3 个#cost-tracking MCP 服务器和客户端
以下 MCP 服务器和客户端均标记为 #cost-tracking——安装后即可让 Claude、Cursor、VS Code 等支持 MCP 的客户端获得 cost-tracking 相关能力。
全部
Passive Cost Memory for Agent Development
RaleighSF
Burnwatch detects every paid service in your project, tracks spend across 14 AI-native tools (Anthropic, OpenAI, Vercel, Supabase, Stripe, Scrapfly, Browserbase, and more), and exposes real-time cost data via MCP tools — so any LLM can factor budget into its recommendations. Four
Llm Usage & Cost Tracker
zhaoyue722
A local-first, multi-provider cost meter for LLM usage, exposed as MCP tools. Captures every call into a local SQLite ledger and lets any coding agent query spend, compare providers, and get recommendations — no cloud, no account. First-class support for Chinese providers (Qwen,
Iris
iris-eval
The first MCP-native eval and observability tool for AI agents. Any MCP-compatible agent discovers and uses Iris automatically — no SDK, no code changes. Log traces with hierarchical span trees, evaluate output quality with 12 built-in rules (PII detection, prompt injection, cost
常见问题
什么是 #cost-tracking MCP 服务器？
- 标记为 #cost-tracking 的 MCP 服务器实现了 Model Context Protocol，让 Claude、Cursor、VS Code 等 AI 助手可以访问 cost-tracking 相关的工具、数据或 API。
标记为 #cost-tracking 的 MCP 服务器和客户端有多少个？
- mcp.so 目前收录了 3 个标记为 #cost-tracking 的 MCP 服务器和客户端。
如何安装 #cost-tracking MCP 服务器？
- 打开下方任意服务器页面，将安装配置复制到 Claude Desktop、Cursor、VS Code 或其他 MCP 客户端的配置中即可——远程服务器无需单独下载。