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MCP News Server

by eluc1a

news-mcp MCP server

mcp news server

IMPORTANT

  • Do not begin coding unless the user asks you to. If the user is asking a question about the code, answer the question - do not write or modify code unless explicitly asked.

Related MCP server: Juhe News MCP Server

Components

Resources

The server exposes news articles stored in a database via a resource URI:

  • news://{category}/{limit}: Retrieves a list of the latest articles for a given category.

    • {category}: Filters articles by category (e.g., tech, data_science, news). See tool description for full list.

    • {limit} (optional, default 10): Specifies the maximum number of articles to return.

  • Each returned article includes title, link, published date, and source.

Prompts

The server currently does not expose any prompts. (The summarization logic exists internally but is not available via an MCP prompt).

Tools

The server implements one tool:

  • summarize_news: Retrieves raw news articles from the database, allowing the client (LLM) to summarize them.

    • Takes optional category (string) and limit (integer, default 20) arguments.

    • Returns a list of article dictionaries, each containing id, title, link, published, source, and content.

    • Available categories: tech, data_science, llm_tools, cybersecurity, linux, audio_dsp, startups, news, science, research, policy.

Configuration

The server relies on a PostgreSQL database configured via the DATABASE_URL environment variable (defaults to postgresql://localhost/mcp_news).

The news_gatherer.py script (intended to be run separately/scheduled) populates the database from various RSS feeds.

Summarization logic (internal, not exposed via MCP) uses the OpenAI API, configured via the OPENAI_API_KEY environment variable.

Other configurations (via environment variables or defaults):

  • LOOKBACK_HOURS: How far back news_gatherer.py looks for new articles (default: 6).

  • SUMMARY_WORD_TARGET: Target word count for internal summarization (default: 500).

  • MAX_ARTICLES_PER_SUMMARY: Maximum articles included in one summary batch (default: 25).

  • KEYWORD_FILTER: Keywords used by internal summarization logic.

Quickstart

Install

Claude Desktop

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

Development

Building and Publishing

To prepare the package for distribution:

  1. Sync dependencies and update lockfile:

uv sync
  1. Build package distributions:

uv build

This will create source and wheel distributions in the dist/ directory.

  1. Publish to PyPI:

uv publish

Note: You'll need to set PyPI credentials via environment variables or command flags:

  • Token: --token or UV_PUBLISH_TOKEN

  • Or username/password: --username/UV_PUBLISH_USERNAME and --password/UV_PUBLISH_PASSWORD

Debugging

Since MCP servers run over stdio, debugging can be challenging. For the best debugging experience, we strongly recommend using the MCP Inspector.

You can launch the MCP Inspector via npm with this command:

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

Upon launching, the Inspector will display a URL that you can access in your browser to begin debugging.

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

ActivityStale
ResponsivenessNo issues

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