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ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use Document Metadata Flattener with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Flattens nested JSON metadata into dot-notation keys for vector store compatibility.

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 · 3 capabilities

The complete Document Metadata Flattener capability set.

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

Capability set01 / 01

01-03

3 capabilities in this set.

Part of 3 available through Document Metadata Flattener.

  1. 01

    Flatten metadata

    Converts a complex nested metadata object into a flat dictionary with dot/bracket notation keys

  2. 02

    Get metadata summary

    Provides a high-level statistical overview of a metadata object complexity

  3. 03

    Validate metadata schema

    Checks if a metadata object meets depth or structural constraints

Observed, not estimated

781ms average. Fast in production.

Document Metadata Flattener is checked daily against the live service.

Daily averagePeak 952ms
Aug 23Today
Fastest day
678ms
Slowest day
952ms
14-day trend
Slowing+8%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 3 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 Document Metadata Flattener, so you can see the experience inside your AI.

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

Document Metadata Flattener Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_In3DaGgXDVcW9RVIFpMfZTI206Iz8HGz6620407g/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 — Document Metadata Flattener capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "document-metadata-flattener-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_In3DaGgXDVcW9RVIFpMfZTI206Iz8HGz6620407g/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 Document Metadata Flattener owners ask.

  • 01

    Why do I need to flatten my metadata?

    Many vector databases, such as Chroma or FAISS, cannot filter based on nested JSON objects. Flattening converts these into a single level of keys, making them searchable.

  • 02

    How does the capability handle arrays?

    The capability uses bracket-notation for array elements. For example, an array at tags becomes tags[0], tags[1], etc.

  • 03

    What happens if there is a key collision?

    If two different paths result in the same flattened key, the capability detects the collision and prioritizes the first encountered value to prevent silent data loss.

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