# Ai Briefing (npm · @pipeworx/mcp-ai-briefing)

AI Briefing MCP — Keep AI models current on industry developments

- Trust score: 84/100 (high trust)
- Change this week: +3
- Registry status: active
- Liveness: live
- Owner verified: no
- Last scored: 2026-11-05

## Components

- remote · `gateway.pipeworx.io`: 63/100, [markdown](https://verifymcp.io/servers/pipeworx-io-ai-briefing/ai-briefing-mcp.md), [page](https://verifymcp.io/servers/pipeworx-io-ai-briefing/ai-briefing-mcp)
- npm · `@pipeworx/mcp-ai-briefing`: 84/100 (this document), [markdown](https://verifymcp.io/servers/pipeworx-io-ai-briefing/pipeworx-mcp-ai-briefing.md), [page](https://verifymcp.io/servers/pipeworx-io-ai-briefing/pipeworx-mcp-ai-briefing)

## Channel facts

- Registry: `npm`
- Package: `@pipeworx/mcp-ai-briefing`
- Version: `0.2.1`
- Transport: `stdio`

## Trust breakdown

How this component scores in each security and reliability category. Every signal is checked automatically from public evidence about the published package, including repeated runs of it in an isolated sandbox, and we only credit what we can confirm. Scores are 0–100 per category. Scoring method: https://verifymcp.io/docs/scoring (what has changed: https://verifymcp.io/docs/scoring/changelog)

Scored 2026-11-05.

- **Supply Chain Security**: 100/100
  - No malware found by supply-chain analysis.
  - No known CVEs affecting this package version or its production dependencies.
  - No install/post-install scripts declared.
  - No production dependencies, so there is no dependency health to assess.
- **Provenance & Transparency**: 97/100
  - Source repository is publicly reachable at the declared URL.
  - Cryptographically verified build provenance (signed, bound to pipeworx-io/mcp-ai-briefing).
  - Clear OSI-approved license (MIT).
  - Actively maintained (last published 5 days ago).
  - Disclosure check failed: no security disclosure policy was found in the source repository.
- **Schema Quality & AI Usability**: 77/100
  - AI-judged instruction clarity (good).
  - Tool/resource definitions use about 768 tokens (~96/item across 8 items; 8 tools + 0 resources), lean.
  - Usage-examples check failed: none of the tools include examples.
- **Stability & Change Management**: 23/100
  - Stability observed for 7 of 30 days with no destabilising changes; credit accrues until the full window elapses.
- **Tool Coverage**: 100/100
  - 100% of tools have a non-trivial description (not blank, and not just the tool's name).
  - 100% of tool parameters carry a description.
- **Tool Safety**: 100/100
  - No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.
  - We read all 8 captured tool definition(s), and no name or description among them implies an irreversible operation.
  - An AI judge read all 9 captured unit(s) of tool text and found none that tries to manipulate the model reading it.
- **Capabilities**: 100/100
  - Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.

## Install

### How do I install the Ai Briefing MCP server?

Ai Briefing runs locally as an npm package, launched with npx -y @pipeworx/mcp-ai-briefing. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.

### Claude

```bash
claude mcp add pipeworx-io-ai-briefing -- npx -y @pipeworx/mcp-ai-briefing
```

### Cursor

```json
{
  "mcpServers": {
    "pipeworx-io-ai-briefing": {
      "command": "npx",
      "args": [
        "-y",
        "@pipeworx/mcp-ai-briefing"
      ]
    }
  }
}
```

### VS Code

```json
{
  "servers": {
    "pipeworx-io-ai-briefing": {
      "command": "npx",
      "args": [
        "-y",
        "@pipeworx/mcp-ai-briefing"
      ]
    }
  }
}
```

### Codex

```bash
codex mcp add pipeworx-io-ai-briefing -- npx -y @pipeworx/mcp-ai-briefing
```

### opencode

```json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "pipeworx-io-ai-briefing": {
      "type": "local",
      "command": [
        "npx",
        "-y",
        "@pipeworx/mcp-ai-briefing"
      ],
      "enabled": true
    }
  }
}
```

### OpenClaw

```bash
openclaw mcp add pipeworx-io-ai-briefing --command npx --arg -y --arg @pipeworx/mcp-ai-briefing
```

### Hermes

```yaml
mcp_servers:
  pipeworx-io-ai-briefing:
    command: "npx"
    args: ["-y", "@pipeworx/mcp-ai-briefing"]
```

### Netclaw

```json
{
  "McpServers": {
    "pipeworx-io-ai-briefing": {
      "Transport": "stdio",
      "Command": "npx",
      "Arguments": [
        "-y",
        "@pipeworx/mcp-ai-briefing"
      ]
    }
  }
}
```

### Vellum

```bash
assistant mcp add pipeworx-io-ai-briefing -t stdio -c npx -a -y @pipeworx/mcp-ai-briefing
```

### Other

```json
{
  "mcpServers": {
    "pipeworx-io-ai-briefing": {
      "command": "npx",
      "args": [
        "-y",
        "@pipeworx/mcp-ai-briefing"
      ]
    }
  }
}
```

## Changelog

Every change recorded for this component, newest first. Days that predate change tracking, or that we cannot explain, say so: "we were watching and nothing happened" and "we were not watching" are different claims.

