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Cognitive-Stack

Search Stock News MCP Server

by Cognitive-Stack
OverviewSchemaSourceRelated ServersDiscussionsAdmin
TypeScript
Remote

🔌 ¡ Compatible con Cline, Cursor, Claude Desktop y cualquier otro cliente MCP!

Buscar noticias de acciones MCP funciona a la perfección con cualquier cliente MCP

El Protocolo de Contexto de Modelo (MCP) es un estándar abierto que permite que los sistemas de IA interactúen sin problemas con diversas fuentes de datos y herramientas, lo que facilita conexiones bidireccionales seguras.

El servidor de búsqueda de noticias bursátiles MCP proporciona:

  • Capacidades de búsqueda de noticias bursátiles en tiempo real a través de la API de Tavily

  • Varias plantillas de consultas de búsqueda personalizables

  • Parámetros de búsqueda y filtrado configurables

  • Filtrado de contenido específico del dominio

  • Operaciones de tipos seguros con TypeScript

Prerrequisitos 🔧

Antes de comenzar, asegúrese de tener:

  • Clave API de Tavily

  • Claude Desktop, Cursor o cualquier cliente compatible con MCP

  • Node.js (v16 o superior)

  • Git instalado (solo es necesario si se utiliza el método de instalación Git)

Related MCP server: Tavily News Search MCP Server

Buscar Noticias de Stock Instalación del Servidor MCP ⚡

Corriendo con NPX

npx -y search-stock-news-mcp@latest

Instalación mediante herrería

Para instalar Search Stock News MCP Server para Claude Desktop automáticamente a través de Smithery:

npx -y @smithery/cli install search-stock-news-mcp --client claude

Configuración de clientes MCP ⚙️

Configurando Cline 🤖

La forma más sencilla de configurar el servidor Search Stock News MCP en Cline es a través del mercado:

  1. Abrir Cline en VS Code

  2. Haga clic en el icono de Cline en la barra lateral

  3. Vaya a la pestaña "Servidores MCP"

  4. Busque "Buscar noticias bursátiles" y haga clic en "Instalar".

  5. Cuando se le solicite, ingrese su clave API de Tavily

Alternativamente, configure manualmente el servidor en Cline:

  1. Abra el archivo de configuración de Cline MCP:

# For macOS:
code ~/Library/Application\ Support/Code/User/globalStorage/saoudrizwan.claude-dev/settings/cline_mcp_settings.json

# For Windows:
code %APPDATA%\Code\User\globalStorage\saoudrizwan.claude-dev\settings\cline_mcp_settings.json

  1. Agregue la configuración del servidor de búsqueda de noticias bursátiles:

{
  "mcpServers": {
    "search-stock-news-mcp": {
      "command": "npx",
      "args": ["-y", "search-stock-news-mcp@latest"],
      "env": {
        "TAVILY_API_KEY": "your-api-key-here"
      },
      "disabled": false,
      "autoApprove": []
    }
  }
}

Configurando el cursor 🖥️

Para configurar el servidor de búsqueda de noticias bursátiles MCP en Cursor:

  1. Abrir configuración del cursor

  2. Vaya a Características > Servidores MCP

  3. Haga clic en el botón "+ Agregar nuevo servidor MCP"

  4. Complete la siguiente información:

    • Nombre : "search-stock-news-mcp"

    • Tipo : "comando"

    • Comando : GXP5

Configurando Claude Desktop 🖥️

Para macOS:

touch "$HOME/Library/Application Support/Claude/claude_desktop_config.json"
open -e "$HOME/Library/Application Support/Claude/claude_desktop_config.json"

Para Windows:

code %APPDATA%\Claude\claude_desktop_config.json

Agregue la configuración del servidor:

{
  "mcpServers": {
    "search-stock-news-mcp": {
      "command": "npx",
      "args": ["-y", "search-stock-news-mcp@latest"],
      "env": {
        "TAVILY_API_KEY": "your-api-key-here"
      }
    }
  }
}

Ejemplos de uso 🎯

  1. Búsqueda básica de noticias bursátiles :

{
  "symbol": "AAPL",
  "companyName": "Apple Inc.",
  "maxResults": 10
}

  1. Búsqueda avanzada con filtros :

{
  "symbol": "TSLA",
  "companyName": "Tesla Inc.",
  "maxResults": 20,
  "searchDepth": "advanced",
  "minScore": 0.6
}

