io.github.inity13/agentstack-mcp
up checked
Unclaimed · Unverified
Agent searches it appeared in, last 30 days: 0. Run this server? Claim the listing: verified label, uptime alerts and analytics.
Publisher-provided description
Deterministic reasoning stack for AI agents: simulate, decide & compute, plus cross-domain tools.
Summary by lookupd
Runs deterministic financial calculations, scenario simulations, and weighted decision ranking for agents; no external data access is…
Install
Claude Code, remote (streamable-http)
claude mcp add --transport http agentstack https://agentstack-mcp.pages.dev/mcp
Claude Code, npm package (stdio)
claude mcp add agentstack -- npx -y agentstack-mcp
Codex, remote (streamable-http)
codex mcp add agentstack --url https://agentstack-mcp.pages.dev/mcp
Codex, npm package (stdio)
codex mcp add agentstack -- npx -y agentstack-mcp
Cursor, remote (streamable-http) → .cursor/mcp.json
{
"mcpServers": {
"agentstack": {
"url": "https://agentstack-mcp.pages.dev/mcp"
}
}
}Cursor, npm package (stdio) → .cursor/mcp.json
{
"mcpServers": {
"agentstack": {
"command": "npx",
"args": [
"-y",
"agentstack-mcp"
]
}
}
}Other clients: docs. Or tell your agent: Set up lookupd for me: read https://lookupd.com/agent.md and follow it.
Tools (24 tools)
Publisher-provided text
list_capabilitiesDiscovery: the three namespaces (sim_*, decide_*, calc_*), the cross-domain composite tools, the available ?profile= filters, and links to the standalone serverhealth_checkAggregated health/status for the whole stack (all three engines + composites). 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,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 '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', '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 asim_list_templatesSIMULATE. List every scenario template (inputs, defaults, outputs) plus the custom-model format and period labels. No parameters.decideDECIDE. Rank named options against weighted criteria and return the winner, full ranking, per-criterion breakdowns, methodology, weights, and an explanation. Prdecide_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 weightdecide_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), criteriadecide_list_methodsDECIDE. List the scoring methods (weighted_sum, weighted_product, topsis) with normalization details and when to use each. No parameters.calc_metricCOMPUTE. Exact business/SaaS/finance metric: ltv, cac, ltv_cac_ratio, payback_period_months, contribution_margin, gross_margin, churn_rate, mrr_growth_rate, arrcalc_list_metricsCOMPUTE. List every supported metric with descriptions and required/optional params. No parameters.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/historicalcalc_business_daysCOMPUTE. Business-day arithmetic honoring weekends + regional holidays. operation: add_business_days | count_business_days | next_business_day | previous_businecalc_compound_growthCOMPUTE. Compound-interest/growth math. operation: future_value | present_value | cagr. rate is annual decimal; compounding: daily|weekly|monthly|quarterly|semicalc_npvCOMPUTE. Net Present Value (discounted cash flow). NPV = sum(CF_t/(1+rate)^t); cashflows[0] is period 0 (usually the negative outlay).calc_irrCOMPUTE. Internal Rate of Return: per-period rate where NPV=0 (Newton + bisection). Requires a sign change in cashflows.calc_loan_amortizationCOMPUTE. Level-payment loan: monthly payment, total interest, payoff, and (optional) full schedule.calc_depreciationCOMPUTE. Asset depreciation schedule. method: straight_line | declining_balance | sum_of_years_digits.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 vaevaluate_options_with_scenariosCOMPOSITE (simulate -> decide). Project each option as its own scenario, then rank the options against weighted criteria drawn from the scenario OUTCOMES. Provistress_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
Details
- Version: 1.0.1
- Transports: streamable-http, stdio
- Uptime (7 days): 100%
- Median latency: 222 ms
- First indexed:
- Last seen in registry:
- Repository: https://github.com/inity13/agentstack-mcp
Badge for your README
Shows this live status and links here; updates hourly.
[](https://lookupd.com/servers/io.github.inity13/agentstack-mcp)
- 62071 servers
- Last crawl: 2026-11-11T16:39:06.253Z
- API base:
https://api.lookupd.com - MCP URL:
https://api.lookupd.com/mcp