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io.github.MukundaKatta/agentvet

Official registry AI and agents

Validate tool-call args before execution. Returns LLM-friendly retry hints.

Source code Website Documentation

Install

Add this to your client's MCP configuration (Claude Desktop: claude_desktop_config.json; Cursor: .cursor/mcp.json; VS Code and others use the same "mcpServers" shape).

NPM package @mukundakatta/agentvet-mcp
Claude Code 
claude mcp add agentvet -- npx -y @mukundakatta/agentvet-mcp@0.1.0
JSON configuration (Claude Desktop, Cursor, VS Code) 
{
    "mcpServers": {
        "agentvet": {
            "command": "npx",
            "args": [
                "-y",
                "@mukundakatta/agentvet-mcp@0.1.0"
            ]
        }
    }
}

Documentation

From the project's README on GitHub, refreshed weekly. Links open on GitHub.

Contents
  1. agentvet-mcp
  2. Add to your client
  3. Tool examples
  4. Why a separate MCP server
  5. Sibling MCP servers
  6. License

agentvet-mcp

MCP server for @mukundakatta/agentvet. Lets Claude Desktop, Cursor, Cline, Windsurf, Zed, or any other MCP client validate LLM-generated tool-call args before execution and produce LLM-friendly retry messages when something's wrong.

npx -y @mukundakatta/agentvet-mcp

Three tools:

  • validate_tool_args — check args against a small shape spec; returns { valid, error?, retry_hint? } where retry_hint is a ready-to-send LLM feedback message.
  • lint_tool_definition — sanity-check a tool definition for common mistakes that hurt LLM tool-use accuracy.
  • generate_retry_message — given a validation error, build the canonical LLM-facing retry message using agentvet's ToolArgError.toLLMFeedback() formatting.

Add to your client

Claude Desktop

Edit ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows):

{
  "mcpServers": {
    "agentvet": {
      "command": "npx",
      "args": ["-y", "@mukundakatta/agentvet-mcp"]
    }
  }
}

Same shape for Cursor (~/.cursor/mcp.json), Cline, Windsurf, Zed.

Tool examples

validate_tool_args:

{
  "tool_name": "send_email",
  "args": { "to": "a@b.com" },
  "shape": { "to": "string", "subject": "string", "body": "string" }
}

Returns:

{
  "valid": false,
  "error": "missing required field: subject",
  "retry_hint": "send_email rejected your args: missing required field: subject. Please call again with the corrected arguments."
}

lint_tool_definition:

{
  "tool": {
    "name": "BadName",
    "inputSchema": { "type": "object", "properties": { "x": { "type": "string" } } }
  }
}

Returns warnings about non-snake_case name, missing description, missing field descriptions, and no required fields.

generate_retry_message:

{
  "tool_name": "send_email",
  "validation_error": "missing required field: subject",
  "attempted_args": { "to": "a@b.com" }
}

Returns the canonical retry feedback string the runtime callers see — so you can prepare retry text outside the live agent loop.

Why a separate MCP server

@mukundakatta/agentvet is a zero-dependency JavaScript library. This MCP server makes its validation primitives accessible from any MCP-aware AI assistant. Useful for quickly auditing a registry of tools, or asking the assistant "is this args object valid for my send_email tool?" without leaving the chat.

For runtime arg validation in your agent loop, use @mukundakatta/agentvet directly inside your Node process (it wraps your tool fn and throws ToolArgError synchronously).

Sibling MCP servers

Part of the agent-stack series:

License

MIT

Frequently asked questions

What is io.github.MukundaKatta/agentvet?

Validate tool-call args before execution. Returns LLM-friendly retry hints.

How do I install io.github.MukundaKatta/agentvet?

It runs on your machine. In Claude Code: claude mcp add agentvet -- npx -y @mukundakatta/agentvet-mcp@0.1.0. For other clients, paste the JSON configuration from this page into their MCP settings.

Does io.github.MukundaKatta/agentvet need an API key?

Its registry entry lists no required key or secret. Some features may still need an account with the service it connects to.

Is io.github.MukundaKatta/agentvet open source?

Yes. Its code is on GitHub under the MIT license.

Who maintains io.github.MukundaKatta/agentvet?

It is published by MukundaKatta. AI.tn lists it but does not maintain or endorse it.

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