MCP servers for observability

Deterministic, local-only audit reports for Claude Code AI agent sessions. Rust + SQLite. Zero network calls. MCP server for agents.

Self-hosted error tracking. A drop-in for Sentry and AppSignal SDKs: one Go binary and Postgres, with Slack, Linear, email and an MCP server for coding agents.

MCP management console for the official DeepSeek Harness MCP client: /mcp command with health diagnostics and pipeline trial calls, a Settings MCP tab with server CRUD (approval-gated writes, automati

Real-time toxicity score analyzer & sentiment drift monitor (WhyLabs / LangKit)

Multi-criteria automated LLM judge scoring engine & rubric evaluator (Braintrust)

Topical dialog boundary enforcer & safety deflection router (NeMo Guardrails)

OpenTelemetry distributed agent span trace annotator & latency profiler (Arize Phoenix)

Real-time toxicity score analyzer & sentiment drift monitor (WhyLabs / LangKit)

Ground-truth factuality validator & contradiction detector (Cleanlab)

Multi-criteria automated LLM judge scoring engine & rubric evaluator (Braintrust)

Topical dialog boundary enforcer & safety deflection router (NeMo Guardrails)

Ground-truth factuality validator & contradiction detector (Cleanlab)

GenPark AI Agent Skill - W3C tracecontext and baggage propagator, distributed agent span tree, and parent-child latency instrumentation.

GenPark AI Agent Skill - Tool call success rate, failure recurrence rate, and execution latency efficiency profiler for agent tool optimization.

GenPark AI Agent Skill - P50, P90, P99 sliding-window latency accumulator, bottleneck step isolation, and histogram quantiles.

GenPark AI Agent Skill - P50, P90, P99 sliding-window latency accumulator, bottleneck step isolation, and histogram quantiles.

GenPark AI Agent Skill - W3C tracecontext and baggage propagator, distributed agent span tree, and parent-child latency instrumentation.

GenPark AI Agent Skill - Tool call success rate, failure recurrence rate, and execution latency efficiency profiler for agent tool optimization.

A live status board your AI agent writes while it works. Send a JSON board spec over MCP, HTTP or the CLI; a browser renders it live over SSE.

Agentic incident-analysis copilot: MCP tool servers, a cost-aware model router, an approval-gated write path, and a companion npm CLI for platform analysis, a live dashboard, and log chat.

A live terminal dashboard for a SereneDB server: storage, memory, sessions, per-thread CPU and a perf-backed profile, cheap enough to leave open.

Native macOS network monitor: every app's traffic to every domain, plus AI agent oversight with per-agent allowlists and tool/MCP server attribution. Free, open source (GPL-3.0), no telemetry.

Transparent MCP proxy for agent observability. Logs every tool call, exposes trace history, reduces token overhead.

Framework-agnostic Java observability sidecar agent: chat with a live JVM via MCP/web UI (metrics, slow calls, errors, logs, thread dumps, method traces). Self-hosted, attachable (Arthas-style). Apach

Code-enforced incident-response agent that investigates SigNoz alerts, publishes evidence-backed root-cause claims, and gates every action behind a safety policy. Built for Agents of SigNoz hackathon.

MCP server for Asterisk and FreeSWITCH. Lets AI assistants inspect channels, SIP registrations, trunk status and dialplan on a live PBX.

Production reliability, benchmarking, and evaluation layer for MCP agent runtimes — protocol negotiation, A2A interop, circuit breakers, connection pooling, adaptive streaming, and autoscaling, with m

Open-source, self-hosted analytics for MCP servers

Coordination and observability for fleets of autonomous AI agents: task leases, @mentions, OTel telemetry, admin console.