MCP Server
TechSnif
com.techsnif/mcp
What this MCP does
Aggregates and ranks technology news stories, editorial articles, coverage links, social discussions, source leaderboards, trends, and industry events.
Capabilities
Tools
13
tools
get_article
Article detail
Get a full TechSnif editorial article by slug, including the complete body text.
Input schema
{'type': 'object', 'required': ['slug'], 'properties': {'slug': {'type': 'string', 'description': 'The article slug'}, 'brief': {'type': 'boolean', 'description': 'Show metadata and excerpt only, skip the full body'}}}
get_articles
TechSnif articles
List TechSnif editorial articles (original coverage written by TechSnif). Filter by category (AI, Startups, Venture, Robotics) or tag, and paginate with offset. Use get_article for the full body text.
Input schema
{'type': 'object', 'properties': {'tag': {'type': 'string', 'description': 'Filter by tag (e.g. "Security", "Fintech", "Open Source")'}, 'limit': {'type': 'number', 'default': 10, 'maximum': 50, 'minimum': 1, 'description': 'Number of articles to return (default 10, max 50)'}, 'offset': {'type': 'number', 'minimum': 0, 'description': 'Number of articles to skip (pagination)'}, 'category': {'type': 'string', 'description': 'Filter by category (e.g. "AI", "Startups", "Venture", "Robotics")'}}}
get_changes
Story changes
Get story cluster changes since a timestamp: newly appeared clusters and updates to existing ones, each with a change type, a change time, and a story summary. Poll this to stay in sync with the TechSnif feed without refetching everything; pass the returned nextCursor as the next "since" value.
Input schema
{'type': 'object', 'properties': {'limit': {'type': 'number', 'default': 50, 'maximum': 100, 'minimum': 1, 'description': 'Max changes to return (default 50, max 100)'}, 'since': {'type': 'string', 'description': 'ISO 8601 timestamp to read changes from (defaults to 24 hours ago)'}}}
get_leaderboard
Coverage leaderboard
Get TechSnif source or author leaderboards: which publications and journalists drive the most tech story coverage. Rank by story count over a 7-day, 30-day, or all-time window, optionally filtered by topic.
Input schema
{'type': 'object', 'properties': {'tab': {'enum': ['sources', 'authors'], 'type': 'string', 'default': 'sources', 'description': 'Rank "sources" (publications) or "authors" (journalists)'}, 'limit': {'type': 'number', 'default': 50, 'maximum': 100, 'minimum': 1, 'description': 'Number of entries to return (default 50, max 100)'}, 'topic': {'type': 'string', 'description': 'Filter by topic slug (e.g. "ai", "security")'}, 'window': {'enum': ['7d', '30d', 'all'], 'type': 'string', 'default': '30d', 'description': 'Time window for rankings (default 30d)'}}}
get_story
Story detail
Get full details of a story cluster by slug, including all coverage links from every outlet (TechCrunch, NYT, TechSnif, etc.), direct URLs to social discussion posts (exact tweets, Reddit threads, LinkedIn posts, Bluesky posts), and the full TechSnif article text if available. Use this to answer "show me the tweets about this story" or "what outlets covered this". Filter discussion by platform, coverage by publisher, or use brief mode to skip the article body.
Input schema
{'type': 'object', 'required': ['slug'], 'properties': {'slug': {'type': 'string', 'description': 'The story cluster slug'}, 'brief': {'type': 'boolean', 'description': 'Show metadata and links only, skip the full TechSnif article body'}, 'platform': {'type': 'string', 'description': 'Filter discussion links to this platform only (e.g. "x", "bluesky", "threads")'}, 'publisher': {'type': 'string', 'description': 'Filter coverage links by publisher name (e.g. "TechCrunch"). Does not affect the lead article or discussion links.'}}}
get_story_timeline
Story timeline
Get the ranking history of a story cluster by slug: a time series of snapshots with rank, headline tier, commentary count, and coverage count at each point. Use this to see how a story rose, peaked, or faded across the news cycle.
Input schema
{'type': 'object', 'required': ['slug'], 'properties': {'slug': {'type': 'string', 'description': 'The story cluster slug'}}}
get_tech_events
Tech events
Get upcoming tech industry events (conferences, summits, expos) with dates, locations, and URLs.
Input schema
{'type': 'object', 'properties': {'limit': {'type': 'number', 'default': 10, 'maximum': 50, 'minimum': 1, 'description': 'Number of events to return (default 10, max 50)'}}}
get_top_stories
Top stories
Get tech story clusters from across the web. Each story aggregates coverage from multiple outlets (TechCrunch, The Verge, NYT, TechSnif, etc.) and includes links to social discussion (tweets, Reddit threads, LinkedIn posts). Sort by rank (prominence) or newest (most recently seen). Optionally filter by headline tier (1=standard, 2=major, 3=top story), publisher name, discussion platform, topic, or a "since" timestamp, and paginate with offset. Use get_story when you need full details or article body text.
