Digital Marketing Pro

Name: Digital Marketing Pro
Author: indranilbanerjee

integrations · by indranilbanerjee

Claude Code plugin: 115 commands, 25 agents, 64 scripts, 67 MCP servers, 143 reference files. Eval/QA layer (hallucination detection, claim verification, A+ through F grading). Multilingual (Sarvam AI, DeepL, Google Cloud Translation). Full execution with approval workflow.

770 20/wk 4 tools GitHub npm PyPI

3 open CVEs

MIT license

Actively maintained

Last commit 9d ago

Works with most clients

Transport: stdio, sse

4 tools · ~347 tok

Grade A · 0.2% of 200K ctx

MCPpedia last refreshed this data 13h ago

This server has been archived and is no longer actively maintained.

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Digital Marketing Pro is an MCP server that claude Code plugin: 115 commands, 25 agents, 64 scripts, 67 MCP servers, 143 reference files. Eval/QA layer (hallucination detection, claim verification, A+ through F grading). Multilingual (Sarvam AI, DeepL, Google Cloud Translation). Full execution with approval workflow. Its tool list has not been published yet over stdio and sse, requires no API key, and scores 61/100 on MCPpedia's security, maintenance and efficiency rubric.

Marketing

Step 1

Install in your client

Config is the same across clients — only the file and path differ.

Supported in Claude Desktopstdio, sse · Node 18+

Paste into ~/Library/Application Support/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "digital-marketing-pro": {
      "args": [
        "-y",
        "integrations"
      ],
      "command": "npx"
    }
  }
}

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[![MCPpedia Score](https://mcppedia.org/api/badge/digital-marketing-pro)](https://mcppedia.org/s/digital-marketing-pro)

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What Digital Marketing Pro does

Digital Marketing Pro transforms Claude into a full-stack marketing intelligence system. It covers every marketing discipline, adapts to any business model, auto-applies compliance rules, and learns from your past campaigns.

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Scored, not listed

Why this score

Five weighted categories — click any category to see the underlying evidence.

Score breakdown

61/100across 5 weighted dimensions

How we score →

0255075100

−39

Security

Maintenance

Efficiency

Documentation

Compatibility

Categoriesclick a row to see evidence

Security

OSV.dev

3 open13 fixed

CVE-2026-12252high · fixedCVSS 7.8

PYSEC-2026-2085

In nltk/nltk versions 3.9.3 and earlier, five Stanford interface classes (StanfordPOSTagger, StanfordNERTagger, StanfordParser, StanfordDependencyParser, and StanfordNeuralDependencyParser) are vulnerable to untrusted JAR code execution. These classes accept user-controllable JAR paths and execute them via the `java()` function, which invokes `subprocess.Popen()` without integrity verification. This vulnerability is identical to CVE-2026-0848, which was fixed for StanfordSegmenter by adding SHA2

Affected: >= 0Fixed in 3.9.4source →

CVE-2026-12243highCVSS 7.5

PYSEC-2026-597

NLTK version 3.9.4 is vulnerable to a path traversal attack due to an incomplete fix for GitHub Issue #3504. The `_UNSAFE_NO_PROTOCOL_RE` regex in `nltk/data.py` checks for literal `../` sequences but fails to account for percent-encoded traversal sequences such as `..%2f`. The `url2pathname()` function decodes these sequences after the validation step, allowing an attacker to bypass the protection. This vulnerability enables an attacker to read arbitrary files accessible to the Python process b

Affected: >= 0source →

CVE-2026-54293high · fixedCVSS 7.5

PYSEC-2026-2078

NLTK (Natural Language Toolkit) is a suite of open source Python modules, data sets, and tutorials supporting research and development in Natural Language Processing. Prior to 3.10.0-rc1, nltk.data.load() in NLTK is vulnerable to path traversal via URL-encoded path separators and traversal segments when using the nltk: URL scheme. The unsafe-path regex check is performed before url2pathname() decodes the %xx sequences (a classic decode-after-check / TOCTOU-style flaw), allowing an attacker to by

Affected: >= 0Fixed in 3.10.0source →

CVE-2026-33236high · fixedCVSS 8.1

PYSEC-2026-2237

NLTK (Natural Language Toolkit) is a suite of open source Python modules, data sets, and tutorials supporting research and development in Natural Language Processing. In versions 3.9.3 and prior, the NLTK downloader does not validate the `subdir` and `id` attributes when processing remote XML index files. Attackers can control a remote XML index server to provide malicious values containing path traversal sequences (such as `../`), which can lead to arbitrary directory creation, arbitrary file c

Affected: >= 0Fixed in 3.9.4source →

CVE-2026-33231high · fixedCVSS 7.5

PYSEC-2026-2236

NLTK (Natural Language Toolkit) is a suite of open source Python modules, data sets, and tutorials supporting research and development in Natural Language Processing. In versions 3.9.3 and prior, `nltk.app.wordnet_app` allows unauthenticated remote shutdown of the local WordNet Browser HTTP server when it is started in its default mode. A simple `GET /SHUTDOWN%20THE%20SERVER` request causes the process to terminate immediately via `os._exit(0)`, resulting in a denial of service. Commit bbaae83db

Affected: >= 0Fixed in 3.9.4source →

Inventory

Tools (4)

Click any tool to inspect its schema.

