"Raspberry Pi" matching MCP servers:

A read-only MCP server for querying AI provider administration APIs, providing normalized usage, cost, and dashboard data for OpenAI and Anthropic.

MCP server for Pi-hole v6 that enables management of blocklists, DNS blocking, domain allow/deny lists, and query diagnostics through natural language.

Enables management of Pi-hole DNS servers through natural language commands, including enabling/disabling blocking, viewing statistics, and configuration.

Exposes a Raspberry Pi homelab's systemd service health, disk usage, CPU temperature, and LAN game-server status as read-only MCP tools, letting MCP clients answer questions like "how's the homelab doing?" without SSHing in manually.

Connects AI assistants to Pi-hole network-wide ad blocker, enabling monitoring of DNS traffic statistics, controlling blocking settings, managing whitelist/blacklist domains, viewing query logs, and performing maintenance tasks through natural language.

Provides usage data from @ccusage/pi and tools to switch between AI providers (e.g., Claude Code, OpenAI Codex, CursorAI) using load-balancing or high-availability strategies.

Enables Pi to connect to Sentry's MCP endpoint, allowing an agent to search issues, events, and traces after OAuth sign-in.

Enables AI assistants to query and manage Pi-hole v6 DNS ad-blocker instances, including logs, allow/deny lists, groups, and stats. Supports multiple Pi-hole instances from a single endpoint.

Provides unified access to multiple homelab services including Nginx Proxy Manager, Pi-hole, Uptime Kuma, Portainer, and UPS NUT for monitoring, management, and automation through a single modular interface.

MCP servers for managing homelab infrastructure. Monitor Docker/Podman containers, Ollama AI models, Pi-hole DNS, Unifi networks, and Ansible inventory.

Enables control of Pi-hole v6 ad blocking, allowing users to toggle DNS blocking status and retrieve real-time statistics like query counts and blocked domains. It provides a structured interface for monitoring and managing network-level ad filtering through the Pi-hole REST API.

A read-only MCP server that reports BI pipeline readiness, blockers, and the next allowed action for governed Power BI workflows. It never writes files, executes warehouse work, or grants human approvals.

MCP server that diagnoses Apache Spark job failures and optimizes performance using stack-trace analysis and LLM providers, supporting EMR and local sources.

Lets MCP clients answer questions about website traffic using Plausible Analytics Stats API v2 through read-only tools for totals, trends, breakdowns, and realtime visitors.

Diagnoses and manages PostgreSQL logical replication including slot WAL retention, walsender lag, stuck subscriptions, and provides gated remediation tools for safe AI-driven operations.

Enables querying Margint per-customer AI margins and costs from MCP clients. Provides tools to list customers, drill into costs, check budgets, and view workspace-wide cost breakdowns.

MCP server for Healthchecks: inspect, create and adjust cron and uptime checks, and read why one failed

Prediction stability engine for AI agents. Evaluate model stability, detect ghosts, probe any LLM for instability, monitor fleet drift. 20 tools + 1 resource. Works with Claude, Cursor, VS Code.

Software end-of-life intelligence for AI agents: EOL dates, support timelines and 0-100 upgrade risk scores for 480+ products. Check whether a version is still supported, score its risk, or audit an entire stack.

MCP server for Google Search Console: properties, sitemaps, search analytics and URL inspection