Input schema
{'type': 'object', 'properties': {'sort': {'enum': ['rank', 'newest'], 'type': 'string', 'default': 'rank', 'description': 'Sort order: "rank" (prominence, default) or "newest" (most recently seen)'}, 'tier': {'type': 'number', 'maximum': 3, 'minimum': 1, 'description': 'Filter by headline tier: 1=standard, 2=major, 3=top story'}, 'limit': {'type': 'number', 'default': 20, 'maximum': 80, 'minimum': 1, 'description': 'Number of stories to return (default 20, max 80)'}, 'since': {'type': 'string', 'description': 'ISO 8601 date, only stories seen since this time (e.g. "2026-07-01")'}, 'topic': {'type': 'string', 'description': 'Filter by topic slug (e.g. "ai", "security")'}, 'entity': {'type': 'string', 'description': 'Filter by entity slug: only stories mentioning this company, person, or product (e.g. "openai"). Use list_entities to discover slugs.'}, 'offset': {'type': 'number', 'minimum': 0, 'description': 'Number of stories to skip (pagination)'}, 'platform': {'type': 'string', 'description': 'Filter to stories discussed on this platform (e.g. "x", "bluesky", "threads", "linkedin", "forums", "mastodon")'}, 'publisher': {'type': 'string', 'description': 'Filter by lead publisher name (e.g. "TechCrunch", "The Verge", "TechSnif")'}, 'has_discussion': {'type': 'boolean', 'description': 'Only return stories that have social discussion links'}}}
get_trending_articles
Trending articles
Get trending TechSnif editorial articles from the last 48 hours, ranked by coverage heat and recency. Use get_article for the full body text.
Input schema
{'type': 'object', 'properties': {'limit': {'type': 'number', 'default': 5, 'maximum': 20, 'minimum': 1, 'description': 'Number of articles to return (default 5, max 20)'}}}
get_trending_stories
Trending stories
Get story clusters gaining momentum right now, ranked by velocity: how quickly coverage and discussion grew within a recent window. Each story includes its velocity score plus commentary and coverage deltas. Use get_story for full detail.
Input schema
{'type': 'object', 'properties': {'hours': {'type': 'number', 'default': 24, 'maximum': 48, 'minimum': 1, 'description': 'Look-back window in hours (default 24, max 48)'}, 'limit': {'type': 'number', 'default': 20, 'maximum': 50, 'minimum': 1, 'description': 'Number of stories to return (default 20, max 50)'}}}
list_entities
Entities
List the companies, people, and products TechSnif tracks across story clusters, with story counts. Only entities linked to at least one story are returned, most-covered first. Pass a returned slug as the entity param of get_top_stories to pull every story about that entity.
Input schema
{'type': 'object', 'properties': {'type': {'enum': ['company', 'person', 'product'], 'type': 'string', 'description': 'Filter by entity type: company, person, or product'}, 'limit': {'type': 'number', 'default': 100, 'maximum': 500, 'minimum': 1, 'description': 'Number of entities to return (default 100, max 500)'}}}
search_articles
Search articles
Full-text search over TechSnif editorial article titles and excerpts, ranked by relevance. Returns article summaries with category, tags, and publish dates. Use get_article for the full body text, and paginate with offset.
Input schema
{'type': 'object', 'required': ['query'], 'properties': {'limit': {'type': 'number', 'default': 20, 'maximum': 50, 'minimum': 1, 'description': 'Max results to return (default 20, max 50)'}, 'query': {'type': 'string', 'minLength': 2, 'description': 'Search query, matches article titles and excerpts (min 2 characters)'}, 'offset': {'type': 'number', 'minimum': 0, 'description': 'Number of results to skip (pagination)'}}}
search_stories
Search stories
Full-text search over story cluster headlines and excerpts, ranked by relevance. Returns matching story clusters with coverage links, discussion link counts, and TechSnif article references when available. Use get_story for full detail and article body text. Optionally filter by publisher and paginate with offset.
Input schema
{'type': 'object', 'required': ['query'], 'properties': {'limit': {'type': 'number', 'default': 10, 'maximum': 50, 'minimum': 1, 'description': 'Max results to return (default 10, max 50)'}, 'query': {'type': 'string', 'minLength': 2, 'description': 'Search query, matches story headlines and excerpts (min 2 characters)'}, 'offset': {'type': 'number', 'minimum': 0, 'description': 'Number of results to skip (pagination)'}, 'platform': {'type': 'string', 'description': 'Narrow displayed discussion links to this platform (e.g. "x", "bluesky")'}, 'publisher': {'type': 'string', 'description': 'Filter by lead publisher name (e.g. "TechCrunch", "TechSnif")'}}}
History
Recent tool changes
Added
list_entities
Sept. 17, 2026, 12:37 p.m.
Added
get_leaderboard
Sept. 17, 2026, 12:37 p.m.
Added
get_trending_stories
Sept. 17, 2026, 12:37 p.m.
Added
get_changes
Sept. 17, 2026, 12:37 p.m.
Added
get_story_timeline
Sept. 17, 2026, 12:37 p.m.
Added
get_trending_articles
Sept. 17, 2026, 12:37 p.m.
Added
search_articles
Sept. 17, 2026, 12:37 p.m.
Added
get_article
Sept. 17, 2026, 12:37 p.m.
Added
get_articles
Sept. 17, 2026, 12:37 p.m.
Added
get_tech_events
Sept. 17, 2026, 12:37 p.m.
Added
search_stories
Sept. 17, 2026, 12:37 p.m.
Added
get_story
Sept. 17, 2026, 12:37 p.m.
Added
get_top_stories
Sept. 17, 2026, 12:37 p.m.
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