Vector Panda Documentation
Search and read Vector Panda docs: API operations, pricing, storage tiers, measured benchmarks.
Sollte ich dies verwenden
Qualität und Sicherheit
Basierend auf einer automatisierten Analyse der Tool-Definitionen und der Einhaltung des Protokolls.
Kontextkosten
Dies ist die ungefähre Anzahl der Tokens, die jedes Mal verbraucht werden, wenn die Tools des Servers in den Kontext eines Modells geladen werden. Höhere Werte verringern die Aufmerksamkeit, die für andere Aufgaben verfügbar ist.
Installieren
Installation mit einem Klick
Fügen Sie dies Ihrer Datei `claude_desktop_config.json` hinzu:
{
"mcpServers": {
"docs": {
"url": "https://www.vectorpanda.com/mcp"
}
}
}Remote-Endpunkte
https://www.vectorpanda.com/mcpstreamable-httpWas es kann
Tool-Inventar
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.
Eingabe-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,
"$schema": "http://json-schema.org/draft-07/schema#"
}🟢read_doc(path)
Fetch the full Markdown of one document by its site path (for example /docs/concepts/embeddings-101), as returned by search_docs.
Eingabe-Schema
{
"type": "object",
"properties": {
"path": {
"type": "string",
"description": "Site path of the document, e.g. /docs/tutorials/filter-syntax"
}
},
"required": [
"path"
],
"additionalProperties": false,
"$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.
Eingabe-Schema
{
"type": "object",
"properties": {},
"$schema": "http://json-schema.org/draft-07/schema#"
}🟢get_api_operation(operation)
List public REST API operations, or pass one (e.g. "POST /api/v1/query") for its parameters, request body, responses, and auth. Sourced from the published OpenAPI spec.
Eingabe-Schema
{
"type": "object",
"properties": {
"operation": {
"type": "string",
"description": "Operation key like \"POST /api/v1/query\"; omit to list all operations"
}
},
"additionalProperties": false,
"$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.
Eingabe-Schema
{
"type": "object",
"properties": {},
"$schema": "http://json-schema.org/draft-07/schema#"
}🟢get_benchmark_methodology
Measured benchmark results and full reproduction methodology (VectorDBBench through the public API), including dataset, recall, and cost.
Eingabe-Schema
{
"type": "object",
"properties": {},
"$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.
Eingabe-Schema
{
"type": "object",
"properties": {},
"$schema": "http://json-schema.org/draft-07/schema#"
}🟢list_supported_formats
File formats accepted for vector ingestion, from the canonical features page.
Eingabe-Schema
{
"type": "object",
"properties": {},
"$schema": "http://json-schema.org/draft-07/schema#"
}Community
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