Developer Cuts MCP Server Task Time from 15 Minutes to Under One Minute with Granular Tools

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A developer building an MCP server for the project management tool Nuzur found that exposing broad CRUD operations to AI agents was slow and token-intensive, with some tasks taking up to 15 minutes to complete. MCP, or Model Context Protocol, is an open standard created by Anthropic in 2024 that allows AI models to connect with external tools and data sources. The core problem was that agents struggled with large, deeply nested payloads, consuming excessive tokens when reading and modifying complex structures. Replacing the broad tools with granular, task-specific ones — managing entities, fields, and relationships separately — reduced the same task's runtime to under a minute with far fewer tokens used. The developer also recommends embedding prompts and resources directly in the MCP server and soliciting feedback from the agent itself as a low-cost way to identify and fix bottlenecks.

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