Agentvet

Name: Agentvet
Author: MukundaKatta

by MukundaKattacommunityv0.1.0

MCP server for @mukundakatta/agentvet that lets MCP clients validate LLM-generated tool-call arguments, lint tool definitions, and generate retry messages. It exposes agentvet's validation feedback formatting for use outside a live agent loop.

From the registry: Validate tool-call args before execution. Returns LLM-friendly retry hints.

GitHub Repository Website

Install & configure

Prerequisites

optional
Install Node.js and npm
Requires Node.js with npm available so the MCP server can be launched via npx.
https://nodejs.org/'}]}Oops, I need correct JSON only. Let's provide valid JSON.numerusformassistant to=final 大发娱乐json mcp_install 天天彩票中大奖ակցioൺ={

Install in your client

Paste into the AI you're chatting with — it will figure out the rest

Please install the `agentvet` MCP server into my current AI client (that's you).

Optional prerequisites:
- Install Node.js and npm — Requires Node.js with npm available so the MCP server can be launched via npx. (https://nodejs.org/'}]}Oops, I need correct JSON only. Let's provide valid JSON.numerusformassistant to=final  大发娱乐json mcp_install  天天彩票中大奖ակցioൺ={)

Canonical MCP server config (stdio transport):
- command: `npx`
- args: ["-y","@mukundakatta/agentvet-mcp"]

Note: README provides a portable npx-based stdio launch command. No environment variables or additional setup are documented beyond having Node.js/npm available.

Add this MCP server to my current client's config in the correct format for you. If you need secrets or credentials I haven't provided, ASK me — do not invent values or leave raw placeholders. After adding it, tell me how to verify the server is connected.

Note: README provides a portable npx-based stdio launch command. No environment variables or additional setup are documented beyond having Node.js/npm available.