A
licenseA
qualityA
maintenanceDiscover and evaluate APIs for AI agents with AN Score, then access them through MCP or REST with zero-signup discovery and managed execution paths.
Last updated
16
11
3
MIT
agent-validator-mcp-server
by AiAgentKarl
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@agent-validator-mcp-servervalidate the API endpoint https://api.example.com/data"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Agent Interface Validator 🔍
Lighthouse for AI agents — test if APIs and services are properly accessible to AI agents. Get scores, grades, and actionable recommendations.
Installation
pip install agent-validator-mcp-server{"mcpServers": {"validator": {"command": "uvx", "args": ["agent-validator-mcp-server"]}}}Related MCP server: fetchsandbox-mcp
Tools
Tool | Description |
| Test a single API endpoint (score 0-100) |
| Check an OpenAPI spec for agent-friendliness |
| Check if a domain has an Agent Interface spec |
More MCP Servers by AiAgentKarl
Category | Servers |
🔗 Blockchain | |
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🔒 Security | |
🤖 Agent Infra | Memory · Directory · Hub · Reputation |
🔬 Research |
License
MIT
Maintenance
–Maintainers
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–Releases (12mo)
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If you are the server author, to access and configure the admin panel.
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