observability
77 servers · 7,600★ total
An AI Gateway, registry, and proxy that sits in front of any MCP, A2A, or REST/gRPC APIs, exposing a unified endpoint with centralized discovery, guardrails and management. Optimizes Agent & Tool calling, and supports plugins.
A Go framework for building production agent systems with graph workflows, tools, memory, A2A, AG-UI, MCP, evaluation, and observability.
AURA is a production-tested SRE agent platform you can deploy in minutes. AURA handles the guardrails, APIs, state management, streaming, and failure handling required to put AI to work safely on production infrastructure.
🔥🔥🔥 Enterprise AI middleware, alternative to unifyapps, n8n, lyzr
MCP server for the complete Zabbix API - 237 tools, multi-server, OAuth 2.1 + bearer auth, PDF reports, systemd ready. Works with ChatGPT, Claude, VS Code, Codex, JetBrains and any MCP client.
BitDive Model Context Protocol (MCP) server. The Autonomous Quality Loop for AI agents. Provides real runtime context, before/after trace comparison, and integration testing workflows.
Curated + scored map of official MCP servers and agents for DevOps, Cloud, SRE, and Platform Engineering — every entry rated on production access, approval gates, and audit evidence.
Thoughtbox is an intention ledger for agents. Evaluate AI's decisions against its decision-making.
Make AI coding agents safe to scale autonomously: assign work, cap spend, enforce policy, verify output, roll back failures, learn from loops, and prove ROI across every repo.
Model Context Protocol (MCP) Gateway & Registry - Central hub for managing tools, resources, and prompts for MCP-compatible LLMs. Translates REST APIs into MCP, builds virtual MCP servers with security and observability, and bridges multiple transports (stdio, SSE, streamable HTTP).
Runtime visibility for Python MCP servers. Captures tool calls, session lifecycle, module imports (SHA-256), and subprocess execution as structured NDJSON. No code changes.
A Model Context Protocol (MCP) server providing AI assistants with tools to search, stream, and analyze events from Seq structured logging servers.
Audit any agent decision across its past, present, and future, on one typed graph.
Make OpenClaw usable for everyone — setup, manage, and grow it into a practical digital personal assistant.
Open-source observability and audit trail platform for AI agents. MCP-native, tamper-evident event logging, real-time dashboard.
Ready-to-use AI workflows for Zabbix monitoring management — powered by Zabbix MCP Server
MCP server for Coroot observability platform - integrate monitoring, troubleshooting, and configuration tools with AI agents
Put an AI agent on rails: mount a Burr state machine as an MCP server so the agent can only take the next allowed step, with every step recorded and replayable.
Observability engine for AI coding agents. Custom columnar log store, MCP-native, self-hosted on a $4/mo VM. No dashboards — your AI assistant sees production.
An AI agent that load-tests a code change, finds the regression in Splunk, and writes the fix. A model-agnostic, audited state machine over MCP, orchestrating the Grafana k6 and official Splunk MCP servers; any tool-calling model drives it, down to a local 8B. The agent publishes its own walk back to Splunk.
Give your AI agents structure, guardrails, and full observability — the Agent control plane built on MCP.
Transparent MCP proxy with OpenTelemetry tracing. Wrap any MCP server and persist traces to SQLite, Postgres or MySQL.
MCPlex - The MCP Smart Gateway. Semantic tool routing, security guardrails, and real-time observability for AI agents.
Agent control plane for governed AI coding: validate changes, enforce policy gates, track findings, proofs, and evals based on your habits.
面向智能座舱的云边协同 AI Agent：端侧毫秒级车控，云端声明式 Multi-Agent 与 Skill/DAG 编排，支持 S2S 实时语音、声纹多用户、视觉与 HMI；LLM 只负责理解与规划，VAL 负责确定性安全执行。
Runtime observability and reliability for the Model Context Protocol ecosystem.
Local hardware intelligence for AI coding agents. Zero cloud. Zero telemetry.
Functional Python agent framework with MCP support, enterprise security, immutable state, and production-ready observability for building scalable AI systems.
Local Codex MCP harness: contracts, persistent RAG memory, raw traces, verification records, governance policy and PASS/FLAG/BLOCK audits, observability reports, harness profiles, eval runs, Meta-Harness-lite promotion records, natural-language harness specs, MCP resources/prompts, multi-client installer, and completion gates.
Mezmo MCP: A remote Model Context Provider (MCP) for AI assistants and IDEs to interact with the Mezmo observability platform—enabling pipeline management, log querying, and root-cause analysis via the Model Context Protocol.
MCP server for self-hosted Sentry: issues, events, releases, users, org stats, and project diagnostics for AI assistants.
Trust infrastructure for AI agents — constitution enforcement and cryptographic receipts. Python SDK.
MCP server for OpenObserve — multi-instance log/trace/metrics querying with adaptive routing, batching, and LRU caching
A config-driven Model Context Protocol (MCP) reverse proxy built in Rust. Aggregates multiple MCP backends behind a single endpoint with per-backend middleware, authentication, and observability.
A self-hosted MCP Gateway for enterprise environments. Secure AI agent connections to MCP servers with tool governance, multi-tenant isolation, and full observability. Built with Rust and Vue.
