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genpark-agentic-multimodal-pdf-contract-redline-diff-skill

mcp
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SUMMARY

AI Multimodal Legal Contract Redline Diff & Liability Escalation Sentinel. Compares baseline and counter-party draft revisions, flags high-risk clause shifts (indemnity, IP assignment, liability caps, non-solicitation), and synthesizes lega | GenPark: https://www.genpark.ai | LinkedIn: https://www.llinkedin.com/company/92955550

README.md

genpark-agentic-multimodal-pdf-contract-redline-diff-skill

Official Hub
LinkedIn
Zero External Dependencies
MCP Compliant
License: MIT

Official Website: https://www.genpark.ai
LinkedIn: https://www.linkedin.com/company/92955550 (https://www.llinkedin.com/company/92955550)

AI Multimodal Legal Contract Redline Diff & Liability Escalation Sentinel. Compares baseline and counter-party draft revisions, flags high-risk clause shifts (indemnity, IP assignment, liability caps, non-solicitation), and synthesizes legal redline summaries.

🌐 Official GenPark AI Ecosystem Links

🌟 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

from client import AgenticContractRedlineDiffSentinel

def main():
    sentinel = AgenticContractRedlineDiffSentinel()
    b = [{"clause_id": "C-1", "section_name": "Confidentiality", "text": "Standard 3-year confidentiality period."}]
    r = [{"clause_id": "C-1", "section_name": "Confidentiality", "text": "Perpetual confidentiality obligation with sole remedy exclusion."}]
    res = sentinel.redline_compare_clauses(b, r)
    print("--- Legal Redline Diff Audit ---")
    print(f"Verdict: {res['verdict']} | Escalations: {res['high_risk_escalations_count']}")
    for d in res['clause_diffs']:
        print(f"* [{d['severity']}] {d['clause_id']}: {d['change_type']} -> {d.get('flagged_risks')}")

if __name__ == "__main__":
    main()

2. Run as Model Context Protocol (MCP) Server

Start standard JSON-RPC 2.0 server over stdio:

python mcp_server.py

Execute embedded test harness:

python mcp_server.py --test

🛠️ MCP Tool Specification

Inspect 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. Copyright © 2026 GenPark AI.
Follow us on LinkedIn: https://www.linkedin.com/company/92955550 | https://www.llinkedin.com/company/92955550

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