Ai Briefing
NPM · @PIPEWORX/MCP-AI-BRIEFING · 2 COMPONENTS
AI Briefing MCP — Keep AI models current on industry developments
Available components
Last scanned (9 hours ago)
Scores higher than 81% of npm servers
Category News and Social
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. How we score → Why this is hard to score →
Supply Chain Security100
- No malware found by supply-chain analysis.Pass
- No known CVEs affecting this package version or its production dependencies.Pass
- No install/post-install scripts declared.Pass
- No production dependencies, so there is no dependency health to assess. View diagnostics → Pass
Provenance & Transparency97
- Source repository is publicly reachable at the declared URL. View diagnostics → Pass
- Cryptographically verified build provenance (signed, bound to pipeworx-io/mcp-ai-briefing). View diagnostics → Pass
- Clear OSI-approved license (MIT).Pass
- Actively maintained (last published 5 days ago).Pass
- Disclosure check failed: no security disclosure policy was found in the source repository. See how to fix → Fail
Schema Quality & AI Usability77
- AI-judged instruction clarity (good).Pass
- Tool/resource definitions use about 768 tokens (~96/item across 8 items; 8 tools + 0 resources), lean.Pass
- Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management23
- Stability observed for 7 of 30 days with no destabilising changes; credit accrues until the full window elapses.Partial
Tool Coverage100
- 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
- 100% of tool parameters carry a description.Pass
Tool Safety100
- No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
- We read all 8 captured tool definition(s), and no name or description among them implies an irreversible operation.Pass
- An AI judge read all 9 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities100
- Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.Pass
Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.
- 3 Nov 26 +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.
- 1 Nov 26 +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.
- 30 Oct 26 +1
- Package version: 0.2.0 → 0.2.1 functional
- 29 Oct 26 81
First indexed and scored.
Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.
Captured 5 Nov 2026 · Analysed npm/@pipeworx/mcp-ai-briefing@0.2.1
Provenance Verified
A signed build attestation was found and verified, binding this exact artifact to the source repository it claims to come from.
| Result | Verified |
|---|---|
| Ecosystem | npm |
| Reason | Verified |
| Discovered via | Registry attestation endpoint |
| Source repo | pipeworx-io/mcp-ai-briefing |
| Certificate issuer | https://token.actions.githubusercontent.com |
| Certificate SAN | https://github.com/pipeworx-io/mcp-ai-briefing/.github/workflows/publish.yml@refs/heads/main |
| Rekor log index | 3587864333 |
| Predicate type | SLSA build provenance https://slsa.dev/provenance/v1 |
| Subject digest | sha512:531df3b6d56748c1e721eed72977b42e7dfd882ac05d226f11a6aabb74f72d6d4170323ce3413d09637235e9120ccc923772c1216b415eca7b7d1d41f |
Background: How many MCP packages publish verified provenance →
Dependencies 0 packages
| Packages resolved | 0 |
|---|---|
| Tree resolution | Complete |
Background: SBOMs and build attestations, explained →
The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability. A tool's description is untrusted text the model reads on every call, which is what makes this list a security surface and not just an inventory: how tool poisoning works →
get_ai_news ~65
Get AI industry news — model releases, funding, acquisitions, policy changes, benchmarks. Returns news events with dates and summaries for industry context.
| Name | Type | Req | Description |
|---|---|---|---|
| days | number | – | Look back N days (default 7) |
| limit | number | – | Max results (default 15) |
No output schema declared.
No examples provided.
get_ai_toolbelt ~67
Get the latest available tools — Claude Code features, MCP servers, SDK updates, CLI tools, integrations. Returns new capabilities since your training cutoff.
| Name | Type | Req | Description |
|---|---|---|---|
| days | number | – | Look back N days (default 7) |
| limit | number | – | Max results (default 15) |
No output schema declared.
No examples provided.
get_briefing ~68
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.
| Name | Type | Req | Description |
|---|---|---|---|
| date | string | – | Date in YYYY-MM-DD format (default: today) |
No output schema declared.
No examples provided.
get_model_landscape ~85
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.
| Name | Type | Req | Description |
|---|---|---|---|
| days | number | – | Look back N days (default 30) |
No output schema declared.
No examples provided.
get_recent ~205
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.
| Name | Type | Req | Description |
|---|---|---|---|
| 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) |
No output schema declared.
No examples provided.
get_timeline ~86
Get a chronological timeline of AI developments between two dates. Returns events ordered by date with descriptions for understanding a specific period.
| Name | Type | Req | Description |
|---|---|---|---|
| category | string | – | Optional category filter |
| end_date | string | – | End date YYYY-MM-DD (default: today) |
| limit | number | – | Max results (default 50) |
| start_date | string | yes | Start date YYYY-MM-DD |
No output schema declared.
No examples provided.
search_developments ~66
Search for new tools, APIs, MCP servers, and frameworks by keyword (e.g., 'vector databases', 'Claude integrations'). Returns matching developments with descriptions and sources.
| Name | Type | Req | Description |
|---|---|---|---|
| limit | number | – | Max results (default 10) |
| query | string | yes | Search query |
No output schema declared.
No examples provided.
what_happened ~70
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.
| Name | Type | Req | Description |
|---|---|---|---|
| days | number | – | Look back N days (default 30) |
| question | string | yes | Your question about recent AI developments |
No output schema declared.
No examples provided.
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.
npm · @pipeworx/mcp-ai-briefing
claude mcp add pipeworx-io-ai-briefing -- npx -y @pipeworx/mcp-ai-briefing
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.