Web Search MCP Server
Servidor MCP de búsqueda web
Un servidor de Protocolo de Contexto de Modelo (MCP) que permite la búsqueda web gratuita utilizando los resultados de búsqueda de Google, sin necesidad de claves API.
Características
Busque en la web utilizando los resultados de búsqueda de Google
No se requieren claves API ni autenticación
Devuelve resultados estructurados con títulos, URL y descripciones.
Número configurable de resultados por búsqueda
Related MCP server: search-mcp
Instalación
Clonar o descargar este repositorio
Instalar dependencias:
npm installConstruir el servidor:
npm run buildAgregue el servidor a su configuración de MCP:
Para VSCode (extensión de Claude Dev):
{
"mcpServers": {
"web-search": {
"command": "node",
"args": ["/path/to/web-search/build/index.js"]
}
}
}Para Claude Desktop:
{
"mcpServers": {
"web-search": {
"command": "node",
"args": ["/path/to/web-search/build/index.js"]
}
}
}Uso
El servidor proporciona una única herramienta llamada search que acepta los siguientes parámetros:
{
"query": string, // The search query
"limit": number // Optional: Number of results to return (default: 5, max: 10)
}Ejemplo de uso:
use_mcp_tool({
server_name: "web-search",
tool_name: "search",
arguments: {
query: "your search query",
limit: 3 // optional
}
})Ejemplo de respuesta:
[
{
"title": "Example Search Result",
"url": "https://example.com",
"description": "Description of the search result..."
}
]Limitaciones
Dado que esta herramienta utiliza el raspado web de los resultados de búsqueda de Google, hay algunas limitaciones importantes que se deben tener en cuenta:
Limitación de frecuencia : Google podría bloquear temporalmente las solicitudes si se realizan demasiadas búsquedas en poco tiempo. Para evitarlo:
Mantenga las búsquedas a una frecuencia razonable
Utilice el parámetro límite con prudencia
Considere implementar retrasos entre búsquedas si es necesario
Precisión del resultado :
La herramienta se basa en la estructura HTML de Google, que puede cambiar.
Es posible que a algunos resultados les falten descripciones u otros metadatos.
Es posible que los operadores de búsqueda complejos no funcionen como se espera
Consideraciones legales :
Esta herramienta está destinada para uso personal.
Respete las condiciones de servicio de Google
Considere implementar una limitación de velocidad adecuada para su caso de uso
Contribuyendo
¡No dudes en enviarnos problemas y solicitudes de mejora!
Available Tools
1 toolsearchC
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) |
TDQS
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.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections. Dates show when Glama detected each change.
1 tool update
- First observed
search
TDQS
With 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.
Maintenance
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