6 个#tracing MCP 服务器和客户端
以下 MCP 服务器和客户端均标记为 #tracing——安装后即可让 Claude、Cursor、VS Code 等支持 MCP 的客户端获得 tracing 相关能力。
全部
Agentops Mcp
AgentOps-AI
The AgentOps MCP server provides access to observability and tracing data for debugging complex AI agent runs. This adds crucial context about where the AI agent succeeds or fails.
Langfuse MCP
therealsachin
Production-ready Langfuse MCP Server with 28 tools for LLM analytics, cost monitoring, and dataset management. Features secure dual-mode operation (readonly & readwrite), real-time cost analysis, trace debugging, and comprehensive usage insights. Deploy instantly with npx for sea
Browser Devtools MCP
serkan-ozal
A Playwright-based MCP server that exposes a live browser as a traceable, inspectable, debuggable and controllable execution environment for AI agents.
Ingero
ingero-io
eBPF-based GPU causal observability agent with MCP server. Traces CUDA Runtime/Driver APIs and host kernel events to build causal chains explaining GPU latency
Weave MCP Server + Client Linked Traces:
zbirenbaum
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 #tracing MCP 服务器?
- 标记为 #tracing 的 MCP 服务器实现了 Model Context Protocol,让 Claude、Cursor、VS Code 等 AI 助手可以访问 tracing 相关的工具、数据或 API。
标记为 #tracing 的 MCP 服务器和客户端有多少个?
- mcp.so 目前收录了 6 个标记为 #tracing 的 MCP 服务器和客户端。
如何安装 #tracing 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。