Best Traces AI Skills & MCP Servers
7 curated Traces skills and MCP servers — install any of them into Claude, Cursor, ChatGPT, n8n, or any AI stack with one command.
Mcplab
MCP server that exposes MCPLab evaluation tools — query runs, results, and traces via the Model Context Protocol
Toad Eye
Observability for MCP servers and LLM applications — traces, metrics, dashboards. One-line instrumentation for OpenAI, Anthropic, Gemini, and MCP. Self-hosted with Grafana + Prometheus + Jaeger.
Datadog
MCP server for Datadog API - monitors, logs, metrics, traces, dashboards and more
Tdpilot Dpsk4
AI copilot for TouchDesigner with live MCP control (DeepSeek v4 optimized) — 110 tools (incl. v2.5: td_get_activity_log, td_ocr_image, td_check_for_updates, td_get_traces, tool approval gates; v2.5.5: td_ingest_url web ingestion), focus + locations, hint
Langfuse
MCP server that exposes the Langfuse REST API as tools — query traces, observations, sessions, scores, prompts, datasets, and metrics from any MCP client.
Autotel
MCP server for AI agents to investigate OpenTelemetry traces, metrics, and logs
Langfuse Observability
Local implementation of Langfuse MCP server
About Traces skills on iClaude
iClaude is the universal install layer for AI skills. Every Traces skill on this page can be installed into Claude Code, Claude Desktop, Cursor, ChatGPT, n8n, Codex, and more — using a single copy-paste command. No config drift, no per-stack adapters, no manual MCP wiring.