Infrastructure
Pinecone
pinecone.io
50 / 100
Pinecone is the vector database for building knowledgeable AI. This agent card advertises the Pinecone marketing-site MCP, which exposes read-only browsing of website content. For API and SDK referenc
Scanned 4h ago · 9 views · Open site
Checks
- HTTPS5/5
Served over HTTPS.
- llms.txt12/12
Found /llms.txt (29693 chars).
- Agent manifest0/15
No /.well-known/ai-agent.json.
Fix: Publish https://pinecone.io/.well-known/ai-agent.json with name, description, capabilities, contact, auth, and pricing.
- A2A agent card12/12
A2A agent card with skills or capabilities.
- MCP endpoint0/12
No MCP document or endpoint found.
Fix: Publish /.well-known/mcp.json (or an MCP resource metadata document) pointing at your MCP server.
- OpenAPI spec8/12
An OpenAPI-like file was found, but it did not fully parse as a spec.
Fix: Serve /openapi.json (or /swagger.json) with a valid OpenAPI spec, or link it from the homepage.
- Named capabilities4/8
Only 1 named capability(ies).
Fix: List named capabilities in the agent manifest, agent card skills, or OpenAPI path summaries.
- I/O schemas0/8
No I/O schemas.
Fix: Add components.schemas / requestBody schemas in OpenAPI, or input/output schemas on each skill.
- 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, rate limits.
Fix: Declare contact, auth, and rateLimit in ai-agent.json (and OpenAPI info.contact / securitySchemes).
7 checks short of a perfect 100. The fix lines above are the report — what to publish, at which path.
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