Skip to main content
Glama
Alpha-Park

genpark-enterprise-spreadsheet-formula-dag-synthesizer-skill

by Alpha-Park

genpark-enterprise-spreadsheet-formula-dag-synthesizer-skill

Python 3.9+ License MIT MCP Compatible GenPark AI Zero Dependencies

🌐 GenPark MCP Hub • 📦 GenPark Official • 📖 Documentation


🌟 Overview

genpark-enterprise-spreadsheet-formula-dag-synthesizer-skill delivers robust, industrial-grade capabilities engineered for Consumer Agentic Commerce (e.g. Meta Muse, Expedia, Mastercard Agent Connect) and Enterprise Workplace Execution (e.g. Tencent WorkBuddy Goal-to-PPT/Excel deliverable workflows). Built exclusively on the Python standard library with zero external runtime dependencies, it integrates seamlessly as a native Model Context Protocol (MCP) server or an importable Python module.

Enterprise Spreadsheet Financial Model & Formula DAG Synthesizer (inspired by Tencent WorkBuddy Goal-to-Excel Workflows). Synthesizes multi-tab financial models, detects circular references, compiles formula dependency DAGs (SUMIFS, XLOOKUP, CAGR, NPV), and evaluates deterministic preview cell matrices.

💡 Key Capabilities

  • Zero-Dependency Architecture: Runs anywhere Python 3.9+ is installed without pip install overhead or supply-chain vulnerabilities.

  • Model Context Protocol (MCP) First: Compatible with Claude Desktop, Cursor, GenPark Engine, Meta Muse, and enterprise managed agent runtimes.

  • Deterministic & Safe: Rigorous state machine models, cryptographic ledger hashes, mathematical dependency graphs, and full telemetry.

  • High Concurrency & Low Latency: In-memory caching, topological cycle detection, and optimized execution loops.


Related MCP server: modelforge

🚀 Quickstart

1. Direct Python Usage

from client import EnterpriseSpreadsheetFormulaDAGSynthesizer

client = EnterpriseSpreadsheetFormulaDAGSynthesizer()
result = client.compile_spreadsheet_model()
print(result)

2. Standalone MCP Server Execution

Run the MCP server via standard JSON-RPC 2.0 stdio:

python mcp_server.py

Verify standard compliance and self-tests:

python mcp_server.py --test

3. Claude Desktop / Cursor MCP Configuration

Add this tool to your claude_desktop_config.json or Cursor MCP settings:

{
  "mcpServers": {
    "genpark-enterprise-spreadsheet-formula-dag-synthesizer-skill": {
      "command": "python",
      "args": ["/absolute/path/to/genpark-enterprise-spreadsheet-formula-dag-synthesizer-skill/mcp_server.py"]
    }
  }
}

🛠️ Verification & Testing

Run the included verification suite:

python example_usage.py

📄 License

This project is licensed under the MIT License - see the LICENSE file for details.

Developed with ❤️ by the GenPark Autonomous Agent Ecosystem Team.

Related MCP Connectors

Related MCP Servers

  • A
    license
    Not graded
    quality
    B
    maintenance
    Financial model factory MCP server: turns a spec into a live-formula Excel workbook. 14 templates (LBO, DCF, M\&A, IPO, restructuring, project finance, NPL, structured credit, 3-statement) with every cell formulated and every number source-traced to its document page.
    2
    Academic Free v1.1
  • A
    license
    A
    quality
    D
    maintenance
    MCP server for deterministic numeric verification and spreadsheet auditing. Enables AI agents to verify math/finance claims, audit rows, and evaluate covenant rules with signed, independently checkable receipts.
    4
    MIT
  • A
    license
    Not graded
    quality
    C
    maintenance
    Enables financial modeling for SaaS and other assets via MCP tools, including simulation, scenario comparison, sensitivity analysis, semantic knowledge search, and persistent context memory.
    MIT