investor_list
Liste d'investisseurs + warm intros — Gapup agent-payable C-suite expertise (FUNDRAISING). Returns a structured, audited deliverable. Reference case: Agicap Série D — 25 VCs matchés · Tier A: Balderton/Accel/Partech · Warm intro path chaque investisseur. Inputs are validated server-side — send th...
This record as markdown: /tools/io-github-getgapup-mcp-knowledge/investor-list.md
What investor_list does on Mcp Knowledge
AI agents call investor_list to retrieve information from Mcp Knowledge without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
| 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 |
round | object | Yes | |
company | object | Yes | |
existingInvestors | array | — |
Parameters from the server's own tool schema.
Why investor_list is rated Low
This is fundamentally a data retrieval tool that queries and returns structured investor information and introduction pathways. While the context (fundraising, C-suite access) suggests the data is valuable and sensitive, the tool itself performs no side effects—it reads and presents existing data. The 'warm intro' feature is informational guidance, not an active operation that modifies state or commits resources.
From the tool's definition Tool returns 'a structured, audited deliverable' of investor information and warm introduction paths. The description indicates it 'returns' data (passive retrieval) rather than creating, modifying, deleting, or executing operations.
Risk signalsHigh parameter count (12 properties)
Attacks that exploit this kind of access
The rule that runs investor_list 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 investor_list, this is the rule to start with:
investor_list is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Mcp Knowledge, apply this rule, and every investor_list call is checked against it from then on.
Questions about investor_list
Liste d'investisseurs + warm intros — Gapup agent-payable C-suite expertise (FUNDRAISING). Returns a structured, audited deliverable. Reference case: Agicap Série D — 25 VCs matchés · Tier A: Balderton/Accel/Partech · Warm intro path chaque investisseur. Inputs are validated server-side — send the documented case fields. It is categorised as a Read tool in the Mcp Knowledge MCP Server, which means it retrieves data without modifying state.
investor_list accepts 4 parameters: async, round, company, existingInvestors. Required: round, company. 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 investor_list: 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.
investor_list is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the investor_list 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 investor_list. 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.
investor_list 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.
More on Mcp Knowledge, and thousands of servers like it.
This server
Across the catalogue