"Raspberry Pi" matching MCP servers:

Enables AI agents to program MicroPython boards such as Raspberry Pi Pico and ESP32 through Thonny, with visible shell commands and optional human approval.

A Model Context Protocol server that enables Claude and other MCP-compatible AI assistants to securely access and manage PI Dashboard resources including categories and charts.

Enables pi coding agent users to run Pega Infinity authoring tools as native pi tools, with read-only access by default and write tools behind an explicit opt-in flag.

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.

API Docs Generator AI - MCP server providing AI-powered tools and automation by MEOK AI Labs

A tiny Hermes-friendly bridge that exposes oh-my-pi's CLI as MCP tools (prompt and doctor) for code generation and environment verification.

A simple AI development tool that helps users interact with AI through natural language commands, offering 29 tools across thinking, memory, browser, code quality, planning, and time management capabilities.

A FastMCP-based Model Context Protocol (MCP) server that provides unified access to multiple AI APIs including OpenAI GPT, Google Gemini, Anthropic Claude, and xAI Grok.

Spec-driven development tool for AI coding assistants that generates specs, validates code compliance, and provides actionable feedback.

An MCP bridge for the Pi coding agent running in WSL, enabling task execution, research, review, and session management through MCP.

Enables Claude Code to delegate coding implementation and testing to a local pi agent via MCP tools, including dispatching task books, monitoring status, steering or aborting runs mid-execution, and retrieving results and transcripts.

Enables AI agents and humans to control various hardware boards (ESP32, Arduino, Raspberry Pi, etc.) through a unified API via MCP, with real-time dashboard support.

MCP server that wraps codebase-memory-mcp to provide code indexing, search, tracing, and architecture analysis tools with automatic reindexing after source changes.

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

MCP server for Raspberry Pi peripheral bus access, enabling AI agents to interact with CAN, I2C, SPI, UART, and GPIO directly through natural language.

Enables Codex to supervise one or more local Pi coding-agent workers through bounded task execution, state polling, steering, aborting, and listing. Tasks can run in a direct working directory or isolated Git worktree while Codex remains the planner and reviewer.

Enables MCP clients such as Claude Code and Codex to delegate background Pi Coding Agent tasks, inspect and steer running work, and recover saved checkpoints after server restarts.

Manages MCP server configurations and exposes their tools to the Pi agent through a single gateway, with on-demand startup and discovery.

Orchestrates multiple coding agents at once so an MCP client can delegate implementation work while retaining judgment: each agent runs in its own isolated git worktree and branch, claims the files it edits, and communicates via a mailbox and shared board. Supports blocking questions to the orchestrator, Codex-written acceptance tests locked before workers start, scope validation, and reporting on first-pass success.