INDIVIDUAL MCP TOOL

get_api_operation

List public REST API operations, or pass one (e.

vectorpanda.comnone authenticationAvailability not checked

LIVE ENDPOINT

https://www.vectorpanda.com/mcp

No auth detected

Connect to this endpoint to inspect the live schema for get_api_operation and invoke it with your own arguments.

{}

Inferred read-only · medium confidence · heuristic, not a guarantee.

No write-capable action terms were found; this is not proof that invocation has no side effects.

CONNECT WITH APPROVAL

Review this server and its permissions before adding it. Secret placeholders must be set locally.

Codex

~/.codex/config.toml

[mcp_servers.vector-panda-docs]
url = "https://www.vectorpanda.com/mcp"
enabled = true

Claude Code

.mcp.json

{
  "mcpServers": {
    "vector-panda-docs": {
      "type": "http",
      "url": "https://www.vectorpanda.com/mcp"
    }
  }
}

Claude Desktop

Settings → Connectors → Add custom connector

Name: vector-panda-docs
Remote MCP URL: https://www.vectorpanda.com/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

Cursor

.cursor/mcp.json

{
  "mcpServers": {
    "vector-panda-docs": {
      "url": "https://www.vectorpanda.com/mcp"
    }
  }
}

Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code

{
  "servers": {
    "vector-panda-docs": {
      "type": "http",
      "url": "https://www.vectorpanda.com/mcp"
    }
  }
}

Generic MCP

Client-specific MCP configuration

{
  "name": "vector-panda-docs",
  "transport": "streamable-http",
  "url": "https://www.vectorpanda.com/mcp"
}

MCP Inspector

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

search_docs — Full-text search across Vector Panda concepts, tutorials, projects, and the engineering build log.
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_pricing — Current storage-tier pricing, monthly usage credits, and billing cycle.
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.