ai-newsroom-mcp-server

girishpandit88/ai-newsroom-mcp-server

3.2

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The Newsroom MCP Server is a deterministic Model Context Protocol server designed to simulate a local newsroom workflow, enabling article ingestion, entity analysis, fact checking, ranking, and digest delivery without relying on third-party APIs.

Tools

Functions exposed to the LLM to take actions

fetch_articles

Fetches articles from a specified source.

extract_passages

Extracts passages from articles.

extract_entities

Extracts entities from passages.

disambiguate_entities

Disambiguates extracted entities.

tag_entities

Tags resolved entities.

classify_topic

Classifies the topic of passages.

analyze_sentiment

Analyzes sentiment of passages.

summarize_tags

Summarizes tagged entities and passages.

fact_check

Performs fact-checking on claims.

rank_stories

Ranks stories based on user profile and summaries.

compile_digest

Compiles a digest in a specified format.

deliver_digest

Delivers the compiled digest to a specified channel.

Prompts

Interactive templates invoked by user choice

No prompts

Resources

Contextual data attached and managed by the client

No resources