Vector Panda Documentation
Search and read Vector Panda docs: API operations, pricing, storage tiers, measured benchmarks.
Should I use this
Quality & Safety
Based on automated analysis of tool definitions and protocol compliance.
Context Cost
This is the approximate number of tokens consumed each time the server's tools are loaded into a model's context. Higher counts reduce the attention available for other tasks.
Install
One-Click Install
Add this to your `claude_desktop_config.json` file:
{
"mcpServers": {
"docs": {
"url": "https://www.vectorpanda.com/mcp"
}
}
}Remote endpoints
https://www.vectorpanda.com/mcpstreamable-httpWhat it can do
Tool inventory
Tools (8)
🟢search_docs(query, limit)
Full-text search across Vector Panda concepts, tutorials, projects, and the engineering build log. Returns ranked matches with canonical URLs and freshness.
Input Schema
{
"type": "object",
"properties": {
"query": {
"type": "string",
"description": "Search terms"
},
"limit": {
"type": "integer",
"minimum": 1,
"maximum": 20,
"description": "Maximum results (default 5, cap 20)"
}
},
"required": [
"query"
],
"additionalProperties": false,
"$schema": "http://json-schema.org/draft-07/schema#"
}🟢read_doc(path)
Fetch the full Markdown of one document by its site path (for example /docs/concepts/embeddings-101), as returned by search_docs.
Input Schema
{
"type": "object",
"properties": {
"path": {
"type": "string",
"description": "Site path of the document, e.g. /docs/tutorials/filter-syntax"
}
},
"required": [
"path"
],
"additionalProperties": false,
"$schema": "http://json-schema.org/draft-07/schema#"
}🟢get_quickstart
The Vector Panda quickstart: install the veep Python SDK, upload a file, and run similarity queries end to end.
Input Schema
{
"type": "object",
"properties": {},
"$schema": "http://json-schema.org/draft-07/schema#"
}🟢get_api_operation(operation)
List public REST API operations, or pass one (e.g. "POST /api/v1/query") for its parameters, request body, responses, and auth. Sourced from the published OpenAPI spec.
Input Schema
{
"type": "object",
"properties": {
"operation": {
"type": "string",
"description": "Operation key like \"POST /api/v1/query\"; omit to list all operations"
}
},
"additionalProperties": false,
"$schema": "http://json-schema.org/draft-07/schema#"
}🟢get_pricing
Current storage-tier pricing, monthly usage credits, and billing cycle. Storage-only pricing: no per-query or egress fees.
Input Schema
{
"type": "object",
"properties": {},
"$schema": "http://json-schema.org/draft-07/schema#"
}🟢get_benchmark_methodology
Measured benchmark results and full reproduction methodology (VectorDBBench through the public API), including dataset, recall, and cost.
Input Schema
{
"type": "object",
"properties": {},
"$schema": "http://json-schema.org/draft-07/schema#"
}🟢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.
Input Schema
{
"type": "object",
"properties": {},
"$schema": "http://json-schema.org/draft-07/schema#"
}🟢list_supported_formats
File formats accepted for vector ingestion, from the canonical features page.
Input Schema
{
"type": "object",
"properties": {},
"$schema": "http://json-schema.org/draft-07/schema#"
}Community
Evidence