MCP · Verified 60+

70 / 100

Search and execute 10,000+ AI tools via a single API. Register programmatically, obtain an API key, and start calling tools.

Scanned 2h ago · 2 views · Open site

Checks

• HTTPS5/5

  Served over HTTPS.

• llms.txt12/12

  Found /llms.txt (6078 chars).

• Agent manifest10/15

  Agent manifest has a name, but no capabilities list.

  Fix: Publish https://qveris.ai/.well-known/ai-agent.json with name, description, capabilities, contact, auth, and pricing.

• A2A agent card0/12

  No /.well-known/agent-card.json.

  Fix: Publish https://qveris.ai/.well-known/agent-card.json with name, url, and skills or capabilities.

• MCP endpoint6/12

  Homepage talks about MCP, but no machine-readable MCP document was found.

  Fix: Publish /.well-known/mcp.json (or an MCP resource metadata document) pointing at your MCP server.

• OpenAPI spec12/12

  Valid OpenAPI/Swagger document.

• Named capabilities8/8

  26 named capabilities (25 with descriptions).

• I/O schemas8/8

  Found 105 schema signals.

• Machine-readable pricing4/8

  Pricing mentioned in llms.txt, but not as structured data.

  Fix: Add a pricing object to ai-agent.json, or publish /pricing.json with currency and product amounts.

• Auth, contact, rate limits5/8

  Declared: contact, auth.

  Fix: Declare contact, auth, and rateLimit in ai-agent.json (and OpenAPI info.contact / securitySchemes).

5 checks short of a perfect 100. The fix lines above are the report — what to publish, at which path.

How scoring works · Recently graded · Back to the board