### 2026-11-03 (score 84, +1)

No change was recorded against any check on this day. Stability & Change Management went from 13 to 17. That category is still filling its 30-day observation window: 4 days of observed history at the previous scan, 5 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-11-01 (score 83, +1)

No change was recorded against any check on this day. Stability & Change Management went from 7 to 10. That category is still filling its 30-day observation window: 2 days of observed history at the previous scan, 3 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-10-30 (score 82, +1)

- [functional] Package version: 0.2.0 → 0.2.1

### 2026-10-29 (score 81)

First indexed and scored.

## MCP tools (8)

### `get_briefing` (~68 tokens)

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.

Input parameters:

- `date` (string): Date in YYYY-MM-DD format (default: today)

### `search_developments` (~66 tokens)

Search for new tools, APIs, MCP servers, and frameworks by keyword (e.g., 'vector databases', 'Claude integrations'). Returns matching developments with descriptions and sources.

Input parameters:

- `limit` (number): Max results (default 10)
- `query` (string, required): Search query

### `get_recent` (~205 tokens)

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). 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.

Input parameters:

- `category` (string): Filter by category (e.g., model_release, paper, funding). Heuristic headline label, not a curated taxonomy — check the titles.
- `days` (number): Look back N days (default 7)
- `importance` (string): Filter by importance: low, normal, high, breaking
- `limit` (number): Max results (default 20)
- `source` (string): Filter by source (e.g., arxiv, hackernews, github)

### `get_model_landscape` (~85 tokens)

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. Membership comes from the same heuristic headline label as get_recent(category=model_release), so verify the titles before quoting the list as complete.

Input parameters:

- `days` (number): Look back N days (default 30)

### `get_timeline` (~86 tokens)

Get a chronological timeline of AI developments between two dates. Returns events ordered by date with descriptions for understanding a specific period.

Input parameters:

- `category` (string): Optional category filter
- `end_date` (string): End date YYYY-MM-DD (default: today)
- `limit` (number): Max results (default 50)
- `start_date` (string, required): Start date YYYY-MM-DD

### `get_ai_toolbelt` (~67 tokens)

Get the latest available tools — Claude Code features, MCP servers, SDK updates, CLI tools, integrations. Returns new capabilities since your training cutoff.

Input parameters:

- `days` (number): Look back N days (default 7)
- `limit` (number): Max results (default 15)

### `get_ai_news` (~65 tokens)

Get AI industry news — model releases, funding, acquisitions, policy changes, benchmarks. Returns news events with dates and summaries for industry context.

Input parameters:

- `days` (number): Look back N days (default 7)
- `limit` (number): Max results (default 15)

### `what_happened` (~70 tokens)

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.

Input parameters:

- `days` (number): Look back N days (default 30)
- `question` (string, required): Your question about recent AI developments

## Diagnostics

Captured diagnostic sections: Provenance, Dependencies. The full working is on the page: https://verifymcp.io/servers/pipeworx-io-ai-briefing/pipeworx-mcp-ai-briefing#diagnostics

## Score history

- 2026-11-05: 84
- 2026-11-04: 84
- 2026-11-03: 84
- 2026-11-02: 83
- 2026-11-01: 83
- 2026-10-31: 82
- 2026-10-30: 82
- 2026-10-29: 81

## Common questions

### What is the Ai Briefing MCP server?

Ai Briefing is an MCP server listed in the public MCP registry as io.github.pipeworx-io/ai-briefing. AI Briefing MCP, Keep AI models current on industry developments. This page covers its npm package (@pipeworx/mcp-ai-briefing).

### Is the Ai Briefing MCP server safe to use?

Ai Briefing scores 84 out of 100 on VerifyMCP. We found no known CVEs affecting it as of 5 November 2026. It declares no install or post-install scripts. Its build provenance is signed and verified. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.

### What tools does the Ai Briefing MCP server expose?

Ai Briefing exposes 8 tools: get_briefing, search_developments, get_recent, get_model_landscape, get_timeline, and 3 more. Their descriptions and schemas cost roughly 712 tokens of context every time the server is loaded.

### Is the Ai Briefing MCP server still maintained?

Ai Briefing is still listed as active in the MCP registry. We last reached this channel on 5 November 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.

### What licence is the Ai Briefing MCP server under?

Ai Briefing declares the MIT licence, which is OSI-approved. That covers the source only, and says nothing about the cost of any service it calls.

## Links

- npm package: https://www.npmjs.com/package/@pipeworx/mcp-ai-briefing
- Socket report: https://socket.dev/npm/package/@pipeworx/mcp-ai-briefing
- Repository: https://github.com/pipeworx-io/mcp-ai-briefing
- Website: https://pipeworx.io/packs/ai-briefing
- Changelog RSS feed: https://verifymcp.io/servers/pipeworx-io-ai-briefing/pipeworx-mcp-ai-briefing.xml
- Changelog JSON feed: https://verifymcp.io/servers/pipeworx-io-ai-briefing/pipeworx-mcp-ai-briefing.json
- HTML version of this page: https://verifymcp.io/servers/pipeworx-io-ai-briefing/pipeworx-mcp-ai-briefing