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Uses MCP's resource-based architecture to expose scenarios as queryable entities with versioning support, allowing clients to define base cases, stress tests, and sensitivity analyses without managing separate data infrastructure.","intents":["Define multiple financial scenarios with different assumptions and parameters","Store and retrieve scenario definitions for later analysis or comparison","Create baseline, bull-case, and bear-case scenarios for financial modeling","Version control scenario definitions to track changes over time"],"best_for":["Financial analysts building multi-scenario models","Risk teams evaluating stress-test scenarios","LLM agents orchestrating financial analysis workflows"],"limitations":["No built-in persistence layer — requires external database or file system configuration","Scenario complexity limited by MCP message size constraints (typically <4MB per request)","No native support for hierarchical scenario dependencies or inheritance patterns"],"requires":["Node.js 18+","MCP client implementation (Claude, custom agent, etc.)","@modelcontextprotocol/sdk package"],"input_types":["JSON scenario definitions","numeric parameters and assumptions","time-series data for historical context"],"output_types":["structured scenario objects","scenario metadata and versioning info","scenario comparison summaries"],"categories":["tool-use-integration","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm_npm-modelcontextprotocolserver-scenario-modeler__cap_1","uri":"capability://data.processing.analysis.scenario.parameter.calculation.and.propagation","name":"scenario-parameter-calculation-and-propagation","description":"Computes derived financial metrics and propagates parameter changes across scenario dimensions using a calculation engine that evaluates formulas and dependencies between variables. Implements dependency tracking to ensure that when a base assumption changes (e.g., interest rate), all dependent calculations (NPV, IRR, cash flows) are automatically recalculated and propagated through the scenario tree.","intents":["Automatically calculate derived metrics when base assumptions change","Propagate interest rate or inflation changes across all affected cash flows","Evaluate complex financial formulas (NPV, IRR, duration, convexity) for each scenario","Identify which parameters have the largest impact on outcomes"],"best_for":["Quantitative analysts building sensitivity analysis models","Portfolio managers evaluating scenario impacts on valuations","Risk systems requiring real-time metric recalculation"],"limitations":["Calculation performance degrades with >100 interdependent parameters due to recursive dependency resolution","No built-in support for Monte Carlo or stochastic calculations — only deterministic formula evaluation","Limited to mathematical operations; no support for external data lookups during calculation"],"requires":["Node.js 18+","Scenario definitions with explicit parameter and formula declarations","MCP server running with calculation engine initialized"],"input_types":["numeric parameters","formula expressions (mathematical notation or code)","scenario variable assignments"],"output_types":["calculated metric values","dependency graphs","calculation audit trails"],"categories":["data-processing-analysis","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm_npm-modelcontextprotocolserver-scenario-modeler__cap_2","uri":"capability://data.processing.analysis.multi.scenario.comparison.and.analysis","name":"multi-scenario-comparison-and-analysis","description":"Provides analytical tools to compare outcomes across multiple scenarios simultaneously, computing deltas, sensitivities, and ranking scenarios by specified metrics. Implements matrix-based comparison logic that aligns scenarios on common dimensions (time periods, asset classes, risk factors) and generates comparative reports showing which assumptions drive the largest outcome variations.","intents":["Compare outcomes across base case, bull case, and bear case scenarios","Identify which parameter changes have the largest impact on final results","Rank scenarios by risk-adjusted return or other composite metrics","Generate scenario comparison reports for stakeholder communication"],"best_for":["Portfolio strategists evaluating scenario-based investment decisions","Risk committees reviewing stress-test results","LLM agents synthesizing financial analysis for reports"],"limitations":["Comparison limited to scenarios with identical parameter sets — no automatic alignment of mismatched dimensions","No built-in visualization — outputs are structured data requiring external charting tools","Sensitivity analysis uses finite-difference approximation, not analytical derivatives"],"requires":["Node.js 18+","Multiple scenario definitions with overlapping parameters","MCP client capable of handling large comparison matrices"],"input_types":["scenario identifiers or scenario objects","comparison metrics (list of KPIs to compare)","sensitivity parameters (which variables to vary)"],"output_types":["comparison matrices (scenarios × metrics)","delta tables (differences from base case)","sensitivity rankings","structured comparison reports"],"categories":["data-processing-analysis","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm_npm-modelcontextprotocolserver-scenario-modeler__cap_3","uri":"capability://data.processing.analysis.scenario.export.and.format.conversion","name":"scenario-export-and-format-conversion","description":"Exports scenario definitions and results in multiple formats (JSON, CSV, Excel, PDF) suitable for different downstream tools and stakeholders. Implements format-specific