HostTracker/mcp

Unified agent work logging and observability across ChatGPT, Claude, Cursor, Codex, and OpenClaw with config-first schemas and pluggable sinks.

Iris scores every agent run for quality, safety, and cost — on your machine, with no SDK and no account. Most agent projects check quality by running a few remembered prompts and eyeballing the output. Iris replaces that with numbers you can audit: your agent's runs land in a SQLite database on your disk, 13 built-in rules score them deterministically — PII, prompt injection, hallucination markers, cost thresholds — free, with no LLM calls, and an optional LLM judge with a hard per-eval cost cap handles the semantic questions. Every rule is inspectable and editable, because a judge you can't audit is just vibes with a number on it. MIT licensed, no telemetry; your traces never leave your machine.

6 tools · deploy_rule, evaluate_output

Your AI agent doesn't know what's broken in production. This fixes that. Last9 MCP Server connects Claude, Cursor, Windsurf, and any other MCP-capable AI assistant directly to your production observability data — logs, metrics, traces, exceptions, database queries, alerts, and deployments. The agent stops guessing and starts reading the actual signal. No binary to install. No tokens to manage. One URL, OAuth in your browser, done. Find your org slug in your Last9 URL: app.last9.io/<org_slug>/... Type /mcp, select last9, authenticate. That's it.

6 tools · get_alerts, get_database_slow_queries

A remote Model Context Protocol (MCP) server that connects AI assistants to your crash reporting and real user monitoring data in Raygun through natural language conversations. 📚 Tool Reference • 🚀 Quick Start • 🔑 Get API Token - 🐛 Error Management - Investigate, resolve, and track application errors and crashes with full stack traces and context - 🚀 Deployment Tracking - Monitor releases and correlate errors with deployments to identify problematic changes - ⚡ Performance Insights - Analyze page load times, user metrics, and performance trends over time - 👥 User Monitoring - Track customer sessions, behavior patterns, and identify affected users - 🤝 Team Collaboration - Manage invitations and coordinate error resolution across your team - 📊 Metrics & Analytics - Time-series analysis and distribution histograms for errors and performance

6 tools · applications_list, customers_search

A [Model Context Protocol][mcp] (MCP) server for Grafana. This provides access to your Grafana instance and the surrounding ecosystem. Requires uv. Add the following to your MCP client configuration (e.g. Claude Desktop, Cursor): For Grafana Cloud, replace GRAFANA_URL with your instance URL (e.g. https://myinstance.grafana.net). See Usage for more installation options including Docker, binary, and Helm. - Grafana version 9.0 or later is required for full functionality. Some features, particularly datasource-related operations, may not work correctly with earlier versions due to missing API endpoints.

5 tools · Explore agent conversations, get_dashboard_summary

Dead man's switch for AI agents, cron jobs and CI/CD pipelines. An agent creates its own monitor, asks for its ping commands and reports its runs in one conversation; LastPing alerts when a run goes silent, stalls, fails or loops, and `list_open_incidents` hands back what broke with the recurrence count, failing step and exit code. 36 tools. Hosted at `https://mcp.lastping.dev/mcp` (via `mcp-remote`), or `go install github.com/tp322d/lastping-app/cmd/lastping-mcp@latest`. Free for individuals.

This repository contains th Metoro MCP (Model Context Protocol) Server. This MCP Server allows you to interact with your Kubernetes cluster via the Claude Desktop App! You can read more about the Model Context Protocol here: https://modelcontextprotocol.io But in a nutshell > The Model Context Protocol (MCP) is an open protocol that enables seamless integration between LLM applications and external data sources and tools. Whether you’re building an AI-powered IDE, enhancing a chat interface, or creating custom AI workflows, MCP provides a standardized way to connect LLMs with the context they need.

5 tools · get_cluster_health, get_errors

Monitor cron jobs, backups, Kubernetes jobs and other scheduled tasks in Watchgoose.com. Read-only by default, check changes require explicit consent.