模型上下文协议 (MCP) 服务器可使用 Google 搜索结果进行免费网络搜索，无需 API 密钥。
使用 Google 搜索结果搜索网页
无需 API 密钥或身份验证
返回包含标题、URL 和描述的结构化结果
可配置每次搜索的结果数量
Related MCP server: search-mcp
克隆或下载此存储库
安装依赖项：
npm install构建服务器：
npm run build将服务器添加到您的 MCP 配置：
对于 VSCode（Claude Dev Extension）：
{
"mcpServers": {
"web-search": {
"command": "node",
"args": ["/path/to/web-search/build/index.js"]
}
}
}对于 Claude 桌面：
{
"mcpServers": {
"web-search": {
"command": "node",
"args": ["/path/to/web-search/build/index.js"]
}
}
}服务器提供了一个名为search的工具，它接受以下参数：
{
"query": string, // The search query
"limit": number // Optional: Number of results to return (default: 5, max: 10)
}使用示例：
use_mcp_tool({
server_name: "web-search",
tool_name: "search",
arguments: {
query: "your search query",
limit: 3 // optional
}
})响应示例：
[
{
"title": "Example Search Result",
"url": "https://example.com",
"description": "Description of the search result..."
}
]由于此工具使用 Google 搜索结果的网络抓取，因此需要注意一些重要的限制：
速率限制：如果短时间内执行的搜索次数过多，Google 可能会暂时阻止请求。为了避免这种情况：
保持合理的搜索频率
明智地使用限制参数
如果需要，考虑在搜索之间设置延迟
结果准确度：
该工具依赖于 Google 的 HTML 结构，该结构可能会发生变化
某些结果可能缺少描述或其他元数据
复杂的搜索运算符可能无法按预期工作
法律考虑：
此工具仅供个人使用
尊重 Google 的服务条款
考虑针对您的用例实施适当的速率限制
请随时提交问题和增强请求！
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.
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If you are the server author, to access and configure the admin panel.
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