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SKILL.md — Pinecone
Real skill file for agents. When to use / when not is inside the document. This is not a fake MCP listing.
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--- name: pinecone description: Operate Pinecone as an agent using public APIs, CLIs, and docs. Twin Score agent 90. --- # Pinecone skill Pinecone is a managed vector database for retrieval-augmented generation and semantic search. The console is a thin human layer over indexes. The API is the product. We score it as infrastructure for agents first, because that is who queries it in production. Twin Score on this directory is 70 for humans and 90 for agents, using the public rubric (interface, onboarding, human docs, collaboration, support, pricing fairness, accessibility, reliability versus API quality, MCP or tool surface, CLI, structured docs, machine auth, quotas, determinism, and skill packaging). Pinecone is sold by Pinecone, founded 2019, headquartered in New York, USA. Pricing in public materials: Serverless and pod-based usage; free starter. Machine capabilities we record: API excellent, MCP none, CLI basic, docs excellent, auth API keys. This page is editorial, not a star rating scraped from users. ## When to use Use this skill when a user asks to integrate, script, or evaluate Pinecone (Pinecone). ## When not to use Do not claim an MCP server exists unless the capability matrix says so (current MCP level: none). Do not invent user-count ratings. ## Capability matrix | Surface | Level | |---|---| | API | excellent | | MCP | none | | CLI | basic | | Docs | excellent | | Auth | API keys | | Webhooks | strong | | SDKs | python, node, http | ## Auth API keys ## Pricing (public) Serverless and pod-based usage; free starter. ## Official site https://www.pinecone.io ## Twin Score Human 70. Agent 90. Updated 2026-08-01. Rubric: https://buildsomethingagentswant.com/scorecard ## Alternatives - openai-platform - supabase