PulseAugur
中
实时 20:02:58
English(EN) What an MCP server's tool list costs: we counted the tokens of 34,374 of them

分析显示MCP服务器工具列表的token成本很高

对来自MCP服务器的34,374个工具列表的最新分析显示,由于token使用量,存在显著的成本影响。虽然中位数服务器只使用8个工具,但平均使用量为18.5个,少数服务器列出了数百个工具和定义,每个工具和定义都可能消耗数千个token。这种广泛的token使用量会伴随每一次模型请求,可能导致巨大的成本,特别是对于拥有多个服务器的客户。诸如提示缓存、按需加载定义和优化定义大小等策略可以帮助减轻这些费用。 AI

影响 工具列表中的高token使用量会增加AI应用程序的运营成本,促使开发人员优化定义和缓存策略。

排序理由 对MCP服务器工具列表的token成本进行分析。[lever_c_demoted from research: ic=1 ai=0.7]

在 dev.to — MCP tag 阅读 →

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

分析显示MCP服务器工具列表的token成本很高

本文如何被排名

Signal score
18 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Tool
对MCP服务器工具列表的token成本进行分析。[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, product
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。

报道来源 [1]

  1. dev.to — MCP tag TIER_1 English(EN) · Alex ·

    一个MCP服务器的工具列表要多少钱:我们计算了其中34,374个的token数量

    <p>Under our survey of 12,915 MCP servers, a reader did the arithmetic we had not: 182,157 tool definitions over 7,656 servers is about 24 tools each, and a client resends every one of them with each model request. Count the tokens of a typical list, the comment said, and that be…