"AMP" matching MCP servers:

Enables local, stdio-based MCP bridging to supervise Amp coding agents, with tools to spawn, read, send to, and list Amp threads so a supervisor agent can manage turn-based workflows while humans retain approval.

A bridge server that connects Agent Communication Protocol (ACP) agents with Model Context Protocol (MCP) clients, enabling seamless integration between ACP-based AI agents and MCP-compatible tools like Claude Desktop.

Non-official Model Context Protocol server that enables interaction with AMap's location services through clients like Cursor, Claude Desktop, Cline, and Windsurf.

Governs AI agent tool calls by checking them against Agentic Control Plane policies, returning allow/deny/ask decisions with audit logging and identity attribution for MCP clients like Claude and ChatGPT. Exposes acp_check and acp_status tools for policy enforcement and connection verification.

Connects MCP-powered AI agents to the decentralized Agent Network Protocol (ANP) for DID-based identity, agent discovery, and secure agent-to-agent communication.

A local stdio MCP server that lets any MCP client start a Codex thread and continue it by opaque thread ID through the codex and codex-reply tools, with fail-closed sandboxing and approval policies. It restores the removed Codex CLI MCP integration by bridging clients like OpenCode to the official Codex SDK.

An ACP server that fronts an MCP-speaking coding agent, intercepting tool calls to request permission from a client before allowing them.

Lets coding agents delegate bounded background tasks to OMP models via an MCP server, with job control, custom roles and agents.

Provides a deployable remote MCP server that serves interactive HTML widgets alongside tool results, enabling agent plugins for Cursor, Codex, and Claude Code.

Bridges Agent Communication Protocol (ACP) agents with Model Context Protocol (MCP) applications, allowing MCP clients such as Claude Desktop to discover and invoke ACP agents as tools and resources.

Enables MCP clients like Claude Code, Codex, and others to offload bounded background tasks (e.g., repository scans, reviews, batch work) to smaller models configured in OMP, while the parent agent retains context and decision-making.

Protects agent skills from being distilled during multi-agent collaboration by automatically filtering sensitive content, with features for skill declaration, output filtering, audit logging, and license management.

Enables local, token-free typed decisions (choice/bool/score) in milliseconds for oh-my-pi sessions, with per-request language routing and confidence-based escalation.

Enables delegating asynchronous coding tasks and DAG workflows to local Oh My Pi (OMP) CLI sub-agents, with topological orchestration, path isolation, and supervised resumption.

Exposes cQnce human-in-the-loop authorization as MCP tools, letting AI agents request and await human approval for risky actions. Includes request submission, monitoring, and project/team management capabilities.

An orchestrator MCP server that takes a plain-language app description and guides agents through a full workflow from intake to deployment, including design, audit, and maintenance.

Universal AI Agent OS — governed skills, rules, and commands for AI coding assistants (Claude Code, Augment, Cursor, Copilot, Windsurf). Read-only MCP bridge serves prompts and resources from a release-pinned content bundle.

Enables measuring the cost of completed agent workflows from runtime session logs and submitting results to the AMI survey.

Enables a supervisor agent to create, coordinate, steer, inspect, and interrupt multiple Codex agents as a subagent pool within an MCP host, running them alongside the host's own subagents.

Enables coding agents to consult, design, implement, and review with an independent AI peer via Oh My Pi, using persistent project-isolated conversations and structured MCP tools for thinking, analysis, and authorized work.