  1. Búsqueda de dominio personalizada :

{
  "symbol": "MSFT",
  "companyName": "Microsoft Corporation",
  "includeDomains": ["reuters.com", "bloomberg.com"]
}

Solución de problemas 🛠️

Problemas comunes

  1. Servidor no encontrado

    • Verificar la instalación de npm

    • Comprobar la sintaxis de configuración

    • Asegúrese de que Node.js esté instalado correctamente

  2. Problemas con la clave API

    • Verifique que su clave API de Tavily sea válida

    • Compruebe que la clave API esté configurada correctamente en la configuración

    • Asegúrese de que no haya espacios ni comillas alrededor de la clave API

  3. Problemas con los resultados de búsqueda

    • Compruebe que los parámetros de búsqueda estén dentro de rangos válidos

    • Verificar que los filtros de dominio estén formateados correctamente

    • Asegúrese de que el nombre y el símbolo de la empresa sean precisos

Agradecimientos ✨

  • Protocolo de contexto de modelo para la especificación MCP

  • Antrópico para Claude Desktop

  • Tavily para la API de búsqueda de noticias

Licencia

Instituto Tecnológico de Massachusetts (MIT)

Available Tools

2 tools
search-stock-newsC

Search for stock-related news using Tavily API

ParametersJSON Schema
NameRequiredDescriptionDefault
companyNameYesCompany name (e.g., Apple Inc.)
maxResultsNoMaximum number of results to return
minScoreNoMinimum relevance score threshold
searchDepthNoSearch depth level
symbolYesStock symbol (e.g., AAPL)

TDQS

C2.9/5.0
Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full burden of behavioral disclosure. It mentions the Tavily API but doesn't describe key behaviors such as rate limits, authentication needs, error handling, or what the search results include (e.g., headlines, summaries, sources). For a search tool with external API dependencies, this is a significant gap.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, efficient sentence with zero waste. It's front-loaded with the core purpose and includes the API name for context. Every word earns its place, making it highly concise and well-structured.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the complexity of a search tool with 5 parameters, no annotations, and no output schema, the description is incomplete. It doesn't explain what the tool returns (e.g., list of articles with fields), how results are ordered, or any behavioral traits like pagination or API constraints. For a tool with rich input schema but missing output and behavioral context, it should do more.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so the schema already documents all 5 parameters thoroughly. The description adds no additional parameter semantics beyond what's in the schema (e.g., no examples of how parameters interact or typical values). Baseline 3 is appropriate when the schema does the heavy lifting.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the verb ('Search') and resource ('stock-related news'), and specifies the API used ('Tavily API'). It distinguishes from the sibling 'general-search' by focusing on stock-related content, though it doesn't explicitly mention this differentiation. The purpose is specific and actionable.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides no guidance on when to use this tool versus alternatives like 'general-search', nor does it mention any prerequisites, exclusions, or contextual triggers. It simply states what the tool does without indicating appropriate scenarios or limitations.

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.

  1. 2 tool updatesv1.0.0
    • First observedgeneral-search
    • First observedsearch-stock-news
Deploy Server
One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

TDQS

B3.1/5.0

Scored across 2 tools

Disambiguation5/5

The two tools have clearly distinct purposes: 'general-search' is for broad web searches, while 'search-stock-news' is specifically for stock-related news. There is no overlap or ambiguity between them, making it easy for an agent to select the appropriate tool based on the query context.

Naming Consistency5/5

Both tool names follow a consistent verb_noun pattern with hyphens: 'general-search' and 'search-stock-news'. They use the same naming convention throughout, making the set predictable and readable without any deviations or mixed styles.

Tool Count2/5

With only two tools, the server feels under-scoped for a 'Search Stock News MCP Server'. While the tools cover general and stock-specific searches, the domain suggests potential for more operations like filtering, sorting, or retrieving detailed news, making the count too low for the apparent purpose.

Completeness2/5

The tool surface is significantly incomplete for a stock news server. It lacks essential operations such as filtering news by date, source, or stock ticker, retrieving trending news, or accessing detailed article content. This will likely cause agent failures when trying to perform comprehensive stock news analysis.

Maintenance

ActivityInactive
ResponsivenessNo issues

Resources

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