~347 tokens total

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Frequently Asked Questions

Is Digital Marketing Pro safe to use?: Digital Marketing Pro has 5 known CVEs tracked by MCPpedia. You can verify these on OSV.dev by searching for "integrations". Review the Security section above for details before installing.
How do I install Digital Marketing Pro?: Digital Marketing Pro supports copy-paste install configs on its MCPpedia page for Claude Desktop, Cursor, and Claude Code. Scroll to the Quick Install section and select your client.
What can Digital Marketing Pro do?: Digital Marketing Pro provides 4 tools: digital-marketing-pro:brand-setup, digital-marketing-pro:engagement, digital-marketing-pro:check, digital-marketing-pro:status. See the full tools list on the server page for descriptions and parameters.
What AI clients work with Digital Marketing Pro?: Digital Marketing Pro is compatible with claude-desktop, cursor, claude-code. It uses stdio and sse transport.
Is Digital Marketing Pro actively maintained?: Digital Marketing Pro is actively maintained — last commit was 9 days ago. It has 770 GitHub stars.

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Community

Discussion

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Has anyone used this with Cursor?How do you handle auth?Any alternatives?

Digital Marketing Pro

Your agency just signed a 50-brand client. The previous agency left no playbook. Three brands are bleeding budget, two have stale positioning, one is launching in a regulated jurisdiction next month. Where do you start?

Run /digital-marketing-pro:engagement against each brand. Same 12-Part Strategy Flow, same Four Core Documents, same 61-step structure — auditable across the entire portfolio in ~60 minutes per brand on Claude Opus-class models (measured on Opus 4.8; Opus 5 is the current equivalent at the same price). No more inconsistent depth between brands. No more "what did the last agency do?" mysteries. No more compliance gaps in regulated jurisdictions.

Open-source AI marketing plugin — 163 skills, 24 specialist agents, EU AI Act Article 50 ready, Cowork team-persistent. Built for marketing agencies, in-house teams running 50–200 brands, and consultancies. Installs on Claude Code (CLI + IDE), Anthropic Cowork, OpenAI Codex, Cursor 2.5+, GitHub Copilot CLI, Google Antigravity 2.0, Hermes Agent, and OpenClaw + 35+ Agent Skills platforms. Created by Indranil Banerjee · LinkedIn · X.

🆕 Just shipped — v3.31.1 (August 17, 2026): all five open community issues verified and fixed. Every open GitHub issue was reproduced against the current release before touching anything — all five were real, and each fix ships with the guard that makes its regression class impossible: (#10) claim-verifier.py's percentage pattern ended in %\b, which — because % is a non-word character — only matched when a word character followed the percent sign: 98%x was a claim while "98% of customers" extracted nothing; fixed with %(?!\w) and pinned by a new CLI-level test suite. (#11) keyword_cluster.py tokenized with [a-z0-9]+, splitting every non-ASCII letter ("bürohaftpflicht" → "rohaftpflicht") — and exact-token Jaccard scored related German compounds at 0.00, blinding the cannibalisation gate and the link map in compounding languages; fixed with a Unicode tokenizer plus compound-aware similarity (containment matching with a 6-char floor; English sets score exactly as before, SERP-URL overlap stays pure Jaccard), pinned by tests including an English-parity bound. (#13) engagement-workflow's frontmatter allowed-tools omitted Task

Frequently Asked Questions

Is Digital Marketing Pro safe to use?

Digital Marketing Pro has 5 known CVEs tracked by MCPpedia. You can verify these on OSV.dev by searching for "integrations". Review the Security section above for details before installing.

How do I install Digital Marketing Pro?

Digital Marketing Pro supports copy-paste install configs on its MCPpedia page for Claude Desktop, Cursor, and Claude Code. Scroll to the Quick Install section and select your client.

What can Digital Marketing Pro do?

Digital Marketing Pro provides 4 tools: digital-marketing-pro:brand-setup, digital-marketing-pro:engagement, digital-marketing-pro:check, digital-marketing-pro:status. See the full tools list on the server page for descriptions and parameters.

What AI clients work with Digital Marketing Pro?

Digital Marketing Pro is compatible with claude-desktop, cursor, claude-code. It uses stdio and sse transport.

Is Digital Marketing Pro actively maintained?

Digital Marketing Pro is actively maintained — last commit was 9 days ago. It has 770 GitHub stars.

Digital Marketing Pro