Self-hosted coordination and observability hub for AI coding agents
Autonomous AI Agent Infrastructure Platform — OpenAI-compatible AI gateway with MCP support, multi-agent orchestration, tool calling, observability, memory, RAG, AI workflows, and unified infrastructure for any LLM provider.
The agent eval standard for MCP — score output quality, catch safety failures, enforce cost budgets
DebugBundle product source and runtime code.
Unified observability gateway for AI agents — one MCP server for Prometheus, Loki, and any backend, with cross-signal anomaly detection and a built-in Web UI.
Community MCP server that exposes Coroot incidents and health summaries as read-only tools for AI assistants (not an official Coroot product).
LiAgent OS is a local-first AI agent OS for building a private personal assistant with governed autonomy across local models and hybrid cloud services. It brings conversation, tool use, multi-agent orchestration, task scheduling, heartbeat execution, human approval, and auditability into one long-lived loop.
Observability for MCP servers and AI agents. TypeScript SDK, Python SDK, and CLI.
Native Model Context Protocol (MCP) server for Zabbix with an embedded AI assistant. Auto-generates API tools from the installed Zabbix version, enforces RBAC, supports OpenAI/Anthropic/Gemini/Ollama.
The open-source run log for MCP agents. Get a shareable report to verify and reproduce what the agent did — plus a protective mode for common dangerous SQL.
Multi-layer AI agent system for intelligent infrastructure management. Features AI Terraform code editor with BYOK (Bring Your Own Key), Model Context Protocol (MCP) server with 45+ tools, and self-deploying Kubernetes observability agents. Supports OpenAI, Anthropic, and Azure OpenAI.
Enterprise and government control plane for AI agents and MCP servers: govern, secure, observe, and audit. Rust, multi-provider (incl. major Chinese models).
A live terminal dashboard for a SereneDB server: storage, memory, sessions, per-thread CPU and a perf-backed profile, cheap enough to leave open.
A Datadog MCP implemented in C# that exposes logs, metrics, traces, and monitors as structured context for AI agents, enabling automated observability analysis, test validation, incident investigation, and operational insights.
Drop-in MCP proxy for debugging AI agents. Real-time timeline, replay, diff. Local-first, no telemetry, one binary.
Your coding agent has amnesia and tunnel vision. kyma is the context engine that fixes both — long-term memory plus a live, queryable view of your running system (code, logs, traces), linked by a graph.
Instantly generate a beautiful, interactive testing dashboard for your MCP servers. Plug and play in one line of code.
Near-lock-free structured logging for Rust. 10-crate workspace: MCP server (Claude/Cursor/mcp.run), OTLP HTTP+gRPC exporter, Tower middleware, WASM + WASI 0.2 component, eBPF-style enrichers, PII redaction, log analytics, test utilities, and a jq-style CLI. Sub-µs ingest via a 65k-slot ring buffer (LMAX Disruptor).
Cross-platform agent logging and observability
AI-powered log file viewer and analyzer — handles 14M+ lines with virtual scrolling, MCP agent integration, live serial/logcat/SSH/Datadog connections, pattern correlation, diff view, and built-in terminal
Model Context Protocol (MCP) server for Icinga 2 Core, Icinga Web, Icinga Director and the Linuxfabrik monitoring-plugins catalog.
MCP server for VMware Aria Operations for Logs — log search, incident detection, vROps correlation
MCP server exposing k3s, docker running on my homelab
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.
LLM-ready JVM profiler — turns a JFR recording into a compact, source-attributed hot-path & allocation summary that AI coding agents can act on. In-process agent, MCP server, and JMH plugin; library + CLI.
5-Day Hands-on AI Agents Course using Google ADK & Vertex AI | From first agent to production deployment
Self-hosted MCP gateway/proxy for AI agents — OIDC auth, Casbin RBAC/ABAC, circuit breaking, PII redaction, a 42-connector catalog, and a full admin dashboard. TypeScript.
Official SDK for Rulecatch — AI coding analytics, monitoring, and rule enforcement for Claude Code, Cursor, and AI coding assistants
MCP server for Asterisk and FreeSWITCH. Lets AI assistants inspect channels, SIP registrations, trunk status and dialplan on a live PBX.
Trust infrastructure for AI agents — constitution enforcement and cryptographic receipts. TypeScript SDK.
Rust MCP/HTTP log aggregation platform for homelab syslog, Docker logs, OTLP ingest, SQLite/FTS search, and AI transcript correlation.
Stop AI agents from confidently using stale facts. MemGuard validates memories in Mem0, Zep, Letta & LangMem against reality — trust scores, quarantine, tamper-proof audit trail, MCP tools. Like Datadog for agent memory.
Production OR-Tools optimization service exposing 11 tools across 4 intelligence levels (scheduling, routing, packing, sensitivity, robust, stochastic, Pareto, prescriptive). Dual-stack MCP + REST.
MCP (Model Context Protocol) server for Grafana - TypeScript/npm implementation with 43+ tools for dashboards, alerts, incidents, and observability
MCP server for read-only access to Grafana instances
Official MCP server for Surfa Analytics - Query your analytics data in natural language with Claude, ChatGPT or your chosen LLM/Agent
Security, cost, and health governance proxy for MCP infrastructure — YAML policy engine, OAuth 2.1/OIDC, web dashboard, mTLS, semantic shell analysis, STRIDE threat model
Transparent MCP proxy for agent observability. Logs every tool call, exposes trace history, reduces token overhead.