About Ai Briefing
Ai Briefing is an MCP server published by pipeworx-io in the AI category: aI Briefing MCP — Keep AI models current on industry developments.
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Install
git clone https://github.com/pipeworx-io/mcp-ai-briefingThis server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.
Tools (7)
get_ai_newsGet AI industry news — model releases, funding, acquisitions, policy changes, benchmarks. Returns news events with dates and summaries for industry context.
Parameters not published.
get_briefingGet 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.
Parameters not published.
get_model_landscapeList 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. Membership comes from the same heuristic headline label as get_recent(category=model_release), so verify the titles before quoting the list as complete.
Parameters not published.
get_recentRetrieve 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). The category is a keyword label derived from the headline at ingest, not a curated classification — filtering by it narrows the feed but does not guarantee every row belongs; the response repeats this caveat whenever a category filter is applied.
Parameters not published.
get_timelineGet a chronological timeline of AI developments between two dates. Returns events ordered by date with descriptions for understanding a specific period.
Parameters not published.
search_developmentsSearch for new tools, APIs, MCP servers, and frameworks by keyword (e.g., 'vector databases', 'Claude integrations'). Returns matching developments with descriptions and sources.
Parameters not published.
what_happenedAsk natural language questions about recent tools and developments (e.g., 'any new MCP servers this week', 'latest Claude tools'). Returns the most relevant developments.
Parameters not published.
Ask AI
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README
mcp-ai-briefing
AI Briefing MCP — Keep AI models current on industry developments
Part of Pipeworx — an MCP gateway connecting AI agents to 250+ 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. |
Quick Start
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"
}
}
}
Using with ask_pipeworx
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.
More
License
MIT
README copy captured when this server was indexed; it may lag the repository. The original is authoritative.