.
RANK_REASON Article provides detailed guidance on optimizing a specific technical platform (MCP) for better performance in directory listings and routing.
AI-generated summary · Google Gemini · from 1 sources. How we write summaries →