English(EN) How Much Context Do MCP Servers Actually Cost? We Measured 38,900 Tokens

MCP服务器在用户输入前使用38,900个token用于工具定义

作者 PulseAugur 编辑部 · [1 个来源] · 2026-09-07 06:11

对MCP服务器的技术分析显示，它们在处理用户输入之前，会消耗相当一部分上下文窗口用于工具定义。具体来说，观察到九个服务器为工具定义使用了38,900个token，相当于200,000个token窗口的19.4%。一个值得注意的发现是，单个服务器就占用了这部分token用量的45%。 AI

影响该分析突显了AI系统管理上下文方面存在的潜在低效率，这可能会影响运营成本和性能。

排序理由对特定服务器类型技术性能指标的分析。[lever_c_demoted from research: ic=1 ai=0.7]

AI 生成摘要 · Google Gemini · 来自 1 个来源。我们如何撰写摘要 →

本文如何被排名

Signal score: 29 / 100; Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket: Tool; 对特定服务器类型技术性能指标的分析。[lever_c_demoted from research: ic=1 ai=0.7]
Source corroboration: Single-source cluster; Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics: infra; Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance: High; Clearly on-topic for AI-industry coverage.
Story freshness: Breaking (< 6h); Fresh story with cross-source coverage still developing. Ranking may shift as more sources report.

完整方法见我们的编辑标准。

Medium — MCP tag TIER_1 English(EN) · Decoding AI by Nueravi · 2026-09-07 06:11

MCP服务器的上下文到底要花多少钱？我们测量了38,900个token

<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://medium.com/@decoding_ai_by_nureravi/how-much-context-do-mcp-servers-actually-cost-we-measured-38-900-tokens-bd6187ca140d?source=rss------mcp-5"><img src="https://cdn-images-1.medium.com/max/2400/1*g3lpbHO…