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eluc1a

MCP News Server

by eluc1a

noticias-mcp Servidor MCP

servidor de noticias mcp

Componentes

Recursos

El servidor expone artículos de noticias almacenados en una base de datos a través de un URI de recurso:

  • news://{category}/{limit} : recupera una lista de los últimos artículos para una categoría determinada.

    • {category} : Filtra artículos por categoría (p. ej., tech , data_science , news ). Consulta la descripción de la herramienta para ver la lista completa.

    • {limit} (opcional, predeterminado 10): especifica el número máximo de artículos a devolver.

  • Cada artículo devuelto incluye título, enlace, fecha de publicación y fuente.

Indicaciones

Actualmente, el servidor no muestra ningún mensaje. (La lógica de resumen existe internamente, pero no está disponible a través de un mensaje de MCP).

Herramientas

El servidor implementa una herramienta:

  • summarize_news : recupera artículos de noticias sin procesar de la base de datos, lo que permite al cliente (LLM) resumirlos.

    • Toma argumentos opcionales category (cadena) y limit (entero, predeterminado 20).

    • Devuelve una lista de diccionarios de artículos, cada uno de los cuales contiene id , title , link , published , source y content .

    • Categorías disponibles: tech , data_science , llm_tools , cybersecurity , linux , audio_dsp , startups , news , science , research , policy .

Related MCP server: Juhe News MCP Server

Configuración

El servidor se basa en una base de datos PostgreSQL configurada a través de la variable de entorno DATABASE_URL (el valor predeterminado es postgresql://localhost/mcp_news ).

El script news_gatherer.py (destinado a ejecutarse por separado/programado) llena la base de datos a partir de varias fuentes RSS.

La lógica de resumen (interna, no expuesta a través de MCP) utiliza la API de OpenAI, configurada a través de la variable de entorno OPENAI_API_KEY .

Otras configuraciones (a través de variables de entorno o valores predeterminados):

  • LOOKBACK_HOURS : Hasta qué punto news_gatherer.py busca artículos nuevos (valor predeterminado: 6).

  • SUMMARY_WORD_TARGET : Cantidad de palabras objetivo para el resumen interno (predeterminado: 500).

  • MAX_ARTICLES_PER_SUMMARY : Máximo de artículos incluidos en un lote de resumen (predeterminado: 25).

  • KEYWORD_FILTER : Palabras clave utilizadas por la lógica de resumen interna.

Inicio rápido

Instalar

Escritorio de Claude

En MacOS: ~/Library/Application\ Support/Claude/claude_desktop_config.json En Windows: %APPDATA%/Claude/claude_desktop_config.json

Desarrollo

Construcción y publicación

Para preparar el paquete para su distribución:

  1. Sincronizar dependencias y actualizar archivo de bloqueo:

uv sync
  1. Distribuciones de paquetes de compilación:

uv build

Esto creará distribuciones de origen y de rueda en el directorio dist/ .

  1. Publicar en PyPI:

uv publish

Nota: Deberás configurar las credenciales de PyPI a través de variables de entorno o indicadores de comando:

  • Token: --token o UV_PUBLISH_TOKEN

  • O nombre de usuario/contraseña: --username / UV_PUBLISH_USERNAME y --password / UV_PUBLISH_PASSWORD

Depuración

Dado que los servidores MCP se ejecutan en stdio, la depuración puede ser complicada. Para una experiencia óptima, recomendamos usar el Inspector MCP .

Puede iniciar el Inspector MCP a través de npm con este comando:

npx @modelcontextprotocol/inspector uv --directory ~/dev/news-mcp run news-mcp 

Al iniciarse, el Inspector mostrará una URL a la que podrá acceder en su navegador para comenzar a depurar.

Available Tools

1 tool
add-noteC

Add a new note

ParametersJSON Schema
NameRequiredDescriptionDefault
nameYes
contentYes

TDQS

C2.8/5.0
Behavior2/5

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 only says 'Add a new note' and provides no details on side effects, permissions, return values, or error behavior.

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

Conciseness4/5

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

The description is a single short sentence with no wasted words, making it concise and front-loaded. However, it is under-specified for the tool's complexity, though this is largely a completeness issue rather than a conciseness issue.

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 lack of annotations, output schema, and parameter descriptions, a five-word description is insufficient for an agent to invoke the tool correctly. The meaning of the parameters and expected return behavior remain ambiguous.

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

Parameters1/5

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

The input schema has zero description coverage for the two required parameters ('name' and 'content'), and the description does not explain their meaning or format. The agent cannot infer what 'name' or 'content' represent.

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

Purpose5/5

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

The description uses a specific verb ('Add') and a specific resource ('note'), clearly stating the tool's function. It differentiates itself from the sibling 'get_report', which is a read operation.

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?

No guidance is provided on when to use this tool versus alternatives. The description only states the action without any context about when to invoke it or when to choose a sibling tool.

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. 1 tool update
    • First observedadd-note

TDQS

C2.7/5.0

Scored across 1 tool

Disambiguation5/5

With only one tool, there is no possibility of confusion or overlap between tools. The single tool 'add-note' has a clear and distinct purpose that cannot be mistaken for any other tool in the set.

Naming Consistency5/5

The single tool name 'add-note' follows a consistent verb-noun pattern, and with only one tool, there is no inconsistency to evaluate. The naming is straightforward and predictable.

Tool Count2/5

A single tool is too few for a server named 'MCP News Server', which implies a broader scope related to news. This minimal toolset suggests an incomplete or trivial implementation that does not adequately cover the expected domain.

Completeness1/5

The tool surface is severely incomplete for a news server. It only allows adding notes, with no tools for retrieving, updating, deleting, or searching news items, nor any functionality specific to news like fetching headlines or articles. This leaves significant gaps that will cause agent failures.

Maintenance

ActivityInactive
ResponsivenessNo issues

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