cap_table_strategist
Stratège du cap table — Gapup agent-payable C-suite expertise (FUNDRAISING). Returns a structured, audited deliverable. Reference case: Aleph AI Series B — modèle dilution multi-rounds + simulations secondaires + hygiène equity · 5 scenarios. Inputs are validated server-side — send the documented...
This record as markdown: /tools/io-github-getgapup-gapup-mcp/cap-table-strategist.md
What cap_table_strategist does on Gapup Mcp
AI agents use cap_table_strategist to create or update resources in Gapup Mcp, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Gapup Mcp environment.
| 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 |
focus | string | — | |
company | object | Yes | |
plannedRounds | array | Yes | |
currentCapTable | object | Yes | |
founderObjectives | string | Yes |
Parameters from the server's own tool schema.
Why cap_table_strategist is rated Medium
This tool creates or modifies cap table models and equity dilution scenarios. While it does not execute actual financial transactions (excluding Financial), the outputs are formal, audited deliverables meant to guide fundraising decisions and cap table restructuring.
From the tool's definition 'cap_table_strategist' returns 'structured, audited deliverable' with 'modèle dilution multi-rounds + simulations secondaires' and manages equity dilution scenarios.
Risk signalsHigh parameter count (22 properties)
Attacks that exploit this kind of access
The rule that runs cap_table_strategist safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Gapup Mcp, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For cap_table_strategist, this is the rule to start with:
cap_table_strategist stays usable, but capped: an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Gapup Mcp, apply this rule, and every cap_table_strategist call is checked against it from then on.
Questions about cap_table_strategist
Stratège du cap table — Gapup agent-payable C-suite expertise (FUNDRAISING). Returns a structured, audited deliverable. Reference case: Aleph AI Series B — modèle dilution multi-rounds + simulations secondaires + hygiène equity · 5 scenarios. Inputs are validated server-side — send the documented case fields. It is categorised as a Write tool in the Gapup Mcp MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
cap_table_strategist accepts 6 parameters: async, focus, company, plannedRounds, currentCapTable, founderObjectives. Required: company, plannedRounds, currentCapTable, founderObjectives. The full parameter table on this page comes from the server's own tool schema.
Register the Gapup MCP server in PolicyLayer and add a rule for cap_table_strategist: 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 Gapup Mcp. Nothing to install.
cap_table_strategist is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the cap_table_strategist 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 cap_table_strategist. 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.
cap_table_strategist is provided by the Gapup MCP server (https://mcp.gapup.io/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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