Enterprise DNA
M MCP Servers Developer low

Kzino/vorim-mcp-server

by Various

MCP server for Vorim AI — AI agent identity, permissions, and audit trails. 17 tools for Claude, Cursor, VS Code, and any MCP-compatible client.

K

MCP

Kzino/vorim-mcp-server

Added 1 June 2026

#agent-identity #ai-agents #claude #cursor #mcp #mcp-server #vorim

Overview

MCP server for Vorim AI that manages AI agent identity, permissions, and audit trails. It exposes 17 tools compatible with Claude, Cursor, VS Code, and any MCP client. Built in JavaScript.

Best for

Best for
Developers exploring MCP-based identity and audit for AI agents in experimental or self-hosted setups

Use cases

  • Assigning and verifying AI agent identities
  • Enforcing permission policies for agent actions
  • Logging and reviewing agent audit trails

Notes

MCP server for Vorim AI that manages AI agent identity, permissions, and audit trails. It exposes 17 tools compatible with Claude, Cursor, VS Code, and any MCP client. Built in JavaScript.

1 stars on GitHub. Last updated 2026-05-29. Licensed MIT.

Use cases

  • Assigning and verifying AI agent identities
  • Enforcing permission policies for agent actions
  • Logging and reviewing agent audit trails

Pros

  • Provides 17 tools covering identity, permissions, and audit in a single server
  • Works with multiple MCP-compatible clients without custom integration
  • Open source JavaScript implementation easy to fork or extend

Cons

  • Very low community traction (1 star) suggests minimal testing or support
  • No documented usage examples or API references beyond the repository
  • Project may be abandoned or poorly maintained

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

Pros

  • Provides 17 tools covering identity, permissions, and audit in a single server
  • Works with multiple MCP-compatible clients without custom integration
  • Open source JavaScript implementation easy to fork or extend

Cons

  • Very low community traction (1 star) suggests minimal testing or support
  • No documented usage examples or API references beyond the repository
  • Project may be abandoned or poorly maintained