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MCP-Bocha

by intounknown

mcp-ボチャ

Bocha API を使用して AI エージェントに Web 検索機能を提供するモデル コンテキスト プロトコル (MCP) サーバー。

導入

MCP-Bochaは、モデルコンテキストプロトコルを介してBocha AIのウェブ検索API機能を公開するツールです。AIアシスタントがプログラムでウェブを検索できるようにすることで、情報検索、調査、最新データの収集といったタスクが可能になります。

Related MCP server: SearXNG MCP Server

ツール

ツール名

説明

パラメータ

mcp-bocha_search

ウェブで情報を検索する

query : 検索クエリ文字列freshness : オプションの時間フィルター ["oneDay", "oneWeek", "oneMonth", "oneYear", "noLimit"] summary : 要約結果のブール値(オプション) include : 含めるドメインの配列(オプション) exclude : 除外するドメインの配列(オプション) count : 返す結果の数(オプション)

使用法

{
  "mcpServers": {
    "mcp-bocha": {
      "command": "npx",
      "args": ["-y", "@humansean/mcp-bocha"],
      "env": {
        "BOCHA_API_KEY": "YOUR_API_KEY"
      }
    }
  }
}

ライセンス

Apache 2.0 ライセンス

Available Tools

1 tool

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

  1. 1 tool updatev1.0.0
    • First observedmcp-bocha_search

TDQS

C2.5/5.0

Scored across 1 tool

Disambiguation5/5

With only one tool, there is no possibility of ambiguity or overlap between tools. The single tool 'mcp-bocha_search' has a clear and distinct purpose of searching the web for information, leaving no room for confusion or misselection.

Naming Consistency5/5

The naming is perfectly consistent as there is only one tool. It follows a clear verb_noun pattern ('search' as the verb and implied 'web' as the noun), and with no other tools to compare against, there is no inconsistency in naming conventions.

Tool Count2/5

A single tool is too few for most server purposes, as it typically feels thin and limits functionality. While a search tool can be useful, the server's scope appears narrow with only one operation, which may not cover the full domain of web search or related tasks adequately.

Completeness2/5

The tool surface is severely incomplete for a web search domain. It only provides a search function without any complementary tools for refining results, accessing cached pages, or handling different search types (e.g., images, news). This creates significant gaps that could lead to agent failures in more complex tasks.

Maintenance

ActivityInactive
ResponsivenessNo issues

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