Vector Panda Documentation
Search and read Vector Panda docs: API operations, pricing, storage tiers, measured benchmarks.
What it can do
What data it sees
Do you need an account
No: the server works without sign-in
Search and read Vector Panda docs: API operations, pricing, storage tiers, measured benchmarks.
How to connect
How to connect Vector Panda Documentation to Claude
The server address to paste into Claude settings:
https://www.vectorpanda.com/mcp
- Open Claude (claude.ai or the desktop app).
- Go to Settings → Connectors.
- Click Add custom connector.
- Paste the server address copied below into Remote MCP server URL and click Add.
- In a chat, click + → Connectors and switch the new connector on.
Custom connectors are available on Free, Pro, Max, Team and Enterprise plans (Free is limited to one). On Team and Enterprise an organization Owner adds the connector first under Organization settings → Connectors.
Authorization
After you click Add, a sign-in window for the service opens. Sign in with your own account and approve access. Claude never sees your password.
How to connect Vector Panda Documentation to ChatGPT
The server address to paste into ChatGPT settings:
https://www.vectorpanda.com/mcp
- Open ChatGPT in a browser (chatgpt.com). A Plus, Pro, Business, Enterprise or Edu plan is required.
- Turn on developer mode once: Settings → Apps → Advanced settings → Developer mode.
- Open Settings → Connectors and click Create.
- Fill in the form: Name (anything), Description (one line about what the service does), MCP server URL (copy it below).
- Under Authentication choose OAuth if the service requires sign-in, otherwise None. Click Create.
- In a new chat open + → Apps/Connectors and enable the connector.
OpenAI has renamed this section before (Connectors → Apps/Plugins). If the label differs, search settings for "developer mode". On Business/Enterprise workspaces an admin must allow custom connectors first.
Authorization
On first use ChatGPT opens the service's sign-in window. Sign in and approve access.
How to connect Vector Panda Documentation to Cursor
The server address to paste into Cursor settings:
https://www.vectorpanda.com/mcp
Fastest: click Open in Cursor below and confirm the prompt.
Manually:
- In Cursor open Settings → Cursor Settings → MCP and click Add new global MCP server.
- Paste the JSON copied below into
~/.cursor/mcp.json(per project:.cursor/mcp.jsonin the repo root). - Save the file. The server appears in the MCP list; authorize it there if asked.
Authorization
If the service needs sign-in, an authorize button appears next to the server in the MCP list.
Server tool list (8)
Raw names from tools/list. Only developers need these.
| search_docs | Full-text search across Vector Panda concepts, tutorials, projects, and the engineering build log. Returns ranked matches with canonical URLs and freshness. |
| 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_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. |
| get_pricing | Current storage-tier pricing, monthly usage credits, and billing cycle. Storage-only pricing: no per-query or egress fees. |
| 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. |