indranilbanerjee/digital-marketing-pro

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.

40
/ 100
Emerging

Bridges Claude with 14 HTTP MCP connectors and 68 third-party integrations to execute real marketing actions—publishing content, sending emails, launching ads, syncing CRMs—within a human-in-the-loop approval framework that classifies execution risk (low/medium/high/critical) and enforces industry-specific compliance gates. The architecture layers persistent memory across vector DBs (Pinecone/Qdrant), temporal knowledge graphs (Graphiti), and universal agent memory (Supermemory) to retain campaign learnings across sessions, while 25 context-aware agents (including predictive intelligence, competitor tracking, and GEO monitoring agents) orchestrate 65 Python scripts and query live data from MCP servers to drive decisions. Supports 10 business models, 22 industry profiles with benchmarks, and 16 privacy law jurisdictions with automatic compliance routing.

No Package No Dependents
Maintenance 10 / 25
Adoption 6 / 25
Maturity 9 / 25
Community 15 / 25

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Stars

17

Forks

4

Language

Python

License

MIT

Last pushed

Mar 05, 2026

Commits (30d)

0

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