girishpandit88/ai-newsroom-mcp-server
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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