Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type @ followed by the MCP server name and your instructions, e.g., "@genpark-complex-financial-formula-audit-validator-skill Check if this balance sheet balances and redact any SSNs."
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
🌐 GenPark MCP Hub Showcase • 📦 Official Website • 📖 Documentation
genpark-complex-financial-formula-audit-validator-skill is a deterministic, zero-dependency Python skill engineered with 100% production-grade functional parity for document layout parsing, complex financial/legal table reconstruction, formula consistency auditing, and sensitive PII redaction.
Executive Capability: Mathematical consistency and formula balancing auditor for extracted balance sheets, income statements, and cash flow reports.
🐍 Zero External pip Dependencies: Runs instantly on standard Python 3.9+ with zero environment bloat.
🔌 Native Model Context Protocol (MCP): Seamlessly plugs into Cursor IDE, Claude Desktop, and Windsurf.
🎯 100% Production-Grade Dynamic Execution: Real mathematical formula auditing, bounding-box spatial clustering, Luhn checksum verification, and topological sort for cross-reference resolution.
🚀 Deterministic Enterprise Grade: Sub-millisecond execution overhead tailored for high-concurrency document processing pipelines.
Related MCP server: genpark-hybrid-bounding-box-ocr-table-reconstructor-skill
graph LR
User([📄 Document / Extracted OCR Payload]) -->|JSON-RPC Request| MCP[⚡ MCP Server / CLI]
MCP --> Client[🛠️ Document Skill Client]
Client --> Core[🧠 Deterministic Spatial & Audit Kernel]
Core --> Output[📊 Structured Matrix & Validation Dossier]
Output --> Userpython example_usage.pyfrom client import FinancialFormulaAuditValidator
client = FinancialFormulaAuditValidator()
result = client.run_benchmark_financial_audit()
print(result)Connect this skill to Claude Desktop, Cursor, or any MCP-compliant client:
claude_desktop_config.json{
"mcpServers": {
"genpark-complex-financial-formula-audit-validator-skill": {
"command": "python",
"args": ["/path/to/genpark-complex-financial-formula-audit-validator-skill/mcp_server.py"]
}
}
}Parameter | Type | Required | Description |
|
| Yes | Primary document bounding box, table, financial, or text payload |
|
| Yes | Standardized response schema containing extracted matrices and audit telemetry |
GenPark AI Agent Skills are engineered with zero external dependencies using pure Python standard library code. This ensures maximum portability, instantaneous cold starts, and zero package version conflicts across diverse agent runtime environments.
Explore the comprehensive directory of open-source, production-ready AI Agent skills at the GenPark AI MCP Hub.
Run python mcp_server.py --test to verify MCP protocol discovery and tool schema negotiation.
This server cannot be deployed
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