1. Conduid
  2. Communication
  3. io.github.MukundaKatta/agentvet
MCP server · Communication

io.github.MukundaKatta/agentvet

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

Unclaimed comms
37Low

Scored 5 months ago · breakdown

About io.github.MukundaKatta/agentvet

io.github.MukundaKatta/agentvet is an MCP server in the Communication category: validate tool-call args before execution. Returns LLM-friendly retry hints.

Install

Claude Code
claude mcp add io-github-mukundakatta-agentvet -- npx -y @mukundakatta/agentvet-mcp
npx
npx -y @mukundakatta/agentvet-mcp

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

Ask AI

✦

Ask AI about io.github.MukundaKatta/agentvet

Powered by Claude · Grounded in docs

I know everything about io.github.MukundaKatta/agentvet. Ask me about installation, configuration, usage, or troubleshooting.

Security checks

  • ✓README presentThe repository ships documentation.

5 checks have not been run yet.

README

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

README copy captured when this server was indexed; it may lag the repository. The original is authoritative.

Questions

About io.github.MukundaKatta/agentvet

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

Run claude mcp add io-github-mukundakatta-agentvet -- npx -y @mukundakatta/agentvet-mcp, then add the server to your MCP client's configuration.

Is io.github.MukundaKatta/agentvet safe to use with an AI agent?

Its trust score is 37 out of 100 (low). It passes 1 of the 1 static security checks run so far. It has no ConduID identity yet, so agent calls to it are not receipted.

Is io.github.MukundaKatta/agentvet still maintained?

Conduid hasn't recorded a commit date for this repository yet. Check the repository directly for recent activity.