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Vector Panda Documentation

com.vectorpanda/docs ยท v1.0.0

Search and read Vector Panda docs: API operations, pricing, storage tiers, measured benchmarks.

Connect Remote server

Terminal
claude mcp add --transport http docs https://www.vectorpanda.com/mcp
~/.cursor/mcp.json
{
  "mcpServers": {
    "docs": {
      "url": "https://www.vectorpanda.com/mcp"
    }
  }
}
.vscode/mcp.json
{
  "servers": {
    "docs": {
      "type": "http",
      "url": "https://www.vectorpanda.com/mcp"
    }
  }
}
Claude Desktop
Settings > Connectors > Add custom connector
URL: https://www.vectorpanda.com/mcp

Tools 8 found in our last check

  • search_docs

    Full-text search across Vector Panda concepts, tutorials, projects, and the engineering build log. Returns ranked matches with canonical URLs and freshness.

  • read_doc

    Fetch the full Markdown of one document by its site path (for example /docs/concepts/embeddings-101), as returned by search_docs.

  • get_quickstart

    The Vector Panda quickstart: install the veep Python SDK, upload a file, and run similarity queries end to end.

  • get_api_operation

    List public REST API operations, or pass one (e.g. "POST /api/v1/query") for its parameters, request body, responses, and auth. Sourced from the published OpenAPI spec.

  • get_pricing

    Current storage-tier pricing, monthly usage credits, and billing cycle. Storage-only pricing: no per-query or egress fees.

  • get_benchmark_methodology

    Measured benchmark results and full reproduction methodology (VectorDBBench through the public API), including dataset, recall, and cost.

  • compare_storage_tiers

    Hot, warm, and paused storage tiers: current per-GB prices with what each tier means for query latency and when to pick it.

  • list_supported_formats

    File formats accepted for vector ingestion, from the canonical features page.

Details

Endpointhttps://www.vectorpanda.com/mcp (Streamable HTTP)
First published7 Sep 2026
Last updated7 Sep 2026
Registry namecom.vectorpanda/docs

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