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io.github.inity13/agentstack-mcp

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io.github.inity13/agentstack-mcp

inity13Verified

Deterministic reasoning stack for AI agents: simulate, decide & compute, plus cross-domain tools.

AI models & agents

Developer ToolsIs io.github.inity13/agentstack-mcp down?Alternatives

12 of 22 checks passed

  • Handshake
  • Tools listed
  • Updated recently

Responded

The server completed its last measured handshake. This is an observation, not a guarantee.

Connect to server
Median latency
46 ms
Uptime, 30 days
Not measured
Last checked

Measurement details

Core

  • Pass
    Reachable

    Latest probe returned HTTP 200 in 46 ms.

  • Pass
    Valid handshake

    protocolVersion 2025-11-25, serverInfo.name AgentStack.

  • Pass
    Lists tools

    tools/list returned 24 tools.

  • Pass
    Current protocol

    Negotiated 2025-11-25. The bar is 2025-06-18 or newer.

  • Pass
    HTTPS

    The endpoint URL is https.

Performance

  • Not measured
    Fast (p50)

    Median latency 46 ms over 1 samples in 7 days. The bar is 1000 ms. Need at least 5 samples.

  • Not measured
    Consistent (p95)

    95th percentile 46 ms over 1 samples in 7 days. The bar is 3000 ms. Need at least 20 samples.

  • Not measured
    Reliable (uptime)

    1 of 1 attempts returned a tool list in 30 days (100%). The bar is 99%. Need at least 30 samples.

  • Not measured
    Stable tool list

    Fewer than two successful probes in 30 days, so tool-list stability is not measured.

Access

  • Pass
    Open access

    tools/list succeeded with no credential, and the record declares none.

  • Not measured
    Standard auth

    Auth is not required, so the OAuth metadata check does not apply.

  • Not measured
    Free tier cited

    No publisher quote has been checked.

Tools

  • Pass
    Tools described

    Every tool description is at least 20 characters.

  • Pass
    Valid input schemas

    Every inputSchema is a JSON Schema object.

  • Fail
    Parameters documented

    0 of 113 parameters have a description (0%). The bar is 80%.

  • Fail
    Safety hints

    24 tools set neither readOnlyHint nor destructiveHint.

Publisher

  • Pass
    Verified namespace

    Listed in the Official MCP Registry.

  • Not measured
    Website matches publisher

    This namespace is not a reverse domain, so the website comparison does not apply.

  • Pass
    Source repo linked

    A repository URL is on file.

  • Pass
    Repo owner matches

    The GitHub repository owner matches the namespace login.

  • Pass
    Recently updated

    Updated 2026-08-12T09:24:44.479438Z, within 180 days.

  • Not measured
    Open-source licence

    The GitHub licence lookup has not returned an OSI result yet.

Tools

  • calc_business_days

    COMPUTE. Business-day arithmetic honoring weekends + regional holidays. operation: add_business_days | count_business_days | next_business_day | previous_business_day. region: US | UK | EU | NONE.

    Measured

  • calc_compound_growth

    COMPUTE. Compound-interest/growth math. operation: future_value | present_value | cagr. rate is annual decimal; compounding: daily|weekly|monthly|quarterly|semiannually|annually|continuous.

    Measured

  • calc_currency_convert

    COMPUTE. Convert between major currencies (USD, EUR, GBP, JPY, CAD, AUD, CHF, CNY, INR) with Decimal precision. Static offline table by default; live/historical ECB rates via date/live=true.

    Measured

  • calc_depreciation

    COMPUTE. Asset depreciation schedule. method: straight_line | declining_balance | sum_of_years_digits.

    Measured

  • calc_irr

    COMPUTE. Internal Rate of Return: per-period rate where NPV=0 (Newton + bisection). Requires a sign change in cashflows.

    Measured

  • calc_list_metrics

    COMPUTE. List every supported metric with descriptions and required/optional params. No parameters.

    Measured

  • calc_loan_amortization

    COMPUTE. Level-payment loan: monthly payment, total interest, payoff, and (optional) full schedule.

    Measured

  • calc_metric

    COMPUTE. Exact business/SaaS/finance metric: ltv, cac, ltv_cac_ratio, payback_period_months, contribution_margin, gross_margin, churn_rate, mrr_growth_rate, arr, break_even_units, nrr, grr, rule_of_40, magic_number. Rates/margins are decimals (0.05=5%). Call calc_list_metrics for schemas.

