Vector Panda Documentation MCP Server

by vectorpanda Your server? Claim it

answering

Vector Panda Documentation is answering right now. Last checked 3 min ago. It exposes 8 tools.

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

Uptime history 64 hours of history

64 hours agonow

100.0%

Uptime 24h

93 of 93 checks

Tools

read from the server

718 ms

Response time

average over 24h

open, no key

Access

streamable-http

Nothing serious here today

Today is the operative word: we check Vector Panda Documentation every 15 minutes and re-read its code on every release. Watch it and you find out the day that stops being true.

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 3 min ago.

Claude Code Claude Desktop Codex Cursor VS Code

run in your terminal

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

~/Library/Application Support/Claude/claude_desktop_config.json

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

~/.codex/config.toml

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

.cursor/mcp.json

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

.vscode/mcp.json

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

Available tools 8

Read directly from the server with tools/list, grouped by what they act on. If a tool disappears, we record the date.

api

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.

benchmark

get_benchmark_methodology

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

compare

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.

doc

read_doc

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

docs

search_docs

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

pricing

get_pricing

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

quickstart

get_quickstart

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

supported

list_supported_formats

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

Endpoints

URL	Transport	State	Latency	Checked
https://www.vectorpanda.com/mcp	streamable-http	answering	711 ms	3 min ago

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Vector Panda Documentation — questions

Answers built from our own checks of this server.

What can Vector Panda Documentation do?

It exposes 8 tools, read directly from the server on our last check. Among them: compare_storage_tiers, get_api_operation, get_benchmark_methodology, get_pricing, get_quickstart, list_supported_formats and 2 more. The full list with descriptions is on this page — we take it from the server itself via tools/list, not from a README. How MCP servers expose tools in the first place →

Is Vector Panda Documentation working right now?

We send a real MCP handshake every 15 minutes. Over the last 24 hours 93 of 93 checks got a reply (100.0%), average response time 718 ms. The bar chart above shows every period we have measured.

How do I connect Vector Panda Documentation?

Copy the ready config from this page — we generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each with the file path that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address.

Does Vector Panda Documentation need an API key?

No. Vector Panda Documentation completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 8 of them are readable on this page. This is what we observed, not what the docs claim.

How fast is Vector Panda Documentation?

It answers our handshake in 718 ms on average, which is faster than 18% of all working MCP servers we measure. That is on the slow side — worth knowing if the tool sits inside an interactive loop. The comparison comes from our own checks across the whole registry, every 15 minutes.