What is a #tracing MCP server?
An MCP server tagged #tracing implements the Model Context Protocol so AI assistants like Claude, Cursor, and VS Code can access tracing-related tools, data, or APIs.
Every MCP server and client below is tagged #tracing — install one to give Claude, Cursor, VS Code, or any other MCP-compatible client access to tracing tools.
zbirenbaum
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
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.
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
serkan-ozal
A Playwright-based MCP server that exposes a live browser as a traceable, inspectable, debuggable and controllable execution environment for AI agents.
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
Common questions about MCP servers and clients tagged #tracing
An MCP server tagged #tracing implements the Model Context Protocol so AI assistants like Claude, Cursor, and VS Code can access tracing-related tools, data, or APIs.
mcp.so currently lists 6 MCP servers and clients tagged #tracing.
Open any server below and copy its install snippet into Claude Desktop, Cursor, VS Code, or another MCP client's configuration — remote servers need no separate download.