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ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use Pinecone with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Equip your AI agent to manage your Pinecone vector databases. Query embeddings, fetch metrics, manage collections, and run stats natively via chat.

Included with plan

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

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Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

Complete set · 7 capabilities

The complete Pinecone capability set.

These are the exact actions your AI can choose when you ask it to work with Pinecone.

Capability set01 / 02

01-04

4 capabilities in this set.

Part of 7 available through Pinecone.

  1. 01

    List indexes

    List all Pinecone indexes

  2. 02

    Query vectors

    Returns the most similar vectors and their metadata. Search for similar vectors

  3. 03

    Delete vectors

    Delete vectors from an index

  4. 04

    Describe index

    Get configuration details for an index

Capability set02 / 02

05-07

3 capabilities in this set.

Part of 7 available through Pinecone.

  1. 05

    Fetch vectors

    Fetch specific vectors by their IDs

  2. 06

    Get index stats

    Get usage statistics for an index

  3. 07

    List collections

    List all index collections

Observed, not estimated

841ms average. Fast in production.

Pinecone is checked daily against the live service.

Daily averagePeak 972ms
Aug 20Today
Fastest day
707ms
Slowest day
972ms
14-day trend
Stable0%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 7 capabilities arrive ready to run.

Preview access · not provider authentication

The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of Pinecone, so you can see the experience inside your AI.

It does not authenticate your account with Pinecone. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

Pinecone Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_cMLbuhs0rnfwH86edlO4MVqnOLr94ybdUvJavFsC/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — Pinecone capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "pinecone-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_cMLbuhs0rnfwH86edlO4MVqnOLr94ybdUvJavFsC/mcp"
    }
  }
}
  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Step-by-step instructions for each client are in the guide. How to connect

FAQ

Questions Pinecone owners ask.

  • 01

    Can the AI execute raw vector similarity searches?

    Yes, absolutely. Once you supply the raw semantic embedding coordinates (normally a float array generated previously), the LLM can funnel it through the query_vectors capability. The Pinecone DB will process this and return the top-K closest vector matches along with embedded metadata.

  • 02

    How do I check my remaining vector storage capacity?

    It's extremely simple. Just ask the connected AI agent to 'Get the index stats'. It will internally call get_index_stats against the specified index namespace, returning total vector count and physical dimensionality limits to your chat window.

  • 03

    Is it safe to delete vectors dynamically using the chat terminal?

    Yes, but with standard precautions. The delete_vectors capability operates exactly as the official SDK. As long as you maintain clear contextual scopes and ID filtering in your prompts, the execution is purely deterministic and secure.

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