"Pi-hole" matching MCP servers:

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.

Delegates coding tasks to your locally installed pi CLI, inheriting providers, models, and extensions, with persistent sessions and cancellable calls.

Enables delegating coding tasks to a pi agent as a steerable background worker, allowing mid-run redirection, follow-ups, and keeping the delegate's context isolated from your main conversation.

Enables a main agent to delegate tasks to reusable Pi agents with persistent sessions, question handoffs, bounded waiting, and in-run correction, while continuing other work. It supports named agents, context retention across MCP restarts, and result retrieval through MCP without repeated polling.

Exposes pi as a sub-agent for MCP-capable coding assistants, enabling task dispatch, messaging, and interactive dialog handling via tools like pi_dispatch, pi_send, and pi_respond.

Provides read-only access to local Pi coding-agent session transcripts, enabling literal text search, exact session lookup by UUID, deterministic focused context extraction, and stable paginated reading of past conversations. All operations are scoped to a chosen project or all projects and never invoke a nested model.

Enables AI assistants to inspect and administer a self-hosted Crab-hole DNS filter over SSH, including checking status, querying blocklists, managing allow/block rules, and safely rolling out validated configuration changes.

Enables Codex to orchestrate persistent Pi RPC workers over a local MCP server, spawning dev, explore and review agents in isolated git worktrees or in place. Codex can inspect status, activity, token/cost metrics and real diffs, then merge only the accepted work and clean up idle workers.

Enables structural code analysis with worktree-aware index management, supporting explore, search, impact, and more via CodeGraph tools for Pi and OMP.

MCP server for managing Raspberry Pi K3s clusters via AI assistants like Claude Code.

Enables delegating coding tasks to the Pi CLI through MCP with named sessions, synchronous or asynchronous execution, and a read-only transcript window on Windows.

Enables MCP hosts to delegate coding tasks to Pi CLI as a programmable sub-agent with session tracking and process management.

A Model Context Protocol server that allows AI assistants like Claude and Cursor to create music and control Sonic Pi programmatically through OSC messages.

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.

MCP server exposing pi coding-agent tools for file and shell operations, including read, write, edit, bash, grep, find, and ls.

Enables capturing JPEG stills from a Raspberry Pi CSI camera and returning them as image content through the capture_image MCP tool for LLM processing.

Enables web search for the pi coding agent using z.ai GLM native search with a DuckDuckGo fallback.

MCP server for the TETA+PI verified entity registry, enabling AI agents to search, verify, and route intents to trusted entities.

Enables Pi to use GZMO's curated memory system, providing tools for memory status, search, recall, and chain operations via MCP.

Enables on-demand fuzzy filename and content search scoped to a Git repository within Oh My Pi and Pi sessions, preserving native search tools.