Index / MCP servers / Vector Panda Documentation

Vector Panda Documentation MCP server

Vector Panda Documentation is an MCP server with 8 tools an agent can call, among them compare_storage_tiers, get_api_operation, get_benchmark_methodology. It answers at https://www.vectorpanda.com/mcp over streamable HTTP, and it listed its tools to an anonymous client, so no sign-in was needed for that. Our probes reached it 6 of 6 times since 10 September 2026; the last check, on 19 October 2026, succeeded.

Status
Answering
Tools
8
Official
yes, served from vectorpanda.com
Reliability
6 of 6 checks
Response time
673 ms
Transport
streamable HTTP
Last checked
19 October 2026

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

Description as the publisher wrote it.

The 8 tools Vector Panda Documentation offers

ToolWhat it does
compare_storage_tiersHot, warm, and paused storage tiers: current per-GB prices with what each tier means for query latency and when to pick it.
get_api_operationList 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.
Inputs: operation
get_benchmark_methodologyMeasured benchmark results and full reproduction methodology (VectorDBBench through the public API), including dataset, recall, and cost.
get_pricingCurrent storage-tier pricing, monthly usage credits, and billing cycle. Storage-only pricing: no per-query or egress fees.
get_quickstartThe Vector Panda quickstart: install the veep Python SDK, upload a file, and run similarity queries end to end.
list_supported_formatsFile formats accepted for vector ingestion, from the canonical features page.
read_docFetch the full Markdown of one document by its site path (for example /docs/concepts/embeddings-101), as returned by search_docs.
Inputs: path
search_docsFull-text search across Vector Panda concepts, tutorials, projects, and the engineering build log. Returns ranked matches with canonical URLs and freshness.
Inputs: query, limit

Add Vector Panda Documentation to your AI client

Every block below points at https://www.vectorpanda.com/mcp. Pick your client and copy.

Claude Code: one command in your terminal
claude mcp add --transport http vector-panda-documentation https://www.vectorpanda.com/mcp
Claude Desktop: claude_desktop_config.json
{
  "mcpServers": {
    "vector-panda-documentation": {
      "command": "npx",
      "args": ["-y", "mcp-remote", "https://www.vectorpanda.com/mcp"]
    }
  }
}
Cursor: ~/.cursor/mcp.json, or .cursor/mcp.json in a project
{
  "mcpServers": {
    "vector-panda-documentation": {
      "url": "https://www.vectorpanda.com/mcp"
    }
  }
}
VS Code and GitHub Copilot: .vscode/mcp.json
{
  "servers": {
    "vector-panda-documentation": {
      "type": "http",
      "url": "https://www.vectorpanda.com/mcp"
    }
  }
}
Zed: Zed settings.json
{
  "context_servers": {
    "vector-panda-documentation": {
      "url": "https://www.vectorpanda.com/mcp"
    }
  }
}
Windsurf: ~/.codeium/mcp_config.json
{
  "mcpServers": {
    "vector-panda-documentation": {
      "serverUrl": "https://www.vectorpanda.com/mcp"
    }
  }
}
JetBrains AI Assistant: Settings, Tools, AI Assistant, MCP, New MCP Server, as JSON
{
  "mcpServers": {
    "vector-panda-documentation": {
      "url": "https://www.vectorpanda.com/mcp"
    }
  }
}
Continue: .continue/mcpServers/neuronto.yaml
name: Vector Panda Documentation
version: 0.0.1
schema: v1
mcpServers:
  - name: Vector Panda Documentation
    type: streamable-http
    url: https://www.vectorpanda.com/mcp
Gemini CLI: ~/.gemini/settings.json
{
  "mcpServers": {
    "vector-panda-documentation": {
      "httpUrl": "https://www.vectorpanda.com/mcp"
    }
  }
}
Codex CLI: MCP server config
{
  "mcpServers": {
    "vector-panda-documentation": {
      "type": "http",
      "url": "https://www.vectorpanda.com/mcp"
    }
  }
}
Warp: MCP servers, + Add, paste JSON
{
  "mcpServers": {
    "vector-panda-documentation": {
      "url": "https://www.vectorpanda.com/mcp"
    }
  }
}
Goose: a one-click extension link
goose://extension?url=https%3A%2F%2Fwww.vectorpanda.com%2Fmcp&type=streamable_http&id=vector-panda-documentation&name=Vector%20Panda%20Documentation

Is Vector Panda Documentation up right now?

It answered our last check on 19 October 2026 in 673 ms. Over 6 checks since 10 September 2026 it answered 6. Status here comes from Neuronto's own probes, not from the publisher.

MCP servers similar to Vector Panda Documentation

Questions about Vector Panda Documentation

Is there an official Vector Panda Documentation MCP server?

Yes. It is published by vectorpanda.com and served from www.vectorpanda.com, the vendor's own domain: https://www.vectorpanda.com/mcp.

How many tools does Vector Panda Documentation have?

8, as returned by the server's own tools/list on 11 September 2026: compare_storage_tiers, get_api_operation, get_benchmark_methodology, get_pricing, get_quickstart, list_supported_formats, read_doc, search_docs.

Is Vector Panda Documentation down?

It answered our last check on 19 October 2026 in 673 ms. Over 6 checks since 10 September 2026 it answered 6.

How do I add Vector Panda Documentation to Cursor?

Put the server under mcpServers in ~/.cursor/mcp.json with the URL https://www.vectorpanda.com/mcp. The exact JSON is above, with the same setup for Claude Code, Claude Desktop, VS Code, Windsurf, Zed, Gemini CLI and the rest.

Does Vector Panda Documentation need an API key?

It listed its tools to an anonymous client, so reading the tool list needs no key. Individual tools can still ask for credentials in their own inputs.

Where this comes from

Publisher: com.vectorpanda. Endpoint host: www.vectorpanda.com. ARD identifier: urn:air:com.vectorpanda:mcp:docs. First indexed 10 September 2026. The tools are exactly what the server returned; nothing on this page is inferred from its name. Ranking in Neuronto search is never for sale.

Is this your server? Get a message the day it stops answering or its tools change: monitoring, 14 days free. Or claim the domain to manage how it is listed.