npm @mukundakatta/agentvet-mcpstdioMITupdated 1mo ago
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.
What can you do with agentvet?
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? }whereretry_hintis 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'sToolArgError.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:
@mukundakatta/agentfit-mcp— Fit it.@mukundakatta/agentguard-mcp— Sandbox it.@mukundakatta/agentsnap-mcp— Test it.@mukundakatta/agentvet-mcp— Vet it. (this)@mukundakatta/agentcast-mcp— Validate it.
License
MIT
Install
Add agentvet to your client. Pick the one you use.
claude mcp add agentvet-mcp -- npx -y @mukundakatta/agentvet-mcpcodex mcp add agentvet-mcp -- npx -y @mukundakatta/agentvet-mcpamp mcp add agentvet-mcp -- npx -y @mukundakatta/agentvet-mcp{
"mcpServers": {
"agentvet-mcp": {
"command": "npx",
"args": [
"-y",
"@mukundakatta/agentvet-mcp"
]
}
}
}Add to `claude_desktop_config.json`, then restart Claude Desktop.
{
"mcpServers": {
"agentvet-mcp": {
"command": "npx",
"args": [
"-y",
"@mukundakatta/agentvet-mcp"
]
}
}
}Add to `~/.cursor/mcp.json`, or `.cursor/mcp.json` for a single project.
code --add-mcp '{"name":"agentvet-mcp","command":"npx","args":["-y","@mukundakatta/agentvet-mcp"]}'Or add the block manually to `.vscode/mcp.json` under `servers`.
{
"mcpServers": {
"agentvet-mcp": {
"command": "npx",
"args": [
"-y",
"@mukundakatta/agentvet-mcp"
]
}
}
}Add to `~/.codeium/windsurf/mcp_config.json`.
{
"mcpServers": {
"agentvet-mcp": {
"command": "npx",
"args": [
"-y",
"@mukundakatta/agentvet-mcp"
]
}
}
}Add to `cline_mcp_settings.json` via the MCP Servers panel.
{
"mcpServers": {
"agentvet-mcp": {
"command": "npx",
"args": [
"-y",
"@mukundakatta/agentvet-mcp"
]
}
}
}Add to `~/.gemini/settings.json`.
{
"mcpServers": {
"agentvet-mcp": {
"type": "local",
"command": "npx",
"args": [
"-y",
"@mukundakatta/agentvet-mcp"
],
"tools": [
"*"
]
}
}
}Add to `~/.copilot/mcp-config.json`, or run `/mcp add` inside the CLI.
{
"context_servers": {
"agentvet-mcp": {
"command": {
"path": "npx",
"args": [
"-y",
"@mukundakatta/agentvet-mcp"
]
}
}
}
}Add to your Zed `settings.json`.
npx -y @mukundakatta/agentvet-mcpRun `goose configure`, choose **Add Extension → Command-line Extension**, and paste this command.
Score
39 / 100
Incomplete
- Documentation18/25
- Maintenance16/25
- Trust13/20
- Capability0/15
- Install experience12/15
- Documents what it does and how to connect
- Has a resolvable package or endpoint
- Exposes at least one tool, prompt or resource
- README has substantive content
- Includes a code example
- Documents its configuration
- Mentions credentials or security posture
- Last commit 31 days ago
- Has a release history
- Repository is not archived
- Licensed MIT
- Namespace verified in the official MCP registry
- Claimed by its owner
- Published under an organisation
- 0 tool(s) documented
- Provides prompt templates
- Provides resources
- 12 documented install method(s)
- Published to a package registry
- Offers a hosted endpoint — no local install
Version history
| Versions | Published |
|---|---|
| 0.1.0Latest | Apr 27, 2026 |