mcp-ai-briefing

AI Briefing MCP — Keep AI models current on industry developments

Part of Pipeworx — an MCP gateway connecting AI agents to 673+ live data sources.

Tools

Tool	Description
`get_briefing`	Get today's AI tools briefing — new MCP servers, APIs, SDKs, frameworks from the last 24 hours. Returns release summaries with sources and descriptions. Use at session start.
`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`	Get recent tool releases filtered by category (e.g., 'mcp', 'agent_framework', 'open_source') or source (e.g., 'github', 'anthropic_blog'). Returns descriptions and metadata.
`get_model_landscape`	Get recent AI model releases — which providers shipped what, when, and their key capabilities. Returns model names, companies, dates, and feature summaries.
`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 673+ 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.

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