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Enterprise-grade MCP server enabling Excel-based financial analytics, Monte Carlo risk, ASC 606 and SOX automation, and executive dashboards
Configuration
View docs{
"mcpServers": {
"jeremycharlesgillespie-excel-mcp": {
"url": "http://your-server:3001/mcp"
}
}
}You can transform Excel into a powerful, enterprise-grade financial analytics platform that combines AI-powered insights, advanced forecasting, regulatory compliance, and seamless Excel integration. This MCP server lets your finance team model, analyze, and report with full transparency and audit-ready calculations, all while accelerating planning and board-ready deliverables.
You run a local MCP server to enable connected clients (like Excel). From your Excel client, you connect to the MCP server so Excel can create smart charts, run Monte Carlo simulations, generate rolling cash flow forecasts, perform DCF analyses, and produce executive dashboards. Your client configuration points to the server endpoint, and the MCP tools execute calculations using Excel-compatible formulas for full transparency. Use the server to automate ASC 606 and SOX-compliant processes, then export audit-ready packages for external reviews. In practice, you will: connect the client to the server, trigger analytics or compliance modules from your spreadsheets, and generate professional reports and dashboards with AI-powered recommendations.
Key workflows you can enable include: creating AI-assisted charts that select the right visualizations, running Monte Carlo cash flow simulations, generating 13/52-week rolling cash flow forecasts, building DCF models with sensitivity analysis, automating ASC 606 revenue recognition, performing SOX controls testing, and producing executive dashboards with actionable insights. All calculations are formula-based and traceable within Excel so you can audit every step.
Prerequisites: make sure you have Node.js and Python installed on your machine, plus access to a terminal or command prompt. You will also need npm to install dependencies and run scripts, and pip to install Python requirements.
npm install
pip install -r requirements.txt
npm run build
npm startYou can also enable remote access via an MCP Bridge to connect a client running on a different machine. The bridge serves as a conduit between your client and the MCP server, allowing you to deploy the server in one environment and connect from another.
# Server machine
npm install && npm run build
cd bridge && npm install && npm run build
npm start # Starts at http://localhost:3001
# Client machine - Add to Claude Desktop config:
{
"mcpServers": {
"excel-finance-enterprise": {
"command": "npx",
"args": ["@modelcontextprotocol/server-fetch", "http://your-server:3001/mcp/call"]
}
}
}The server exposes a suite of tools that you call from your Excel environment. Examples include creating professional workbooks, AI-assisted charting, Monte Carlo simulations, rolling forecasts, DCF valuation, executive dashboards, ASC 606 automation, SOX testing, and audit preparation. You will see names like excel_create_workbook, excel_create_smart_chart, analytics_monte_carlo_simulation, analytics_dcf_valuation, compliance_asc606_revenue_recognition, and compliance_sox_controls_test.
Create a professional Excel workbook suitable for financial modeling and reporting.
AI-powered chart selection to choose the most informative visualizations based on data context.
Write transparent, formula-based calculations that are auditable within Excel.
Check formulas for compliance and correctness across the model.
Run Monte Carlo simulations with configurable distributions and iterations to model risk.
Generate rolling 13-week cash flow forecasts with driver-based inputs.
Produce 52-week projections with seasonal adjustments for strategic planning.
Build professional DCF models with sensitivity analysis and WACC integration.
Create AI-powered executive dashboards with insights and recommendations.
Automate ASC 606 revenue recognition including contracts, performance obligations, and disclosures.
Perform SOX Section 404 testing with statistical sampling and audit-ready evidence.
Assemble complete audit readiness packages and documentation.
Compute Net Present Value for investment decisions.
Compute Internal Rate of Return for projects.
Generate loan payment schedules and amortization plans.
Analyze key financial ratios for performance assessment.
Apply various depreciation methods to asset models.