Ai Briefing

io.github.pipeworx-io/ai-briefing

Documentation

AI Briefing MCP — Keep AI models current on industry developments

Part of Pipeworx — an MCP gateway connecting AI agents to 1394+ live data sources.

Tool	Description
`get_briefing`	Get the daily AI tools digest for a given date (default: today) — new MCP servers, APIs, SDKs, and frameworks released in the last 24 hours, with summaries and source URLs.
`search_developments`	Search for new tools, APIs, MCP servers, and frameworks by keyword (e.g., 'vector databases', 'Claude integrations'). Returns matching developments with descriptions and sources.
`get_recent`	Retrieve AI developments from the last N days (default 7), filterable by category (e.g., model_release, paper, mcp), source (e.g., arxiv, github), and importance (low/normal/high/breaking).
`get_model_landscape`	List AI model releases from the last N days (default 30). Returns model names, provider companies, release dates, feature summaries, and source URLs grouped by importance.
`get_timeline`	Get a chronological timeline of AI developments between two dates. Returns events ordered by date with descriptions for understanding a specific period.
`get_ai_toolbelt`	Get the latest available tools — Claude Code features, MCP servers, SDK updates, CLI tools, integrations. Returns new capabilities since your training cutoff.
`get_ai_news`	Get AI industry news — model releases, funding, acquisitions, policy changes, benchmarks. Returns news events with dates and summaries for industry context.
`what_happened`	Ask natural language questions about recent tools and developments (e.g., 'any new MCP servers this week', 'latest Claude tools'). Returns the most relevant developments.

Add to your MCP client (Claude Desktop, Cursor, Windsurf, etc.):

{
  "mcpServers": {
    "ai-briefing": {
      "url": "https://gateway.pipeworx.io/ai-briefing/mcp"
    }
  }
}

Or connect to the full Pipeworx gateway for access to all 1394+ data sources:

{
  "mcpServers": {
    "pipeworx": {
      "url": "https://gateway.pipeworx.io/mcp"
    }
  }
}

Instead of calling tools directly, you can ask questions in plain English:

ask_pipeworx({ question: "your question about Ai Briefing data" })

The gateway picks the right tool and fills the arguments automatically.

MIT