MCP servers tagged agent-observability

13 live MCP servers tagged "agent-observability", ranked by trust score. Tags come from package metadata and repository topics, so this list covers servers across every category that work with agent-observability.

live servers

avg trust

Agenta

The open-source workspace for building and running AI agents. Build agents through chat, share them with your team, and run background agents on schedules or app events.

Agentacct

See what your coding agents did and what it cost. Breaks each task down into work steps — tools used, files changed, tests run, time and tokens spent. Local-first dashboard for Cl…

Sandbase Harness

Open-source CMA-compatible agent runtime for any model, with MCP tools, sandboxed sessions, audit, replay, and a local console. Includes a native DeepSeek Harness bundle over stdi…

Tracely

Trace-native CI/CD for AI agents — production failures become regression tests that block the PR. Auto-detect, cluster, freeze into hermetic cases, replay in CI for $0.

Reins

Runtime security for OpenClaw agents. Scan, fix, monitor.

1flowbase

1flowbase: self-hosted AI gateway with protocol translation, dispatch, chat logs, built-in backend & React blocks to combine AI with business data. All managed by your Agent via M…

Mc Agent Toolkit

Official Monte Carlo toolkit for AI coding agents. Skills and plugins that bring data and agent observability — monitoring, triaging, troubleshooting, health checks — into Claude…

Tma1

Local-first observability your agent reads back. TMA1 records every LLM call, then routes what it sees into the agent's next turn via hooks and MCP.

Observer

Claude Code cost tracking, Cursor token usage, Codex spend — AI coding agent observability across 26 adapters, proxy-accurate token counts and cost.

Agent Trace

strace for AI agents. Capture and replay every tool call, prompt, and response from Claude Code, Cursor, or any MCP client

Hyperweave

Portable visual output layer for agents. One API call, one SVG. Zero dependencies, renders in any markdown.

Awesome X Ops

A curated map of modern X-Ops: AI Ops, LLM/Agent Observability, Platform Engineering, GitOps, DataOps, FinOps, DevSecOps, and production-grade open-source operations tooling.面向现代…

Copper

See what your AI agent is actually doing. One line, zero infra.