financial_model_3statement

SERVERMcp Knowledge SOURCEhttps://mcp.gapup.io

High RISK CLASS

Category Execute

Parameters 52 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/io-github-getgapup-mcp-knowledge/financial-model-3statement.md

WHAT IT DOES

What financial_model_3statement does on Mcp Knowledge

AI agents invoke financial_model_3statement to trigger actions in Mcp Knowledge. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call: builds kicked off, notifications sent, workflows started.

Parameter	Type	Required	Description
`mode`	string	Yes	build = full 3-statement model \| scenario_analysis = base/bull/bear \| sensitivity = 1 KPI × 1 input
`async`	boolean	—	If true, returns a job_id immediately (<200ms) instead of waiting for the result. Poll the result with job_result(job_id). Use for slow tools to avoid client ti
`assumptions`	object	Yes	Financial assumptions for the model
`sensitivity_kpi`	string	—	KPI to observe in sensitivity mode.
`sensitivity_input`	string	—	Assumption param to vary in sensitivity mode. E.g. 'growth_rates_pct[0]' or 'cogs_pct_of_revenue'.

Parameters from the server's own tool schema.

RISK

Why financial_model_3statement is rated High

This tool runs complex financial computations and projections from user-supplied assumptions, producing integrated models and DCF valuations. It does not move money or commit financial obligations (so not Financial), nor does it read existing data or write/delete persistent records. It executes a computational process whose outputs depend heavily on the arguments provided, placing it in the Execute category.

From the tool's definition Pure-compute 3-statement financial model builder... Feed assumptions → receive a full 3-5 year projection with integrated DCF valuation... Modes: build (full 3-statement model) | scenario_analysis | sensitivity... all computed from assumptions

Risk signalsHigh parameter count (18 properties)

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs financial_model_3statement safely

PolicyLayer is an MCP gateway: it sits between your AI agents and Mcp Knowledge, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For financial_model_3statement, this is the rule to start with:

financial_model_3statement Rate-limited

financial_model_3statement stays usable, but rate-capped: a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "financial_model_3statement": {
      "limits": [
        {
          "counter": "financial_model_3statement_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

RATE-LIMIT THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect Mcp Knowledge, apply this rule, and every financial_model_3statement call is checked against it from then on.

FAQ

Questions about financial_model_3statement

What does the financial_model_3statement tool do? +

Pure-compute 3-statement financial model builder (Income Statement + Balance Sheet + Cash Flow). Feed assumptions (revenue growth, COGS%, OpEx, CapEx, working capital, tax rate, depreciation, debt schedule) → receive a full 3-5 year projection with integrated DCF valuation. Supports IFRS / US_GAAP / PRC_GAAP (中国会计准则) norms with bilingual ZH+EN labels for PRC. Modes: build (full 3-statement model) | scenario_analysis (base/bull/bear ±20% growth) | sensitivity (1 KPI × 1 input, 5-point grid). No external data needed — all computed from assumptions. ICP: VC due diligence, M&A analysts, CFO SMB, startup founders pitching investors, biotech/SaaS modeling. Returns balance_check_ok per year, DCF enterprise/equity value, and coherence warnings. It is categorised as a Execute tool in the Mcp Knowledge MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

What parameters does financial_model_3statement accept? +

financial_model_3statement accepts 5 parameters: mode, async, assumptions, sensitivity_kpi, sensitivity_input. Required: mode, assumptions. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on financial_model_3statement? +

Register the Mcp Knowledge MCP server in PolicyLayer and add a rule for financial_model_3statement: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Mcp Knowledge. Nothing to install.

What risk level is financial_model_3statement? +

financial_model_3statement is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit financial_model_3statement? +

Yes. Add a rate_limit block to the financial_model_3statement rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.

How do I block financial_model_3statement completely? +

Set action: deny in the PolicyLayer policy for financial_model_3statement. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.

What MCP server provides financial_model_3statement? +

financial_model_3statement is provided by the Mcp Knowledge MCP server (https://mcp.gapup.io). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

KEEP EXPLORING

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