Vector Panda Documentation
com.vectorpanda/docsSearch and read Vector Panda docs: API operations, pricing, storage tiers, measured benchmarks.
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Tools · 8
Full-text search across Vector Panda concepts, tutorials, projects, and the engineering build log. Returns ranked matches with canonical URLs and freshness.
Fetch the full Markdown of one document by its site path (for example /docs/concepts/embeddings-101), as returned by search_docs.
The Vector Panda quickstart: install the veep Python SDK, upload a file, and run similarity queries end to end.
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.
Current storage-tier pricing, monthly usage credits, and billing cycle. Storage-only pricing: no per-query or egress fees.
Measured benchmark results and full reproduction methodology (VectorDBBench through the public API), including dataset, recall, and cost.
Hot, warm, and paused storage tiers: current per-GB prices with what each tier means for query latency and when to pick it.
File formats accepted for vector ingestion, from the canonical features page.
How to use
Claude Desktop or claude.ai: add a custom connector (Customize → Connectors; on Team and Enterprise plans an owner adds it under Organization settings → Connectors) with this server URL: https://www.vectorpanda.com/mcp
Cursor or Cline: add to your MCP config:
{
"mcpServers": {
"vector_panda_documentation": {
"url": "https://www.vectorpanda.com/mcp",
"transport": "streamable-http"
}
}
}