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Model Context Protocol incurs high token costs due to server tool definitions

The Model Context Protocol (MCP) can incur significant token costs and latency due to its design, where each connected server loads its full tool definitions into the context window for every request. This overhead, potentially reaching 50,000 to 75,000 tokens per request with multiple servers and tools, consumes valuable context space. To mitigate this, users can reduce token usage by disabling unused servers, removing redundancies, trimming tool surface areas, and loading niche servers on demand rather than keeping them always connected. AI

IMPACT Optimizing token usage in protocols like MCP can reduce operational costs and improve the efficiency of AI applications.

RANK_REASON The item discusses a tool and a method for optimizing an existing protocol, not a new release or significant industry event.

Read on dev.to — MCP tag →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Model Context Protocol incurs high token costs due to server tool definitions

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Tool
The item discusses a tool and a method for optimizing an existing protocol, not a new release or significant industry event.
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infra
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High
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89 days old
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COVERAGE [1]

  1. dev.to — MCP tag TIER_1 English(EN) · Ali Al-Jaafari ·

    Your MCP servers are burning 50k+ tokens before you type a word

    <p>Here is something I did not realize about the Model Context Protocol until my context window kept feeling full for no reason.</p> <p>Every MCP server you connect loads its full set of tool definitions into the context window on every single request. Those schemas are not free.…