Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add Zoominfo/zoominfo-mcp-plugin --skill find-similargit clone --depth 1 https://github.com/Zoominfo/zoominfo-mcp-pluginWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/zoominfo/zoominfo-mcp-plugin/find-similar)<a href="https://agentmods.dev/skills/zoominfo/zoominfo-mcp-plugin/find-similar"><img src="https://agentmods.dev/badge/skills/zoominfo/zoominfo-mcp-plugin/find-similar/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/zoominfo/zoominfo-mcp-plugin/find-similar"><img src="https://agentmods.dev/badge/skills/zoominfo/zoominfo-mcp-plugin/find-similar.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00060 | $0.01213 |
| Opus 5 | $0.00030 | $0.00607 |
| Sonnet 5 | $0.00012 | $0.00243 |
| Haiku 4.5 | $0.00006 | $0.00121 |
Grade A, and why
find-similar scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 11d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 97 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Find Similar
Find companies or contacts similar to a reference entity using ZoomInfo's ML-powered similarity model.
Input
The user will provide via $ARGUMENTS:
- For companies: a company name, domain, or ZoomInfo company ID
- For contacts: a person's name and company (e.g., "Jane Smith at Acme Corp"), email address, or ZoomInfo person ID
- Optionally: a target company to scope results to (e.g., "at Microsoft" or "within Salesforce")
- Optionally: how many results they want (defaults to 25, max 100)
Determine whether the user is looking for similar companies or contacts based on what they provide, then follow the appropriate workflow below.
Company Workflow
-
Lookup metadata first — before calling any other MCP tool, use
lookupto load reference data for any fields relevant to the request. Use the returnedidvalues (not display names) in all subsequent API calls. -
Find similar companies using
find_similar_companies. This returns up to 100 results ranked by similarity score.- If you have a ZoomInfo company ID, pass
companyId. - If you only have a company name, pass
companyName— the API can resolve it directly.
- If you have a ZoomInfo company ID, pass
Company Output Format
Similar companies to [Reference Company Name]:
| Rank | Company | Industry | Employees | Revenue | Country | Similarity Score |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| ... |
Show the top 25 by default. If the user asks for more, show up to 100.
After the table:
- Note the total number of similar companies returned
- Call out any patterns (e.g., "heavily weighted toward mid-market SaaS in North America")
- Suggest next steps: use
/zoominfo:enrich-companyto get full details on any result, or/zoominfo:find-buyersto identify contacts at a target
Contact Workflow
- Lookup metadata first — before calling any other MCP tool, use
lookupto load reference data for fields relevant to interpreting the results:lookupwithfields: [{"fieldName": "management-levels"}, {"fieldName": "departments"}, {"fieldName": "job-functions"}]- Use the returned
idvalues (not display names) in all subsequent API calls and for categorizing results.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 11d ago First seen · 97 lines · 60 tokens per session scan A 41c06c4d555d
find-similar is a skill published in the GitHub repository Zoominfo/zoominfo-mcp-plugin (7 stars, last pushed 7d ago), licensed MIT. It adds 60 tokens to every session and 1,213 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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