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agentstack-mcp

R0· no sign-in

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

v1.0.1 · active · repository · descriptor JSON · versions

An agent can connect right now, no human step.Remote endpoint, no authentication, reachable on the last probe.
Quality83good
Trust91of 100
Uptime, 30 days100%
Latency p50148 ms

Connect

8 clients · secrets stay placeholders
{
  "mcpServers": {
    "agentstack-mcp": {
      "type": "http",
      "url": "https://agentstack-mcp.pages.dev/mcp"
    }
  }
}
claude mcp add --transport http agentstack-mcp https://agentstack-mcp.pages.dev/mcp
[mcp_servers.agentstack-mcp]
url = "https://agentstack-mcp.pages.dev/mcp"
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "agentstack-mcp": {
      "type": "remote",
      "url": "https://agentstack-mcp.pages.dev/mcp",
      "enabled": true
    }
  }
}
{
  "mcpServers": {
    "agentstack-mcp": {
      "type": "http",
      "url": "https://agentstack-mcp.pages.dev/mcp"
    }
  },
  "deeplink": "cursor://anysphere.cursor-deeplink/mcp/install?name=agentstack-mcp&config=eyJ0eXBlIjoiaHR0cCIsInVybCI6Imh0dHBzOi8vYWdlbnRzdGFjay1tY3AucGFnZXMuZGV2L21jcCJ9"
}
{
  "servers": {
    "agentstack-mcp": {
      "type": "http",
      "url": "https://agentstack-mcp.pages.dev/mcp"
    }
  }
}
{
  "mcpServers": {
    "agentstack-mcp": {
      "httpUrl": "https://agentstack-mcp.pages.dev/mcp"
    }
  }
}
extensions:
  "agentstack-mcp":
    enabled: true
    name: "agentstack-mcp"
    type: streamable_http
    uri: "https://agentstack-mcp.pages.dev/mcp"
    timeout: 300

Quality 83 / 100good

protocol75 · weight 25
  • warn
    protocol.modernnewest supported version is 2025-11-25; 2026-07-28 not supported, older versions are deprecated until 2027-07-28
  • n/a
    protocol.statelessonly applies to 2026-07-28 servers
  • pass
    protocol.transportstreamable HTTP
  • n/a
    protocol.list_ttlonly applies to 2026-07-28 servers
authorizationn/a · weight 15
  • n/a
    auth.prm, auth.as_metadata, auth.cimdno remote uses OAuth
  • n/a
    auth.secret_in_urlno templated URL
tool hygiene71 · weight 30
  • pass
    tools.descriptionsevery tool has a description
  • pass
    tools.description_lengthdescriptions are concise
  • pass
    tools.schemasevery tool has an object input schema
  • fail
    tools.annotationsno tool declares readOnlyHint or destructiveHint, so clients cannot tell safe calls from risky ones
  • fail
    tools.directory_hintsno tool declares all four of readOnlyHint, destructiveHint, idempotentHint and openWorldHint; missing: list_capabilities (readOnlyHint, destructiveHint, idempotentHint, openWorldHint); health_check (readOnlyHint, destructiveHint, idempotentHint, openWorldHint); decide_list_methods (readOnlyHint, destructiveHint, idempotentHint, openWorldHint); …
  • pass
    tools.token_costabout 2,579 tokens to load every tool
  • pass
    tools.api_dumptools are not a one-to-one API dump
stability100 · weight 15
  • pass
    stability.changesno tool changes in 30 days
  • pass
    stability.rug_pullno tool changed its meaning under the same name
dependencies100 · weight 15
  • pass
    deps.known_vulnsno known advisory in 2 resolved packages
  • n/a
    deps.mcp_sdk_versionthe official MCP SDK is not in the dependency graph
  • pass
    deps.resolvable[email protected] resolved: 2 packages

24 tools, about 2,579 tokens to load them all · tool set 0d9d82072e9c · checked 2026-10-19 11:27 UTC

Tool changes

No tool definition changes recorded. A server's first observation is its baseline; later probes record what changes.

