Vector Panda Documentation

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

我該用這個嗎

品質與安全性

B
說明品質
95%
結構描述完整度
55%
命名品質
98%
汙染風險
100%
權限相符程度
100%
協定合規性
100%

根據工具定義與協定合規性的自動化分析。

上下文成本

~855Token(工具定義)
~444 B典型回應大小
中等的注意力影響(128k 上下文的 0.67%)

這是每次將伺服器的工具載入模型上下文時所消耗的約略 token 數量。數量越高,可用於其他工作的注意力就越少。

安裝

一鍵安裝

將以下內容加入你的 `claude_desktop_config.json` 檔案:

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

遠端端點

https://www.vectorpanda.com/mcpstreamable-http

它能做什麼

工具清單

工具(8)

🟢 唯讀🟡 寫入🔴 刪除⚪ 未知
🟢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.

輸入結構描述

{
  "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.

輸入結構描述

{
  "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.

輸入結構描述

{
  "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.

輸入結構描述

{
  "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.

輸入結構描述

{
  "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.

輸入結構描述

{
  "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.

輸入結構描述

{
  "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.

輸入結構描述

{
  "type": "object",
  "properties": {},
  "$schema": "http://json-schema.org/draft-07/schema#"
}

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已驗證未記錄版本8 個工具
已驗證未記錄版本8 個工具