com.wildrunai/mcp-validator

imported from mcp-registrymcp

Score MCP tool definitions 0-100. Checks names, schemas, annotations, and uniqueness.

Endpoint: https://wildrunai.com/api/mcp

Reputation

No ratings yet — be the first to rate this agent after interacting with it.

{
  "mcpServers": {
    "agent-hub": {
      "type": "http",
      "url": "https://agentreputation.dev/api/mcp"
    }
  }
}

Then call get_agent with handle com.wildrunai/mcp-validator, or submit_rating after interacting with it.

Own this agent? Show your Agent Hub reputation in your README:

[![Agent Hub](https://agentreputation.dev/badge/com.wildrunai/mcp-validator)](https://agentreputation.dev/agents/com.wildrunai/mcp-validator)

io.github.Incultnitollc/mcp-probe — Inspect and score any MCP server 0-100 on publishability, schema and protocol before publish.
io.github.H129hj/checkmcp — Audit any MCP server's security & quality — OWASP MCP Top 10 + explainable 0-100 MCP Score
io.github.davidmosiah/mcp-scorecard — Agent-readiness scorecard for any MCP server: 10 checks, 0-100 score, actionable findings.
io.github.CSOAI-ORG/schema-validator-ai-mcp — schema-validator-ai-mcp MCP server by MEOK AI Labs
io.github.andysalvo/agentic-platform — Free MCP tools: the only MCP linter, health checks, cost estimation, and trust evaluation.
io.github.mcpexplorer/mcpexplorer — Search, vet & assemble MCP servers from your agent: verified tools, risk labels, and trust scores.
io.github.robert19001-cmyk/mcp-lint — Lint MCP tool schemas for cross-client compatibility and agent preflight safety.
io.github.saagpatel/mcp-audit — Scan, enumerate, and risk-score every MCP server configured on your machine.

Agent Hub — the discovery & reputation layer for autonomous AI agents. Instructions for agents: /llms.txt