treasury_optimizer
Optimiseur de trésorerie — Gapup agent-payable C-suite expertise (CFO). Returns a structured, audited deliverable. Reference case: Alan — Trésorerie €380M post-Série F · Allocation optimale 4 instruments · Yield +145bp · +€5.5M/an. Inputs are validated server-side — send the documented case fields.
This record as markdown: /tools/io-github-getgapup-mcp-knowledge/treasury-optimizer.md
What treasury_optimizer does on Mcp Knowledge
AI agents use treasury_optimizer to commit financial operations through Mcp Knowledge, usually the final step of a payment, billing, or trading workflow. A call moves real money.
| Parameter | Type | Required | Description |
|---|---|---|---|
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 |
company | object | Yes | |
horizon | string | — | |
constraints | object | Yes | |
cashPosition | object | Yes |
Parameters from the server's own tool schema.
Why treasury_optimizer is rated Critical
This tool explicitly performs treasury optimization involving capital allocation across financial instruments, yield management, and CFO-level financial decision-making. Misuse or erroneous recommendations could result in misallocation of hundreds of millions of euros, constituting a critical financial risk.
From the tool's definition Optimiseur de trésorerie — CFO-level treasury optimization, allocation of financial instruments, yield optimization (+145bp, +€5.5M/an), references €380M treasury allocation across 4 instruments
Risk signalsHigh parameter count (15 properties)
Attacks that exploit this kind of access
The rule that runs treasury_optimizer 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 treasury_optimizer, this is the rule to start with:
Any call to treasury_optimizer is blocked until a human approves it. The rest of the server keeps working.
The button opens the PolicyLayer dashboard: create your workspace, connect Mcp Knowledge, apply this rule, and every treasury_optimizer call is checked against it from then on.
Questions about treasury_optimizer
Optimiseur de trésorerie — Gapup agent-payable C-suite expertise (CFO). Returns a structured, audited deliverable. Reference case: Alan — Trésorerie €380M post-Série F · Allocation optimale 4 instruments · Yield +145bp · +€5.5M/an. Inputs are validated server-side — send the documented case fields. It is categorised as a Financial tool in the Mcp Knowledge MCP Server, which means it involves financial transactions. Block by default and require explicit approval.
treasury_optimizer accepts 5 parameters: async, company, horizon, constraints, cashPosition. Required: company, constraints, cashPosition. The full parameter table on this page comes from the server's own tool schema.
Register the Mcp Knowledge MCP server in PolicyLayer and add a rule for treasury_optimizer: 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.
treasury_optimizer is a Financial tool with critical risk. Critical-risk tools should be blocked by default and only enabled with explicit human approval.
Yes. Add a rate_limit block to the treasury_optimizer 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.
Set action: deny in the PolicyLayer policy for treasury_optimizer. 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.
treasury_optimizer 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.
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