vendor_risk_assessor
Évaluateur de risque fournisseurs — Gapup agent-payable C-suite expertise (RISK). Returns a structured, audited deliverable. Reference case: Gapup Hub — 15 fournisseurs · €1.8M spend · 3 critiques · Heatmap + plan de remédiation. Inputs are validated server-side — send the documented case fields.
This record as markdown: /tools/io-github-getgapup-mcp-knowledge/vendor-risk-assessor.md
What vendor_risk_assessor does on Mcp Knowledge
AI agents call vendor_risk_assessor 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 |
company | object | Yes | |
vendors | array | Yes | |
riskFramework | array | — | |
assessmentPurpose | string | — |
Parameters from the server's own tool schema.
Why vendor_risk_assessor is rated Low
The tool performs vendor risk assessment and returns a structured report (heatmap and remediation plan). This is fundamentally a read/analysis operation — it evaluates and retrieves risk intelligence rather than executing actions, modifying data, or moving money.
From the tool's definition Évaluateur de risque fournisseurs — Returns a structured, audited deliverable... Heatmap + plan de remédiation
Risk signalsHigh parameter count (18 properties)
Attacks that exploit this kind of access
The rule that runs vendor_risk_assessor 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 vendor_risk_assessor, this is the rule to start with:
vendor_risk_assessor 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 vendor_risk_assessor call is checked against it from then on.
Questions about vendor_risk_assessor
Évaluateur de risque fournisseurs — Gapup agent-payable C-suite expertise (RISK). Returns a structured, audited deliverable. Reference case: Gapup Hub — 15 fournisseurs · €1.8M spend · 3 critiques · Heatmap + plan de remédiation. 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.
vendor_risk_assessor accepts 5 parameters: async, company, vendors, riskFramework, assessmentPurpose. Required: company, vendors. 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 vendor_risk_assessor: 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.
vendor_risk_assessor 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 vendor_risk_assessor 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 vendor_risk_assessor. 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.
vendor_risk_assessor 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