kyc_screener_batch
Async batch variant of kyc_screener. Accepts 1-100 names and returns immediately (<300ms) with a job_id. The screening runs in the background (up to 10 parallel KYC calls). Poll the result with kyc_screener_batch_result(job_id) after the eta_seconds hint. Each entry can specify name, type (person...
This record as markdown: /tools/io-github-getgapup-mcp-knowledge/kyc-screener-batch.md
What kyc_screener_batch does on Mcp Knowledge
AI agents call kyc_screener_batch 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 |
names | array | Yes | List of entities to screen (1-100). Each entry requires at minimum a name. |
Parameters from the server's own tool schema.
Why kyc_screener_batch is rated Low
This tool retrieves compliance screening data and returns results; it does not create, modify, delete, or execute arbitrary code. It is categorized as Read because it queries existing KYC/AML databases to obtain screening information.
From the tool's definition The tool performs KYC (Know Your Customer) screening and AML (Anti-Money Laundering) checks by accepting names, types, and birthdates and returning screening results.
Attacks that exploit this kind of access
The rule that runs kyc_screener_batch 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 kyc_screener_batch, this is the rule to start with:
kyc_screener_batch 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 kyc_screener_batch call is checked against it from then on.
Questions about kyc_screener_batch
Async batch variant of kyc_screener. Accepts 1-100 names and returns immediately (<300ms) with a job_id. The screening runs in the background (up to 10 parallel KYC calls). Poll the result with kyc_screener_batch_result(job_id) after the eta_seconds hint. Each entry can specify name, type (person/company/any), and an optional birthdate hint. Use for bulk client onboarding, UBO list screening, or periodic AML refresh batches. Async tool — register a webhook via webhooks_manage(register, url, [job.completed]) to receive callbacks instead of polling. Faster + lighter. It is categorised as a Read tool in the Mcp Knowledge MCP Server, which means it retrieves data without modifying state.
kyc_screener_batch accepts 2 parameters: async, names. Required: names. 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 kyc_screener_batch: 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.
kyc_screener_batch 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 kyc_screener_batch 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 kyc_screener_batch. 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.
kyc_screener_batch 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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