serialization logic that handles data type conversion, decimal precision, and layout optimization for each target format while preserving scenario metadata and calculation provenance.","intents":["Export scenarios to Excel for stakeholder review and manual editing","Generate PDF reports with scenario summaries and charts","Export scenario data to CSV for import into other financial systems","Create portable scenario definitions that can be shared across teams"],"best_for":["Financial teams distributing analyses to non-technical stakeholders","Organizations integrating scenario models with legacy financial systems","Compliance teams documenting scenario assumptions for audit trails"],"limitations":["PDF export requires external rendering engine (e.g., Puppeteer) — not included in base package","Excel export limited to 1M rows per sheet — large scenario matrices may require splitting","Format conversion is lossy for complex nested structures; some metadata may not round-trip"],"requires":["Node.js 18+","Target format libraries (xlsx, csv, json built-in; pdf requires optional dependency)","Sufficient disk space for large exports"],"input_types":["scenario objects","calculation results","scenario metadata"],"output_types":["JSON files","CSV files","Excel workbooks","PDF documents"],"categories":["data-processing-analysis","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm_npm-modelcontextprotocolserver-scenario-modeler__cap_4","uri":"capability://safety.moderation.scenario.validation.and.constraint.checking","name":"scenario-validation-and-constraint-checking","description":"Validates scenario definitions against financial constraints and business rules before execution, checking for logical inconsistencies (e.g., negative interest rates where invalid), parameter range violations, and assumption conflicts. Implements a constraint engine that evaluates user-defined rules and built-in financial constraints, providing detailed error messages that identify which parameters violate which constraints.","intents":["Prevent invalid scenarios from being calculated (e.g., negative probabilities)","Enforce business rules (e.g., 'interest rates must be between -2% and 10%')","Detect conflicting assumptions (e.g., 'if recession, then unemployment > 5%')","Provide clear feedback on why a scenario is invalid"],"best_for":["Risk teams ensuring scenario quality and consistency","Automated scenario generation systems that need guardrails","LLM agents creating scenarios that must meet regulatory or business constraints"],"limitations":["Constraint evaluation is synchronous — complex rule sets may add 100-500ms latency","No support for probabilistic constraints (e.g., 'this should be true in 95% of cases')","Custom constraints require code changes; no dynamic rule definition at runtime"],"requires":["Node.js 18+","Scenario definition with parameter metadata (min/max ranges, types)","Optional: custom constraint rules defined in configuration"],"input_types":["scenario definitions","constraint rule sets","parameter metadata"],"output_types":["validation pass/fail status","detailed error messages","constraint violation reports"],"categories":["safety-moderation","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm_npm-modelcontextprotocolserver-scenario-modeler__cap_5","uri":"capability://automation.workflow.scenario.templating.and.presets","name":"scenario-templating-and-presets","description":"Provides pre-built scenario templates for common financial modeling use cases (e.g., recession scenarios, interest rate shock scenarios, market crash scenarios) that users can instantiate and customize. Implements a template registry with parameterized scenario definitions that can be cloned and modified, reducing the time required to set up standard scenario analyses.","intents":["Quickly create standard stress-test scenarios without building from scratch","Apply industry-standard scenario assumptions (e.g., Fed stress test scenarios)","Clone and customize templates for specific portfolios or products","Ensure consistency across teams using the same scenario templates"],"best_for":["Risk teams running regular stress tests with standard scenarios","Portfolio managers who need quick scenario setup for decision-making","Compliance teams documenting standard scenario methodologies"],"limitations":["Templates are static — no automatic updates when market conditions change","Limited to pre-defined templates; custom templates require code changes","Template parameters may not align with all asset classes or products"],"requires":["Node.js 18+","Template definitions loaded at server startup","MCP client capable of listing and instantiating templates"],"input_types":["template identifiers","parameter overrides for customization"],"output_types":["scenario definitions","template metadata and descriptions"],"categories":["automation-workflow","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm_npm-modelcontextprotocolserver-scenario-modeler__cap_6","uri":"capability://automation.workflow.scenario.history.and.audit.trail","name":"scenario-history-and-audit-trail","description":"Maintains a complete audit trail of scenario creation, modification, and calculation, recording who created each scenario, when it was modified, what parameters changed, and what calculations were run. Implements immutable event logging where each scenario change is recorded as an event, enabling reconstruction of historical scenarios and compliance documentation.","intents":["Track who created and modified each scenario for compliance and accountability","Reconstruct historical scenarios to understand how assumptions evolved","Document the calculation methodology and parameters used for