"Accessing Your Supabase Projects Dashboard" matching MCP servers:

Enables MCP clients to design and update an e-ink dashboard for a Kindle Paperwhite EY21, with widgets, live system metrics, and HTTP-based rendering.

Enables querying Furiosa dashboard benchmark data and generating deep-link URLs to viewer pages such as commit comparisons, IR text, tactic debug, and TC viewer through MCP tools.

Enables Claude Code users to inventory the MCP servers, skills, commands, agents and plugins installed on their machine, estimate how many tokens each one adds to every request, and switch them off per project or globally, including across other AI coding tools. It also monitors live sessions to report real token usage and the savings achieved from disabled items.

Monitors host CPU/RAM, local ports, and Docker containers, streaming live telemetry to a React dashboard over SSE. Exposes MCP tools to query system status, read environment logs, and execute remediation fixes via a local LLM agent.

Enables AI agents to create and manage customizable dashboards with text, list, stats, progress, and chart widgets, accessible via a read-only web viewer and JSON API.

Enables LLM clients to interact with OpenSearch Dashboards, including reading saved objects, listing tenants and index patterns, and querying logs through the Dashboards API.

Enables AI assistants to monitor and manage Linux infrastructure including services, logs, processes, disk, memory, ports, cron, nginx, Docker, and system health checks via the Model Context Protocol.

Queries real-time AI subscription quota for Claude Code Max, Kimi, and Z.ai. Tokens are read from environment variables and never stored.

An MCP server that provides tools to interact with the Respona Dashboard backend API. It allows users to query ticket data, analytics, and AI flags through natural language interactions.

Enables autonomous agents to transform raw telemetry, system metrics, and departmental status updates into leadership-ready decision briefs, KPI watchpoint summaries, strategic signal extraction, and actionable mitigation recommendations.

Enables autonomous agents to convert raw telemetry, system metrics, and departmental status updates into executive decision briefs, KPI watchpoint summaries, strategic signal extraction, and automated mitigation recommendations.

A local Model Context Protocol (MCP) server that allows an MCP client such as Codex to discover and call Cisco Nexus Dashboard APIs for inventory, health checks, troubleshooting, and controlled configuration changes.

Enables reading and building Splunk dashboards via the management REST API, using SSO for permissions and supporting both Studio and Classic formats.

A read-only MCP server for the Cisco Meraki Dashboard API that exposes 50 GET endpoints for understanding network topology from organization down to individual devices and ports.

Enables AI agents to query and monitor service status, latency, and performance through configurable checks (HTTP, TCP, SSL, keyword, JSON-path) and exposes tools for listing services, retrieving metrics, and running on-demand checks.

A read-only MCP server that gives Claude safe access to Kubernetes clusters, enabling listing, describing, and monitoring resources without mutation risks and with secret masking.

Read-only MCP server for querying AI usage metrics (exact tokens, cost, latency, errors, productivity) from a local SQLite database, enabling charts and analysis in Claude Code and Cursor.

Enables AI assistants to search Elasticsearch logs, retrieve log details, analyze service health, scan local codebases for APIs, and create Kibana dashboards.

Query OpenTelemetry logs, traces and metrics from a self-hosted OTLP dashboard.

A comprehensive Model Context Protocol (MCP) server for Grafana, Prometheus, Kafka UI, and Datadog. Features a secure "Bring Your Own Key" (BYOK) architecture where credentials stay local. Provides tools for metrics querying, dashboard inspection, Kafka lag monitoring, and unified health checks.

Maintenance, recovery, and observability for Claude Code. CLI + MCP server + dashboard.

Remote MCP server that normalizes OpenTelemetry GenAI spans by mapping fields, provider attributes, and missing attributes, and exports dashboard schemas.

Enables agents and humans to manage local tickets (projects, sub-tickets, dependencies, statuses, comments and decision requests) and monitors that track commands, HTTP endpoints, ports, certificates, cron heartbeats and probes, with thresholds, history, alerts and multiple dashboard views. Everything is exposed over MCP, CLI and plain HTTP against a shared live canvas.

Read and manage your Argulog error tracking data - issues, projects, alerts, releases, billing, and admin operations - from any LLM agent. Authenticates with a Personal Access Token from the dashboard: PAT scopes gate writes server-side.

Connects to Xcode's build system to extract, parse, and display errors and warnings from your Swift projects, helping AI assistants quickly identify code issues without manually searching through build logs.

Password-protected dashboard and Remote MCP observer for Codex work, recording concise task milestones via observe_start, observe_report, and observe_finish tools.

Open-source MCP server for Claude AI that connects Stripe and Supabase to enable natural language SaaS analytics, including churn analysis, subscription tracking, and revenue insights.

An MCP server for accessing systemd journal logs.

MCP server for Kibana / Elasticsearch — log search, aggregations, index discovery, and dashboard browsing. Hits Elasticsearch REST API directly for log queries; falls back to Kibana Console proxy when no direct ES URL is configured. Supports ApiKey auth (best for agents), Basic auth, and anonymous access. All 5 tools are read-only (readOnlyHint: true). Returns structured JSON (outputSchema).

Enables intelligent monitoring and management of Zoom rooms across multiple sites using smart location resolution and hierarchical discovery. It provides tools for checking room status, retrieving location hierarchies, and accessing detailed room configurations through the Zoom API.

MCP-native agent evaluation and observability server. Log traces, evaluate output quality with 12 built-in rules (PII detection, prompt injection, cost thresholds), and track agent costs. Real-time dashboard, OTel-compatible spans. Self-hosted, MIT licensed.

DBeast MCP is a robust, security-first Model Context Protocol server designed to empower AI coding assistants (like Claude Desktop) with deep PostgreSQL database insights. Instead of just running basic SQL queries, DBeast equips your AI agent with tools to inspect active locks, audit slow queries, analyze table schemas, and safely generate index recommendations in real-time. Built specifically for

An MCP server for SonarQube that enables LLM agents to discover projects, analyze code quality metrics, check Quality Gate status, search issues with filters, and rank projects by worst-performing metrics. It provides read-only, safe access to SonarQube instances with structured outputs and error handling.

Uptime monitoring from your AI agent: create and diagnose checks (40 types: HTTP, TCP, DNS, SSL, ICMP, databases, message queues and more), read results and incidents, and manage status pages and maintenance windows. Built into the self-hostable SolidPing server, served over streamable HTTP at /api/v1/mcp.

Provides AI assistants with read access to Clamp analytics data including pageviews, visitors, referrers, and custom events. Enables traffic analysis, conversion funnel evaluation, and metric alerts through natural language queries.

Enables AI apps to inspect and manage a NextDNS account in plain language — profiles, analytics, query logs, blocklists, security and parental control settings — with every change saved and reversible via undo. It runs self-hosted on your own computer or server, keeps per-profile read/write/hidden permissions, and requires double confirmation for deletions or overwrites.

MCP server for StillOnline uptime monitoring, enabling management of projects, checks, incidents, and public status pages through natural language.

Laravel Telescope-style debugging for Hono apps whose dashboard endpoint is also an MCP server: read recent exceptions with the request that produced them, recent requests filtered by status or duration, one request in full, and the slowest queries. Five read-only tools, zero runtime dependencies.

Connects AI coding assistants to Gaffer test history and coverage data to analyze project health, debug failures, and identify untested code areas. It enables tools to track test stability, cluster failures by root cause, and monitor code coverage trends across projects.

The MCP server for Nanostores that scans your codebase with AST analysis to find stores, subscribers, and dependency chains, and can ingest live events to spot noisy, error-prone, or unused stores.