AgentStack MCP
One deterministic reasoning stack behind a single MCP endpoint, chaining scenario simulation, decision analysis, and precision computation with 40-digit decimal math.
README
AgentStack MCP
One deterministic reasoning stack for AI agents — behind a single Model Context Protocol (MCP) endpoint and one API key:
simulate (ScenarioSim) → decide (DecisionMatrix) → compute (PrecisionCalc)
plus cross-domain composite tools that chain the three. Every number runs
through decimal.js at 40-digit precision
(never floats), so identical inputs always produce byte-identical output.
The server is stateless — no database, no sessions.
AgentStack bundles three standalone MCP servers so an agent installs one server, uses one key, and can run reasoning that spans all three domains. It imports the same engines directly (no HTTP proxying) — zero added latency, no cascading failure.
🌐 Live hosted server (free, no install)
https://agentstack-mcp.pages.dev/mcp
{ "mcpServers": { "agentstack": {
"type": "http", "url": "https://agentstack-mcp.pages.dev/mcp" } } }
Free tier: no key, 20 calls/day per IP. Paid plans (Starter $19/mo · 8,000/day,
Pro $59/mo · 80,000/day) return an API key sent as X-API-Key. One key covers
all three products and the composites — about half the cost of subscribing to them
separately. Landing page: https://agentstack-mcp.pages.dev.
The three namespaces (24 tools)
| namespace | engine | tools |
|---|---|---|
sim_* |
ScenarioSim — what-if / scenario simulation | sim_run, sim_sensitivity, sim_break_even, sim_compare, sim_list_templates |
decide_* |
DecisionMatrix — multi-criteria decision analysis | decide, decide_score, decide_sensitivity, decide_compare_two, decide_list_methods |
calc_* |
PrecisionCalc — exact finance/business math | calc_metric, calc_list_metrics, calc_currency_convert, calc_business_days, calc_compound_growth, calc_npv, calc_irr, calc_loan_amortization, calc_depreciation |
| meta | — | list_capabilities, health_check |
Note on two deliberately-namespaced collisions:
sim_sensitivityvaries scenario inputs;decide_sensitivityvaries criteria weights. They are different operations — the prefix disambiguates them for the agent.
Composite tools — the reason to use the stack
Deterministic end-to-end; each chains engines that no single server bundles:
| Tool | Pipeline | What it does |
|---|---|---|
plan_to_valuation |
simulate → compute | Project a scenario, take a per-period cash-flow line (cashflow_metric), and value it: NPV at a discount rate, IRR, undiscounted total. initial_investment becomes the period-0 outflow (needed for IRR). |
evaluate_options_with_scenarios |
simulate → decide | Project each option as its own scenario, then rank the options against weighted criteria drawn from the scenario outcomes (key_results). |
stress_test_decision |
simulate × decide | Stress one scenario assumption across every option and report how often the baseline winner survives (robustness) and where it flips. |
Composite responses report the pipeline they ran and carry each stage's
structured output, so an agent can drill into any step.
Profiles — fight tool-selection noise
Append ?profile= to the endpoint to load only a subset:
| profile | tools |
|---|---|
all (default) |
every tool (24) |
finance |
calc_* + plan_to_valuation + meta |
decision |
decide_* + evaluate_options_with_scenarios + stress_test_decision + meta |
simulation |
sim_* + all composites + meta |
{ "mcpServers": { "agentstack": {
"url": "https://agentstack-mcp.pages.dev/mcp?profile=finance" } } }
Response envelope
Namespaced tools return the exact envelope of their underlying product. Composite
tools add composite, pipeline, per-stage blocks, methodology, notes, and a
plain-language explanation. Errors are always structured data:
{ "status": "error", "error": { "type": "unknown_metric", "message": "...", "hint": "..." } }
Example — plan_to_valuation (trimmed):
{
"status": "success",
"composite": "plan_to_valuation",
"pipeline": ["scenariosim.run_scenario", "precisioncalc.net_present_value", "precisioncalc.internal_rate_of_return"],
"scenario": { "template": "saas_growth", "horizon": 12, "key_results": { "ending_mrr": 26982.1 } },
"cashflow_metric": "mrr",
"cashflows": [-150000, 14040, 15600, "..."],
"valuation": { "discount_rate": 0.01, "npv": 11157.386023, "irr": 0.02504, "value_creating": true },
"explanation": "Projecting 'saas_growth' over 12 month(s) and valuing the 'mrr' stream at 1%/period gives an NPV of ..."
