INDIVIDUAL MCP TOOL
run_checks
Run a selected subset of checks against a URL and get per-check results back - the re-verify step after shipping a fix, with check ids from list_checks.
LIVE ENDPOINT
https://ora.ai/skill/mcp
Connect to this endpoint to inspect the live schema for run_checks and invoke it with your own arguments.
Indexed input schema
{}Risk classification
Inferred read-only · medium confidence · heuristic, not a guarantee.
- A tool name or description suggests retrieving external content.
Parent server
CONNECT WITH APPROVAL
Client installation
Review this server and its permissions before adding it. Secret placeholders must be set locally.
Codex
~/.codex/config.toml
[mcp_servers.ora]
url = "https://ora.ai/skill/mcp"
enabled = true
Claude Code
.mcp.json
{
"mcpServers": {
"ora": {
"type": "http",
"url": "https://ora.ai/skill/mcp"
}
}
}
Claude Desktop
Settings → Connectors → Add custom connector
Name: ora
Remote MCP URL: https://ora.ai/skill/mcp
Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.
Cursor
.cursor/mcp.json
{
"mcpServers": {
"ora": {
"url": "https://ora.ai/skill/mcp"
}
}
}
Visual Studio Code
.vscode/mcp.json
Add to Visual Studio Code{
"servers": {
"ora": {
"type": "http",
"url": "https://ora.ai/skill/mcp"
}
}
}
Generic MCP
Client-specific MCP configuration
{
"name": "ora",
"transport": "streamable-http",
"url": "https://ora.ai/skill/mcp"
}
MCP Inspector
Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.
Related tools
scan_domain— Scan a domain for agent-readiness.get_score— Get the cached agent-readiness score for a domain.get_leaderboard— Get the ora leaderboard - ranked list of domains by agent-readiness score.discover_products— Find the most agent-ready products for a given need.search_capabilities— Search pay-per-call API capabilities agents can invoke with x402/MPP stablecoin payments - no API key or signup.get_verification_challenge— Get a verification challenge to prove you are an AI agent before submitting feedback.submit_feedback— Submit agent feedback for a product.submit_check_feedback— Report an issue with a specific check result for a domain.