API キーを必要とせず、Google 検索結果を使用して無料の Web 検索を可能にする Model Context Protocol (MCP) サーバー。
Google検索結果を使用してウェブを検索する
APIキーや認証は不要
タイトル、URL、説明を含む構造化された結果を返します
検索ごとに設定可能な結果数
Related MCP server: search-mcp
このリポジトリをクローンまたはダウンロードする
依存関係をインストールします:
npm installサーバーを構築します。
npm run buildサーバーを MCP 構成に追加します。
VSCode (Claude Dev Extension) の場合:
{
"mcpServers": {
"web-search": {
"command": "node",
"args": ["/path/to/web-search/build/index.js"]
}
}
}Claude Desktopの場合:
{
"mcpServers": {
"web-search": {
"command": "node",
"args": ["/path/to/web-search/build/index.js"]
}
}
}サーバーは、次のパラメータを受け入れるsearchという名前の単一のツールを提供します。
{
"query": string, // The search query
"limit": number // Optional: Number of results to return (default: 5, max: 10)
}使用例:
use_mcp_tool({
server_name: "web-search",
tool_name: "search",
arguments: {
query: "your search query",
limit: 3 // optional
}
})応答例:
[
{
"title": "Example Search Result",
"url": "https://example.com",
"description": "Description of the search result..."
}
]このツールは Google 検索結果の Web スクレイピングを使用するため、注意すべき重要な制限がいくつかあります。
レート制限：短時間に検索が多すぎる場合、Google はリクエストを一時的にブロックすることがあります。これを回避するには、次の手順を実行してください。
検索頻度を適度に保つ
制限パラメータを慎重に使用する
必要に応じて検索間に遅延を設けることを検討してください
結果の精度:
このツールはGoogleのHTML構造に依存しており、変更される可能性があります。
一部の結果には説明やその他のメタデータが欠落している可能性があります
複雑な検索演算子は期待通りに動作しない可能性があります
法的考慮事項:
このツールは個人使用を目的としています
Googleの利用規約を尊重する
ユースケースに応じて適切なレート制限を実装することを検討してください
問題や機能強化のリクエストをお気軽にお寄せください。
Search the web using Google (no API key required)
| Name | Required | Description | Default |
|---|---|---|---|
| query | Yes | Search query | |
| limit | No | Maximum number of results to return (default: 5) |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden of behavioral disclosure. It mentions 'no API key required,' which adds some context about authentication, but fails to describe other critical behaviors such as rate limits, response format, error handling, or any constraints beyond the input schema. This leaves significant gaps for an agent to understand how the tool behaves.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is extremely concise and front-loaded, consisting of a single sentence that directly states the tool's function and a key feature ('no API key required'). There is no wasted language, making it efficient and easy to parse for an agent.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's complexity as a web search function with no annotations and no output schema, the description is incomplete. It lacks details on behavioral traits, response format, and operational constraints, which are crucial for an agent to use the tool effectively. The high schema coverage helps with inputs, but overall context is insufficient.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema has 100% description coverage, clearly documenting both parameters ('query' and 'limit') with details like default values and constraints. The description does not add any additional meaning beyond what the schema provides, so it meets the baseline score of 3 for high schema coverage without compensating with extra insights.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool's purpose with specific verb ('search') and resource ('the web using Google'), making it immediately understandable. However, since there are no sibling tools mentioned, it cannot demonstrate differentiation from alternatives, which prevents a perfect score.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides minimal guidance by mentioning 'no API key required,' which implies ease of use but lacks explicit instructions on when to use this tool versus alternatives or any context about limitations. No sibling tools exist, so no comparison is possible, but the description still lacks usage context.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Recent tool additions, removals, and schema changes observed during successful MCP inspections. Dates show when Glama detected each change.
searchWith only one tool, there is no possibility of ambiguity or overlap between tools. The tool's purpose is singular and clear, so an agent cannot misselect between multiple options.
A single tool inherently has perfect naming consistency, as there are no other tools to compare it against for patterns. The name 'search' is straightforward and appropriate for its function.
One tool is too few for a server named 'Web Search MCP Server', which suggests a broader scope like searching, filtering, or managing search results. A single search tool feels thin and limits functionality, making it borderline inappropriate for the implied domain.
The tool surface is severely incomplete for web search functionality. It only provides a basic search tool, missing obvious operations like filtering results, getting details, saving searches, or handling pagination, which are common in search domains and could lead to agent failures in complex tasks.
Unclaimed servers have limited discoverability.
If you are the server author, to access and configure the admin panel.
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curl -X GET 'https://glama.ai/api/mcp/v1/servers/williamvd4/web-search'
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