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agntor/mcp

by Various

πŸ“‡ ☁️ 🍎 πŸͺŸ 🐧 - MCP audit server for agent discovery and certification. Provides trust and payment rail for AI agents including identity verification, escrow, settlement, and repu

A

MCP

agntor/mcp

Added 1 June 2026

Overview

agntor/mcp is an MCP audit server that enables agent discovery and certification. It provides trust and payment infrastructure for AI agents, including identity verification, escrow, settlement, and reputation tracking.

Best for

Best for
Developers building agent networks that need identity verification and payment rails

Use cases

  • Verify agent identity and trustworthiness before interaction
  • Manage escrow and settlement for agent-to-agent payments
  • Audit and certify agent behavior on a shared network

Notes

agntor/mcp is an MCP audit server that enables agent discovery and certification. It provides trust and payment infrastructure for AI agents, including identity verification, escrow, settlement, and reputation tracking.

0 stars on GitHub. Last updated 2026-02-16. Licensed MIT.

Use cases

  • Verify agent identity and trustworthiness before interaction
  • Manage escrow and settlement for agent-to-agent payments
  • Audit and certify agent behavior on a shared network

Pros

  • Addresses trust and payment gaps in agent ecosystems
  • Built as an MCP server for easy integration
  • Written in TypeScript for type safety and broad compatibility

Cons

  • Zero stars and no community traction yet
  • Limited documentation or usage examples available
  • Requires agents to adopt MCP protocol for full benefit

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

Pros

  • Addresses trust and payment gaps in agent ecosystems
  • Built as an MCP server for easy integration
  • Written in TypeScript for type safety and broad compatibility

Cons

  • Zero stars and no community traction yet
  • Limited documentation or usage examples available
  • Requires agents to adopt MCP protocol for full benefit

Pairs with

Other entries in the index that connect to this one. Click through to see the chain.

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