MCP server

Vector Panda Documentation Official

com.vectorpanda/docs

Checked 25 Oct 2026, 20:29 UTC · Connected to it and listed its tools

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

Website

At a glance

Type

MCP server

Publisher

vectorpanda.com (verified by the MCP Registry)

Status

Working at last check

Tools

8

Token cost

About 772 tokens per request

Sets up in

Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok

Last checked

25 Oct 2026, 20:29 UTC

Connect it to your agent

Add to CursorAdd to VS CodeVS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

claude mcp add --transport http docs https://www.vectorpanda.com/mcp

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.docs]
url = "https://www.vectorpanda.com/mcp"

Gemini CLI

{"mcpServers":{"docs":{"httpUrl":"https://www.vectorpanda.com/mcp"}}}

Cursor

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

VS Code

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

Antigravity

agy mcp add docs https://www.vectorpanda.com/mcp

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"docs","server_url":"https://www.vectorpanda.com/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"docs","server_url":"https://www.vectorpanda.com/mcp"}

Tools

• compare_storage_tiers ~78 tokens
  Hot, warm, and paused storage tiers: current per-GB prices with what each tier means for query latency and when to pick it.
• get_api_operation ~132 tokens
  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_benchmark_methodology ~84 tokens
  Measured benchmark results and full reproduction methodology (VectorDBBench through the public API), including dataset, recall, and cost.
• get_pricing ~75 tokens
  Current storage-tier pricing, monthly usage credits, and billing cycle. Storage-only pricing: no per-query or egress fees.
• get_quickstart ~73 tokens
  The Vector Panda quickstart: install the veep Python SDK, upload a file, and run similarity queries end to end.
• list_supported_formats ~66 tokens
  File formats accepted for vector ingestion, from the canonical features page.
• read_doc ~120 tokens
  Fetch the full Markdown of one document by its site path (for example /docs/concepts/embeddings-101), as returned by search_docs.
• search_docs ~144 tokens
  Full-text search across Vector Panda concepts, tutorials, projects, and the engineering build log. Returns ranked matches with canonical URLs and freshness.

Browse

• OpenAPI tools
• Converting to Markdown
• APIs and testing
• Searching your documents (RAG)

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