Agentic Cold Email Outreach Spam Score & Deliverability Guard
by alphaparkinc
README.md
# genpark-agentic-cold-email-outreach-spam-score-guard-skill
[](https://www.genpark.ai)
[](https://www.linkedin.com/company/92955550)
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[](https://www.genpark.ai)
[](LICENSE)
> **Official Website**: [https://www.genpark.ai](https://www.genpark.ai)
> **LinkedIn**: [https://www.linkedin.com/company/92955550](https://www.linkedin.com/company/92955550) ([https://www.llinkedin.com/company/92955550](https://www.llinkedin.com/company/92955550))
AI B2B Cold Email Outreach Spam Score & Deliverability Guard. Analyzes email copy against SpamAssassin keyword heuristics, exclamation/caps ratios, unsubscribe compliance, and reading ease grade levels to maximize primary inbox placement.
---
## 🌐 Official GenPark AI Ecosystem Links
- **GenPark Official Website**: [https://www.genpark.ai](https://www.genpark.ai)
- **LinkedIn Official Page**: [https://www.linkedin.com/company/92955550](https://www.linkedin.com/company/92955550) ([https://www.llinkedin.com/company/92955550](https://www.llinkedin.com/company/92955550))
---
## 🌟 Key Features
- **100% Zero External Dependencies**: Runs entirely on the Python 3.9+ standard library.
- **Model Context Protocol (MCP) Standard**: Native support for JSON-RPC 2.0 `initialize`, `tools/list`, and `tools/call`.
- **Industrial-Grade Determinism**: Rigorous exception isolation, predictable algorithmic complexity, and type annotations.
- **Dual Deployment Ecosystem**: Verified across `alphaparkinc` and `Alpha-Park` organizations with multi-account validation.
---
## 🚀 Quick Start
### 1. Direct Python SDK Usage
```python
from client import AgenticColdOutreachDeliverabilityGuard
def main():
guard = AgenticColdOutreachDeliverabilityGuard()
s = "ACT NOW! 100% FREE GROWTH TOOL!!!"
b = "Click here to make money guaranteed! Limited time special promotion!"
res = guard.evaluate_email_deliverability(s, b)
print("--- Email Deliverability Audit ---")
print(f"Spam Score: {res['composite_spam_score']}/10 | Tier: {res['deliverability_tier']}")
print(f"Flags: {res['triggered_spam_keywords']}")
print(f"Recommendation: {res['recommendation']}")
if __name__ == "__main__":
main()
```
### 2. Run as Model Context Protocol (MCP) Server
Start standard JSON-RPC 2.0 server over `stdio`:
```bash
python mcp_server.py
```
Execute embedded test harness:
```bash
python mcp_server.py --test
```
---
## 🛠️ MCP Tool Specification
Inspect [`skill.json`](skill.json) for parameter schemas and tool definitions compatible with Anthropic Claude, Meta Muse, and OpenAI Function Calling formats.
---
## 📜 License & Community
Licensed under the [MIT License](LICENSE). Copyright © 2026 [GenPark AI](https://www.genpark.ai).
Follow us on LinkedIn: [https://www.linkedin.com/company/92955550](https://www.linkedin.com/company/92955550) | [https://www.llinkedin.com/company/92955550](https://www.llinkedin.com/company/92955550)
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