}
Project structure
agentstack-mcp/
├── worker-src/
│ ├── index.mjs # Cloudflare Pages Function: MCP transport, namespacing, profiles, billing
│ ├── composites.mjs # the 3 cross-domain tools (simulate -> decide -> compute)
│ ├── billing.mjs # Stripe + KV: one key / one quota for the whole stack
│ └── engines/ # vendored, unmodified product engines (100% deterministic)
│ ├── scenariosim.mjs
│ ├── decisionmatrix.mjs
│ └── precisioncalc.mjs
├── server.mjs # local stdio MCP server (same engines + composites; AGENTSTACK_PROFILE env)
├── site/ # landing page + mcp.json + llms.txt + _worker.js (built)
├── tests/composites.test.mjs
├── examples/agent_example.mjs
├── scripts/sync-engines.sh # re-vendor engines from the sibling repos
├── package.json · wrangler.toml · server.json · smithery.yaml · Dockerfile · LICENSE
└── README.md
Why vendor the engines? So this repo is self-contained and reproducible. The
engines are the same deterministic modules that power the three standalone
servers; npm run sync-engines re-copies them from the sibling repos when an
upstream change lands.
Run it locally
git clone <your-fork> agentstack-mcp && cd agentstack-mcp
npm install
npm test # composite-logic tests (no network)
npm run dev # -> http://127.0.0.1:8788/mcp
node examples/agent_example.mjs # hosted demo
node examples/agent_example.mjs http://127.0.0.1:8788
node server.mjs # dependency-light stdio server (AGENTSTACK_PROFILE=finance to subset)
Quick manual call:
curl -s http://127.0.0.1:8788/mcp \
-H 'content-type: application/json' -H 'accept: application/json, text/event-stream' \
-d '{"jsonrpc":"2.0","id":1,"method":"tools/call","params":{"name":"list_capabilities","arguments":{}}}'
Client configuration
Cursor — ~/.cursor/mcp.json
{ "mcpServers": { "agentstack": { "url": "https://agentstack-mcp.pages.dev/mcp" } } }
Claude Desktop — claude_desktop_config.json (via mcp-remote)
{ "mcpServers": { "agentstack": { "command": "npx", "args": ["-y", "mcp-remote", "https://agentstack-mcp.pages.dev/mcp"] } } }
VS Code — .vscode/mcp.json
{ "servers": { "agentstack": { "type": "http", "url": "https://agentstack-mcp.pages.dev/mcp" } } }
Windsurf — ~/.codeium/windsurf/mcp_config.json
{ "mcpServers": { "agentstack": { "serverUrl": "https://agentstack-mcp.pages.dev/mcp" } } }
Add "headers": { "X-API-Key": "ssak_live_..." } once you have a key.
Example composite payloads
Rank growth strategies on their projected outcomes:
{ "name": "evaluate_options_with_scenarios", "arguments": {
"template": "saas_growth", "horizon": 12,
"options": [
{ "name": "Aggressive", "inputs": { "new_customers_per_period": 60, "churn_rate": 0.05 } },
{ "name": "Lean", "inputs": { "new_customers_per_period": 20, "churn_rate": 0.02 } }
],
"criteria": [
{ "metric": "ending_mrr", "weight": 3, "direction": "benefit" },
{ "metric": "total_churned_customers", "weight": 1, "direction": "cost" }
]
} }
Value a plan's MRR stream:
{ "name": "plan_to_valuation", "arguments": {
"template": "saas_growth", "horizon": 12,
"inputs": { "new_customers_per_period": 60, "churn_rate": 0.05, "arpu": 60 },
"cashflow_metric": "mrr", "rate": 0.01, "initial_investment": 150000
} }
Stress-test the decision:
{ "name": "stress_test_decision", "arguments": {
"template": "saas_growth", "horizon": 12,
"options": [ { "name": "Aggressive", "inputs": { "churn_rate": 0.05 } },
{ "name": "Lean", "inputs": { "churn_rate": 0.02 } } ],
"criteria": [ { "metric": "ending_mrr", "weight": 3 } ],
"stress": { "variable": "churn_rate", "variation": 0.5, "steps": 5 }
} }
Deploy on Cloudflare Pages
npm install
npx wrangler login
npm run deploy # esbuild -> site/_worker.js, then wrangler pages deploy
Runs fully free / private with no bindings or secrets (fails open on the free
tier). For billing: bind a KV namespace AGENTSTACK_KV, set PRICE_STARTER /
PRICE_PRO in [vars], and add Stripe secrets:
wrangler pages secret put STRIPE_SECRET_KEY --project-name agentstack-mcp
wrangler pages secret put STRIPE_WEBHOOK_SECRET --project-name agentstack-mcp
Routes: /mcp (Streamable HTTP), /checkout, /success, /portal, /webhook, /metrics.
Auth & rate limiting
Enforced in worker-src/billing.mjs: identify() reads X-API-Key /
Authorization: Bearer and falls back to per-IP free tier; consumeQuota() is a
KV daily counter (the single gating point). One key / one quota spans the whole
stack. Marked NOTE (auth) / NOTE (rate limiting) seams show where to swap in
JWT/mTLS or a token-bucket. None of it touches the deterministic math.
Relationship to the standalone servers
AgentStack is additive, not a replacement. The three products keep running on their own for single-domain use:
- ScenarioSim — https://scenariosim-mcp.pages.dev/mcp
- DecisionMatrix — https://decisionmatrix-mcp.pages.dev/mcp
- PrecisionCalc — https://precisioncalc-mcp.pages.dev/mcp
License
MIT — see LICENSE.
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