The Freshcontext MCP server,
connected in one click.

“Use “evaluate_context”: Evaluate caller-provided candidate context and return decision-ready output. This is the primary FreshContext judgment path: it does not fet.”

“Use “extract_github”: Extract real-time data from a GitHub repository — README, stars, forks, last commit, topics. Returns timestamped freshcontext.”

“Use “extract_hackernews”: Extract top stories or search results from Hacker News. The url field accepts an HN/Algolia URL or a plain search query.”

“Use “extract_scholar”: Extract research results (title, authors, year, snippet) from a Google Scholar search URL. Scholar exposes only the publication year, not an.”

evaluate_context — Evaluate caller-provided candidate context and return decision-ready output. This is the primary FreshContext judgment path: it does not fet

extract_github — Extract real-time data from a GitHub repository — README, stars, forks, last commit, topics. Returns timestamped freshcontext.

extract_hackernews — Extract top stories or search results from Hacker News. The url field accepts an HN/Algolia URL or a plain search query.

extract_scholar — Extract research results (title, authors, year, snippet) from a Google Scholar search URL. Scholar exposes only the publication year, not an

extract_yc — Scrape YC company listings from a ycombinator.com/companies search URL. Returns name, batch, status, tags, and description per company. Fres

search_repos — Search GitHub for repositories matching a keyword. Returns top results by stars.

package_trends — npm and PyPI package metadata — version history, release cadence, last updated.

extract_reddit — Extract recent posts from a subreddit (e.g. 'r/MachineLearning') or a Reddit search/listing URL. Returns title, subreddit, author, score, co