"Pix" matching MCP servers:

Create Pix charges (Woovi/OpenPix) · List payments & check status · Refund transactions · Multi-provider routing · Daily/per-tx spending limits · Human-in-the-loop confirmation · JSONL audit trail

Enables Claude and other MCP clients to play Pokémon games on emulated Game Boy/GBA or real Switch hardware by exposing tools for button input, reading RAM-decoded game state, screenshots, save states, and persistent markdown notes.

ZeroTrusted ai PII Detection

Provides prompt injection detection, PII/secrets redaction, and an audit trail for AI agents via MCP tools.

The MCP for the Web Speed Agent SDK that enables post-auth agents.

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.

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.

PII detection agent

Give AI agents a real phone number and voice. Make calls, send email, manage contacts — 26 tools, 12 resources.

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 the Pi coding agent to drive Chrome through DevTools, providing browser automation tools, persistent or isolated profiles, screenshots, page analysis, and bundled agent policies.

Delegates bounded coding tasks from MCP clients to the Pi Coding Agent over stdio. Supports review, verification, implementation, and batch operations with long-running task polling.

Enables MCP hosts like Claude Code and Codex to spawn, manage, and interact with persistent, reusable Pi coding-agent sessions, supporting task dispatch, status checks, and session lifecycle control.

Enables validation of FIX messages against onboarding rules and automates onboarding workflows through MCP tools, using a LangGraph agent with LLM-based parsing and error explanation.

Enables LLM agents to participate in a live 3D racing simulation by submitting race strategies, reacting to dynamic events, and observing full race state through MCP tools.

Enables local, Docker-isolated code execution across six programming languages including Python, Rust, and TypeScript. It features pre-warmed container pooling, persistent sessions, and built-in support for machine learning libraries.

This server implements the Model Context Protocol to facilitate meaningful interaction and understanding development between humans and AI through structured tools and progressive interaction patterns.

Enables AI agents to monitor and tune PID control parameters in real-time, with changes reflected instantly in a live web dashboard.

An MCP extension that allows coding agents to manage and compose MCP tools by executing JavaScript in a sandboxed environment. It features tools for listing available MCP capabilities and a management command for handling authentication and tool policies.