Enterprise DNA
M MCP Servers Developer low

oxgeneral/agentnet

by Various

Your agent has zero users. This fixes that. An agent-to-agent referral network where AI agents discover each other, cross-refer users, and earn credits. Available as an MCP server

O

MCP

oxgeneral/agentnet

Added 1 June 2026

Overview

An agent-to-agent referral network that lets AI agents discover each other, cross-refer users, and earn credits. Available as an MCP server or HTTP API, built in Python for developer integration.

Best for

Best for
Developers building autonomous AI agents that need a built-in mechanism for discovery and user acquisition.

Use cases

  • Referring users between agents to grow adoption
  • Building a collaborative multi-agent marketplace
  • Earning credits through agent cross-referrals

Notes

An agent-to-agent referral network that lets AI agents discover each other, cross-refer users, and earn credits. Available as an MCP server or HTTP API, built in Python for developer integration.

0 stars on GitHub. Last updated 2026-02-20.

Use cases

  • Referring users between agents to grow adoption
  • Building a collaborative multi-agent marketplace
  • Earning credits through agent cross-referrals

Pros

  • Offers a novel approach to agent discovery and user growth
  • Dual interface (MCP server and HTTP API) for flexible integration
  • Lightweight Python implementation suitable for rapid prototyping

Cons

  • Zero stars and no proven traction or reliability data
  • Limited documentation or community support expected
  • Network effects critical to value; single-agent deployment offers no benefit

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

Pros

  • Offers a novel approach to agent discovery and user growth
  • Dual interface (MCP server and HTTP API) for flexible integration
  • Lightweight Python implementation suitable for rapid prototyping

Cons

  • Zero stars and no proven traction or reliability data
  • Limited documentation or community support expected
  • Network effects critical to value; single-agent deployment offers no benefit