# agentvet-mcp

> Use this tool when you need to validate and refine tool-call arguments generated by Large Language Models (LLMs) to ensure accuracy and consistency. It solves problems related to argument validation, tool definition linting, and retry message generation for AI assistants, providing a robust interface for inputting LLM-generated arguments and outputting validated and refined results. Ideal for use in AI development and deployment contexts where reliable tool integration is crucial.

Canonical page: https://skillsregistry.net/skills/mukundakatta-agentvet-mcp  
JSON: https://api.skillsregistry.net/v1/skills/mukundakatta-agentvet-mcp

## Description

MCP server that validates LLM-generated tool-call arguments, lints tool definitions, and produces retry messages for AI assistants.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-05-10

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/jggiiy2pek)
- **Repository:** <https://github.com/MukundaKatta/agentvet-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "mukundakatta-agentvet-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/mukundakatta-agentvet-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/mukundakatta-agentvet-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt