Skip to main content
Glama
inity13

ScenarioSim MCP

by inity13
OverviewSchemaSourceRelated ServersDiscussionsAdmin
JavaScript
Hybrid

Related Servers

Alternatives to ScenarioSim MCP

No user-submitted related servers found.

    Related Servers

    • AgentStack MCP

      inity13
      A
      license
      C
      quality
      A
      maintenance
      One deterministic reasoning stack behind a single MCP endpoint, chaining scenario simulation, decision analysis, and precision computation with 40-digit decimal math.
      24
      23 npm
      MIT

    • precisioncalc-mcp

      inity13
      A
      license
      A
      quality
      A
      maintenance
      An MCP server that provides deterministic, high-precision business, finance, and operational calculations such as SaaS metrics, currency conversion, business days, and financial formulas, returning structured JSON results.
      11
      34 npm
      MIT

    • Stochastic Process Analyzer

      eatenbywo1ves
      F
      license
      Not graded
      quality
      D
      maintenance
      Advanced server for simulating financial models and stochastic processes, offering tools for generating simulations, calculating financial metrics, and visualizing results with interactive components.
      -

    • ComputeToAi

      RalfHuesing
      A
      license
      Not graded
      quality
      B
      maintenance
      A simulation engine for retirement planning, accessible via an MCP server that allows AI agents to create financial plans, manage income, expenses, loans, taxes, and portfolios, and run Monte Carlo simulations.
      MIT

    • finance-calc-mcp

      FellowTraveler
      A
      license
      A
      quality
      D
      maintenance
      An MCP server and CLI providing business, financial, and tax calculations including math expressions, income tax estimates, loan amortization, depreciation, and more.
      10
      2
      MIT
    Deploy Server
    One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

    TDQS

    A3.8/5.0

    Scored across 6 tools

    Disambiguation5/5

    Each tool has a clearly distinct purpose: run_scenario for single projections, sensitivity_analysis for one-at-a-time input variation, break_even for solving target values, compare_scenarios for side-by-side comparisons, list_templates for discovering available models, and health_check for server status. No two tools overlap in functionality, so an agent can unambiguously select the right one.

    Naming Consistency4/5

    All tool names use lowercase snake_case, which is consistent and predictable. Most follow a verb_noun pattern (run_scenario, compare_scenarios, list_templates), though sensitivity_analysis and health_check are noun-based. This slight deviation from a pure verb-first convention is minor and doesn't hinder readability.

    Tool Count5/5

    With 6 tools, the server is well-scoped for a scenario simulation domain. Each tool covers a distinct aspect (running, comparing, sensitivity, break-even, template discovery, health), and none feel redundant or missing. This is an appropriate size for the intended functionality.

    Completeness4/5

    The tool set covers the core simulation lifecycle: discover templates, run a scenario, compare variants, perform sensitivity analysis, and solve for break-even points. A minor gap is the lack of explicit tools for creating or modifying templates, but since run_scenario supports free-form models and list_templates documents the format, users can work around this limitation.

    Maintenance

    ActivitySlowing
    ResponsivenessNo issues

    Resources