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Adrex AI

NPM · ADREX-AI · SCANNED AUG 3

Open-source MCP server for Google Ads & Meta Ads — manage campaigns from any AI assistant.

Available components

+24 this week 70 Trust /100
Trust breakdown (6 categories)

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 →

Supply Chain Security87
  • No malware found by supply-chain analysis.Pass
  • Only part of the dependency tree could be resolved (96 of 100), so this covers what we could see, not the whole tree.Partial
  • No install/post-install scripts declared.Pass
  • Only part of the dependency tree could be resolved (96 of 100), so this covers what we could see, not the whole tree. View diagnostics → Partial
Provenance & Transparency45
Schema Quality & AI Usability77
  • AI-judged instruction clarity (excellent).Pass
  • Tool/resource definitions use about 2908 tokens (~53/item across 54 items; 54 tools + 0 resources), lean.Pass
  • Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management27
  • Stability observed for 8 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
Capabilities100
  • Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.Pass
Install

Add this component to your MCP client. Where a client-specific snippet is available, pick your client below and copy it straight into your config; otherwise use the connection detail shown.

npm · adrex-ai

# add to Claude Code
claude mcp add gauravapiscean-adrex-ai -- npx -y adrex-ai
# add to Codex CLI
codex mcp add gauravapiscean-adrex-ai -- npx -y adrex-ai
// opencode.json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "gauravapiscean-adrex-ai": {
      "type": "local",
      "command": [
        "npx",
        "-y",
        "adrex-ai"
      ],
      "enabled": true
    }
  }
}
# add to OpenClaw
openclaw mcp add gauravapiscean-adrex-ai --command npx --arg -y --arg adrex-ai
# ~/.hermes/config.yaml
mcp_servers:
  gauravapiscean-adrex-ai:
    command: "npx"
    args: ["-y", "adrex-ai"]
// mcp.json
{
  "mcpServers": {
    "gauravapiscean-adrex-ai": {
      "command": "npx",
      "args": [
        "-y",
        "adrex-ai"
      ]
    }
  }
}
Changelog

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 Aug 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 23 to 27. That category is still filling its 30-day observation window: 7 days of observed history at the previous scan, 8 at this one. The score rises as the window fills, whether or not the server changes.

  • 2 Aug 26 +43
    • Provenance: unverified → fail security
    • Install scripts: unverified → pass security
    • Known CVEs: unverified → partial security
    • Malware scan: unverified → pass security
    • Stability: Stability not yet verified: we do not have a sandbox capture of the MCP schema this version of the package serves yet. security
    • Capabilities: pass → unverified functional
    • Security disclosure: fail → unverified functional
    • Schema quality: unverified → excellent functional
    • License: unverified → pass functional
    • Stability: unverified → 0.23 functional
    • Dependency health: unverified → partial functional
    • Maintenance: unverified → pass functional
    • Licence: MIT functional
  • 1 Aug 26 +5
    • Stability: Stability not yet verified: not enough scan history yet (needs a 30-day window). security
    • MCP protocol: unverified → pass functional
  • 31 Jul 26 −25
    • We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
  • 27 Jul 26 46

    First indexed and scored.

Diagnostics

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 3 Aug 2026 · Analysed npm/[email protected]

Provenance none

Ecosystem: npm · Outcome: none

Dependencies 96 packages

96 packages in the resolved dependency tree · 96 deprecated · 29 stale.

The dependency tree was only partially resolved, so these counts may be incomplete.

MCP tools — 54 exposed · ~2,908 tokens

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.

Tool Tokens
meta_ads_time_series ~45

Get daily performance time series for a Meta campaign

NameTypeReqDescription
campaign_idstringyesMeta campaign ID
daysnumberNumber of days (default 30)

No output schema declared.

No examples provided.

meta_ads_update_ad_set ~68

Update a Meta ad set's name, budget, or status

NameTypeReqDescription
ad_set_idstringyesMeta ad set ID
daily_budgetnumberNew daily budget in dollars
namestringNew name
statusstringNew status

No output schema declared.

No examples provided.

meta_ads_update_campaign ~65

Update a Meta campaign's name, budget, or status

NameTypeReqDescription
campaign_idstringyesMeta campaign ID
daily_budgetnumberNew daily budget in dollars
namestringNew campaign name
statusstringNew status

No output schema declared.

No examples provided.

meta_ads_update_targeting ~99

Update targeting settings on a Meta ad set (age, gender, countries, interests)

NameTypeReqDescription
ad_set_idstringyesMeta ad set ID
age_maxnumberMaximum age
age_minnumberMinimum age
countriesarrayTarget country codes
gendersarrayGenders: 1=Male, 2=Female
interestsarrayInterest targeting

No output schema declared.

No examples provided.