each result","Generate audit reports showing scenario lineage and change history"],"best_for":["Regulated financial institutions requiring audit trails","Risk teams documenting scenario methodologies for compliance","Organizations with multi-team scenario workflows requiring change tracking"],"limitations":["Audit trail storage grows linearly with scenario modifications — requires external storage for large-scale operations","No built-in data retention policies — requires external cleanup mechanisms","Audit trail queries are sequential; no indexing for fast historical lookups"],"requires":["Node.js 18+","External storage for audit events (file system, database, or event log)","User context/authentication to record who made changes"],"input_types":["scenario modifications","calculation requests","user context (user ID, timestamp)"],"output_types":["audit event logs","scenario change history","audit reports"],"categories":["automation-workflow","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm_npm-modelcontextprotocolserver-scenario-modeler__cap_7","uri":"capability://tool.use.integration.mcp.tool.discovery.and.schema.exposure","name":"mcp-tool-discovery-and-schema-exposure","description":"Exposes all scenario modeling capabilities as discoverable MCP tools with JSON schema definitions, enabling Claude and other MCP clients to understand available operations, required parameters, and expected outputs without external documentation. Implements MCP's tool discovery protocol to register tools dynamically and provide detailed descriptions that guide LLM agents in constructing appropriate requests.","intents":["Enable Claude to discover available scenario modeling operations","Allow LLM agents to understand parameter requirements and constraints","Provide type-safe tool calling with schema validation","Support natural language requests by exposing tool semantics to the LLM"],"best_for":["LLM agents orchestrating financial analysis workflows","Claude users interacting with financial scenarios through natural language","Teams building custom MCP clients that need to discover scenario tools"],"limitations":["Schema complexity may exceed LLM context limits for very large scenario models","Tool discovery is static at server startup — dynamic tool registration requires server restart","No built-in tool usage analytics or monitoring"],"requires":["Node.js 18+","MCP client implementation (Claude, custom agent, etc.)","@modelcontextprotocol/sdk package"],"input_types":["tool discovery requests","tool invocation requests with parameters"],"output_types":["tool list with descriptions","JSON schemas for each tool","tool execution results"],"categories":["tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":25,"verified":false,"data_access_risk":"high","permissions":["Node.js 18+","MCP client implementation (Claude, custom agent, etc.)","@modelcontextprotocol/sdk package","Scenario definitions with explicit parameter and formula declarations","MCP server running with calculation engine initialized","Multiple scenario definitions with overlapping parameters","MCP client capable of handling large comparison matrices","Target format libraries (xlsx, csv, json built-in; pdf requires optional dependency)","Sufficient disk space for large exports","Scenario definition with parameter metadata (min/max ranges, types)"],"failure_modes":["No built-in persistence layer — requires external database or file system configuration","Scenario complexity limited by MCP message size constraints (typically <4MB per request)","No native support for hierarchical scenario dependencies or inheritance patterns","Calculation performance degrades with >100 interdependent parameters due to recursive dependency resolution","No built-in support for Monte Carlo or stochastic calculations — only deterministic formula evaluation","Limited to mathematical operations; no support for external data lookups during calculation","Comparison limited to scenarios with identical parameter sets — no automatic alignment of mismatched dimensions","No built-in visualization — outputs are structured data requiring external charting tools","Sensitivity analysis uses finite-difference approximation, not analytical derivatives","PDF export requires external rendering engine (e.g., Puppeteer) — not included in base package","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.05,"quality":0.26,"ecosystem":0.3,"match_graph":0.25,"freshness":0.6,"weights":{"adoption":0.25,"quality":0.25,"ecosystem":0.15,"match_graph":0.23,"freshness":0.12}},"observed_outcomes":{"matches":0,"success_rate":0,"avg_confidence":0,"top_intents":[],"last_matched_at":null},"maintenance":{"status":"active","updated_at":"2026-05-24T12:16:23.904Z","last_scraped_at":"2026-05-03T14:23:45.760Z","last_commit":null},"community":{"stars":null,"forks":null,"weekly_downloads":null,"model_downloads":null,"model_likes":null}},"distribution":{"claim_url":"https://unfragile.ai/submit?claim=npm-modelcontextprotocolserver-scenario-modeler","compare_url":"https://unfragile.ai/compare?artifact=npm-modelcontextprotocolserver-scenario-modeler"}},"signature":"VSj42wUKF2iMl255FHUXKg7UhKNZXgUQ8nSt34vDWRW9k+QGN5RsEeIaguQ8OOzYo+tiE1+SROuYq1l0Lyz4AQ==","signedAt":"2026-06-22T02:34:36.369Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/npm-modelcontextprotocolserver-scenario-modeler","artifact":"https://unfragile.ai/npm-modelcontextprotocolserver-scenario-modeler","verify":"https://unfragile.ai/api/v1/verify?slug=npm-modelcontextprotocolserver-scenario-modeler","publicKey":"https://unfragile.ai/api/v1/trust-passport-public-key","spec":"https://unfragile.ai/trust","schema":"https://unfragile.ai/schema.json","docs":"https://unfragile.ai/docs"}}