Vishwa AI For Finance
Vishwa AI for Finance is an enterprise-grade Model Context Protocol (MCP) server purpose-built for institutional financial analysis. It connects AI assistants like Claude, ChatGPT, and Copilot directly to structured financial data, enabling credit underwriting, portfolio surveillance, PE due diligence, and risk monitoring at institutional standards.
Unlike generic data tools, Vishwa is built for the workflows that credit analysts, portfolio managers, and investment professionals actually use, from spreading financial statements to computing DSCR, testing covenant compliance, and generating credit memos.
Data That Others Can't Touch
The real power of Vishwa is not public data. It is the ability to take any private company's financial documents, including scanned PDFs, handwritten stock statements, and unstructured lender presentations, and turn them into the same structured, analysis-ready data that public filings get.
Upload any document. Vishwa extracts, normalizes, validates, and spreads it automatically. Your AI assistant can query it within minutes, not days. No manual data entry. No spreadsheet wrangling. The same 170+ ratios, the same stress testing, the same covenant checks that work on public companies work identically on your private portfolio.
This is how mid-market lenders, NBFCs, and PE firms analyze companies that have no structured data anywhere else.
Public company filings (SEC, MCA, Companies House) across the US, India, and UK are also available out of the box for benchmarking and peer comparison.
What You Can Do
Financial Statement Analysis Query audited Profit & Loss, Balance Sheet, and Cash Flow statements across multiple periods. Filter by consolidation status (standalone/consolidated), audit status, and reporting term (annual, quarterly, half-yearly). Search any line item by keyword across all statements.
Credit Ratio Computation Compute 170+ pre-built financial ratios and KPIs spanning leverage (Debt/Equity, Debt/EBITDA), coverage (DSCR, Interest Coverage, Fixed Charge Coverage), liquidity (Current Ratio, Quick Ratio, Cash/Monthly OpEx), profitability (ROA, ROE, Net Margin, EBITDA Margin), and working capital efficiency (DSO, DIO, DPO, Cash Conversion Cycle).
Risk Assessment Automated risk flag detection across financial ratios, trend deterioration, and qualitative signals from audit reports. Severity-graded flags (HIGH/MEDIUM/LOW) with source traceability back to the underlying data.
Stress Testing Run scenario analysis (revenue shock, cost inflation, interest rate hike, combined downturn) and sensitivity analysis (single-variable range sweep) against any target metric. See baseline vs stressed values with covenant breach detection.
Covenant Compliance Test loan covenants against actual financial data: maximum leverage, minimum DSCR, current ratio floors, interest coverage thresholds. Per-period pass/fail with headroom percentage and breach magnitude.
Peer Benchmarking Compare any entity against peers on key financial metrics. Statistical summary with median, percentile rank, min/max across the peer set.
Working Capital Intelligence Deep working capital analysis through 39 stock statement views: inventory aging, debtor/creditor concentration, party-wise breakdowns, churn analysis, circular trading detection, and drawing power computation.
Borrowing Profile Analysis Analyze debt facilities across 19 views: lender concentration, product mix, repayment schedules (actual vs projected), tenor analysis, and cost of borrowing.
Fund Operations and NBFC Analytics Portfolio quality monitoring for NBFCs and lending institutions: AUM by DPD bucket, collection efficiency (on-book/off-book), disbursement trends, and operational KPIs.
Shareholding and Cap Table Full cap table analysis across 22 instrument types (equity, preference, convertibles, warrants, ESOPs) and 25+ investor categories (promoter, PE, VC, mutual fund, HNI, retail). Track dilution, voting rights, and corporate actions.
Document Intelligence Search enriched content from audit reports, management discussion, notes to accounts, and board reports. Find audit qualifications, going concern notes, related party disclosures, and key narrative insights.
Credit Memo Generation AI-generated credit memo sections (executive summary, financial analysis, risk assessment, facility recommendation) grounded in actual computed data with source traceability.
Built for Institutional Standards
- OAuth 2.1 authentication with PKCE, enterprise-grade security, no API keys
- Tenant-level access control with tool group gating
- Every response includes source URLs linking back to audited data
- 171 pre-built financial formulas with fallback-safe variable resolution
- Supports both standalone and consolidated financial views
- Multi-currency (INR, USD, EUR, GBP, JPY, CHF, MYR) and multi-denomination (Crores, Lakhs, Millions, Billions)
Prompt Templates Included
Six ready-to-use analysis workflows that guide the AI through the correct tool chain:
- Credit Analysis: Full underwriting with ratios, trends, risk flags, working capital, audit review
- NBFC Portfolio Review: AUM quality, DPD aging, collection efficiency, disbursement trends
- PE Due Diligence: Cap table, ownership, leverage, instrument mix, dilution tracking
- Risk Monitoring: Early warning signals, deterioration detection, covenant headroom
- Stress Test: Revenue decline, cost inflation, rate hike, combined downturn scenarios
- Covenant Compliance: Standard loan covenant testing with headroom analysis
Get Started
claude mcp add --transport http vishwa https://mcp.vishwa.ai/mcp
Connect. Authenticate. Analyze any company in your portfolio.
Recommend Servers
View AllWrite notes to Flomo