AI Briefing MCP — Keep AI models current on industry developments
Config is the same across clients — only the file and path differ.
{
"mcpServers": {
"io-github-pipeworx-io-ai-briefing": {
"command": "<see-readme>",
"args": []
}
}
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AI Briefing MCP — Keep AI models current on industry developments
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AI Briefing MCP — Keep AI models current on industry developments
Part of Pipeworx — an MCP gateway connecting AI agents to 250+ live data sources.
| 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 250+ 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