abm_lookalike_account_finder
As a CMO, discover 50 B2B accounts that closely match your top 10 customers' tech stacks and firmographics. This tool analyzes public web data including robots.txt and OpenGraph metadata to identify lookalike accounts for targeted ABM campaigns. Input your top customer domains and desired firmogr...
This record as markdown: /tools/io-github-getgapup-mcp-knowledge/abm-lookalike-account-finder.md
What abm_lookalike_account_finder does on Mcp Knowledge
AI agents call abm_lookalike_account_finder 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 |
tech_stack_keywords | array | — | Specific technologies to match in lookalike accounts |
firmographic_filters | object | — | |
top_customer_domains | array | Yes | List of top 10 customer domains to use as seed accounts |
Parameters from the server's own tool schema.
Why abm_lookalike_account_finder is rated Low
This tool queries and aggregates publicly available web metadata (robots.txt, OpenGraph) and returns analyzed results to support account discovery. It has no side effects on any system or data. The core function is discovery/search, which is a Read operation. No data is written, executed, or destroyed.
From the tool's definition Tool 'analyzes public web data including robots.txt and OpenGraph metadata to identify lookalike accounts' and 'receive a ranked list of potential targets' — purely retrieval and analysis of public information with no modification, deletion, or execution of…
Attacks that exploit this kind of access
The rule that runs abm_lookalike_account_finder 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 abm_lookalike_account_finder, this is the rule to start with:
abm_lookalike_account_finder 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 abm_lookalike_account_finder call is checked against it from then on.
Questions about abm_lookalike_account_finder
As a CMO, discover 50 B2B accounts that closely match your top 10 customers' tech stacks and firmographics. This tool analyzes public web data including robots.txt and OpenGraph metadata to identify lookalike accounts for targeted ABM campaigns. Input your top customer domains and desired firmographic filters to receive a ranked list of potential targets with matching technologies and company attributes. It is categorised as a Read tool in the Mcp Knowledge MCP Server, which means it retrieves data without modifying state.
abm_lookalike_account_finder accepts 4 parameters: async, tech_stack_keywords, firmographic_filters, top_customer_domains. Required: top_customer_domains. 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 abm_lookalike_account_finder: 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.
abm_lookalike_account_finder 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 abm_lookalike_account_finder 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 abm_lookalike_account_finder. 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.
abm_lookalike_account_finder 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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