    Measured

  • calc_npv

    COMPUTE. Net Present Value (discounted cash flow). NPV = sum(CF_t/(1+rate)^t); cashflows[0] is period 0 (usually the negative outlay).

    Measured

  • decide

    DECIDE. Rank named options against weighted criteria and return the winner, full ranking, per-criterion breakdowns, methodology, weights, and an explanation. Provide options, criteria [{name, weight, direction}], and a scores matrix. method: weighted_sum (default) | weighted_product | topsis.

    Measured

  • decide_compare_two

    DECIDE. Head-to-head comparison of exactly two options with per-criterion win counts and margin. Pass option_a/option_b (or a 2-element options array), criteria, and scores.

    Measured

  • decide_list_methods

    DECIDE. List the scoring methods (weighted_sum, weighted_product, topsis) with normalization details and when to use each. No parameters.

    Measured

  • decide_score

    DECIDE. Return the full normalized scored matrix (per-option, per-criterion) + ranking when scores are supplied separately, without the winner narrative.

    Measured

  • decide_sensitivity

    DECIDE. Test how robust the decision winner is to changes in CRITERIA WEIGHTS (distinct from sim_sensitivity, which varies scenario inputs). Sweeps each weight +/-variation and reports a robustness score + flip points.

    Measured

  • evaluate_options_with_scenarios

    COMPOSITE (simulate -> decide). Project each option as its own scenario, then rank the options against weighted criteria drawn from the scenario OUTCOMES. Provide a base 'template', an 'options' array ([{name, inputs}]), and 'criteria' ([{metric, weight, direction}]) where each metric is a scenario key_result. Combines ScenarioSim + DecisionMatrix.

    Measured

  • health_check

    Aggregated health/status for the whole stack (all three engines + composites). No parameters.

    Measured

  • list_capabilities

    Discovery: the three namespaces (sim_*, decide_*, calc_*), the cross-domain composite tools, the available ?profile= filters, and links to the standalone servers. Call this first to see everything AgentStack exposes. No parameters.

    Measured

  • plan_to_valuation

    COMPOSITE (simulate -> compute). Project a scenario, take a per-period cash-flow line from its projections ('cashflow_metric', e.g. 'mrr' or 'net_burn'), and value it exactly: NPV at a discount 'rate', IRR, and undiscounted total. Optional 'initial_investment' becomes the period-0 outflow (needed for IRR). Combines ScenarioSim + PrecisionCalc.

    Measured

  • sim_break_even

    SIMULATE. Solve for the scenario input value required to make an output metric hit a target value (deterministic bisection). Requires 'template', 'solve_for', 'target_value'.

    Measured

  • sim_compare

    SIMULATE. Run 2-3 scenarios and compare their key_results side by side with deltas vs the first (baseline). Optional 'compare_metric' + 'goal' (max|min) picks a winner.

    Measured

  • sim_list_templates

    SIMULATE. List every scenario template (inputs, defaults, outputs) plus the custom-model format and period labels. No parameters.

    Measured

  • sim_run

    SIMULATE. Deterministic what-if projection from a template (saas_growth, pricing_change, churn_impact, cost_reduction, hiring_plan, cash_runway, unit_economics, marketing_funnel, compound_growth) or a free-form 'metrics' model. Returns per-period projections, key_results, assumptions_used, methodology, and an explanation.

    Measured

  • sim_sensitivity

    SIMULATE. Vary one or more scenario inputs and show the impact on a target output metric (one-at-a-time), with elasticity + most-influential ranking. Requires 'template' and 'variable' (or 'variables').

    Measured

  • stress_test_decision

    COMPOSITE (simulate x decide). Take an options-vs-scenarios decision and stress ONE scenario assumption across a range applied to every option; report how often the baseline winner survives (robustness) and where it flips. Same args as evaluate_options_with_scenarios plus 'stress': {variable, variation, steps}.

    Measured

Probe history

  • ok46 ms24 tools

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Connect to this server

Claude Code

claude mcp add --transport http io-github-inity13-agentstack-mcp https://agentstack-mcp.pages.dev/mcp

Cursor .cursor/mcp.json

{
  "mcpServers": {
    "io-github-inity13-agentstack-mcp": {
      "url": "https://agentstack-mcp.pages.dev/mcp"
    }
  }
}

VS Code .vscode/mcp.json

{
  "servers": {
    "io-github-inity13-agentstack-mcp": {
      "type": "http",
      "url": "https://agentstack-mcp.pages.dev/mcp"
    }
  }
}