Checks run on what our credential-free, read-only probes observe; tools are never called and no code audit is performed. How it is computed.

Trust 91 / 100

provenance80
liveness100
freshness85
hygiene100

+repository +namespace-matches-repo +reachable +uptime-100% ~updated-68d-ago

Derived from observable signals (official registry feed and our own credential-free probes); no code audit performed. How it is computed.

Dependencies

[email protected] npm1 dependencies, resolved · advisories checked 2026-10-19

No known advisory affects this dependency graph.

Dependency graphs from deps.dev; advisories from OSV.dev, including the GitHub Advisory Database and the PyPI Advisory Database; all CC BY 4.0. The graph is what a clean install of this version resolves today; nothing was installed or run. How it is checked.

Endpoints

remoteauthreachableuptime 30dp50protocollast ok
https://agentstack-mcp.pages.dev/mcp streamable-httpnoneyes100%148 ms2025-11-252026-10-19
packageregistryversionruntimesecrets
agentstack-mcpnpm1.0.1–

Tools (24)

calc_business_daysCOMPUTE. 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.
calc_compound_growthCOMPUTE. Compound-interest/growth math. operation: future_value | present_value | cagr. rate is annual decimal; compounding: daily|weekly|monthly|quarterly|semiannually|annually|continuous.
calc_currency_convertCOMPUTE. 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.
calc_depreciationCOMPUTE. Asset depreciation schedule. method: straight_line | declining_balance | sum_of_years_digits.
calc_irrCOMPUTE. Internal Rate of Return: per-period rate where NPV=0 (Newton + bisection). Requires a sign change in cashflows.
calc_list_metricsCOMPUTE. List every supported metric with descriptions and required/optional params. No parameters.
calc_loan_amortizationCOMPUTE. Level-payment loan: monthly payment, total interest, payoff, and (optional) full schedule.
calc_metricCOMPUTE. 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.
calc_npvCOMPUTE. Net Present Value (discounted cash flow). NPV = sum(CF_t/(1+rate)^t); cashflows[0] is period 0 (usually the negative outlay).
decideDECIDE. 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.
decide_compare_twoDECIDE. 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.
decide_list_methodsDECIDE. List the scoring methods (weighted_sum, weighted_product, topsis) with normalization details and when to use each. No parameters.
decide_scoreDECIDE. Return the full normalized scored matrix (per-option, per-criterion) + ranking when scores are supplied separately, without the winner narrative.
decide_sensitivityDECIDE. 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.
evaluate_options_with_scenariosCOMPOSITE (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.
health_checkAggregated health/status for the whole stack (all three engines + composites). No parameters.
list_capabilitiesDiscovery: 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.
plan_to_valuationCOMPOSITE (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.
sim_break_evenSIMULATE. Solve for the scenario input value required to make an output metric hit a target value (deterministic bisection). Requires 'template', 'solve_for', 'target_value'.
sim_compareSIMULATE. 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.
sim_list_templatesSIMULATE. List every scenario template (inputs, defaults, outputs) plus the custom-model format and period labels. No parameters.
sim_runSIMULATE. 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.
sim_sensitivitySIMULATE. 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').
stress_test_decisionCOMPOSITE (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}.

Schemas: list_tools.

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Official server.json
{
  "name": "io.github.inity13/agentstack-mcp",
  "$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
  "remotes": [
    {
      "url": "https://agentstack-mcp.pages.dev/mcp",
      "type": "streamable-http"
    }
  ],
  "version": "1.0.1",
  "packages": [
    {
      "version": "1.0.1",
      "transport": {
        "type": "stdio"
      },
      "identifier": "agentstack-mcp",
      "registryType": "npm"
    }
  ],
  "repository": {
    "url": "https://github.com/inity13/agentstack-mcp",
    "source": "github"
  },
  "description": "Deterministic reasoning stack for AI agents: simulate, decide & compute, plus cross-domain tools."
}