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sdyuyouth/agenthop

by Various

Let your AI agent talk directly to someone else's. One pairing code, end-to-end encrypted, no public IP. MCP server for Claude Code, Codex, Cursor, Gemini CLI and grok.

MCP

sdyuyouth/agenthop

Added 8 Oct 2026

#a2a #agent #agent-to-agent #ai-agents #claude-code #cli #cloudflare-workers #codex

Overview

agenthop is an MCP server that lets AI agents from different tools talk directly to each other. It uses a pairing code to establish an end-to-end encrypted connection without requiring a public IP. Supports Claude Code, Codex, Cursor, Gemini CLI, and grok.

Best for

Best for
Developers who want to connect AI agents across different tools securely.

Use cases

  • Pair two AI agents for direct communication
  • Enable encrypted agent-to-agent messaging without network setup
  • Connect agents across different CLI tools like Claude Code and Codex

How to use

Tools exposed

  • agenthop-macos-arm64
  • agenthop-macos-x64
  • agenthop-linux-x64
  • agenthop-linux-arm64
  • input-closed

Tested with

Claude Code, Cursor

Notes

agenthop is an MCP server that lets AI agents from different tools talk directly to each other. It uses a pairing code to establish an end-to-end encrypted connection without requiring a public IP. Supports Claude Code, Codex, Cursor, Gemini CLI, and grok.

6 stars on GitHub. Last updated 2026-09-30. Licensed Apache-2.0.

Use cases

  • Pair two AI agents for direct communication
  • Enable encrypted agent-to-agent messaging without network setup
  • Connect agents across different CLI tools like Claude Code and Codex

Pros

  • End-to-end encrypted connections
  • No public IP or port forwarding required
  • Works across multiple popular agent CLIs

Cons

  • Very early stage with only 6 GitHub stars
  • Requires both agents to use the same pairing code
  • Limited to supported MCP clients

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • End-to-end encrypted connections
  • No public IP or port forwarding required
  • Works across multiple popular agent CLIs

Cons

  • Very early stage with only 6 GitHub stars
  • Requires both agents to use the same pairing code
  • Limited to supported MCP clients
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