Zoominfo Plugin MCP Server
Access ZoomInfo intelligence for lead enrichment and sales outreach in AI tools.
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Overview
This repository provides the configuration and bridging metadata to connect LLM clients to ZoomInfo's hosted MCP server. It enables AI assistants to perform go-to-market tasks, including searching for companies and contacts, enriching lead records, and analyzing buying intent signals. The server supports multiple integration styles, using either direct HTTP for standard MCP clients or a local Node.js-based stdio bridge via mcp-remote for clients requiring browser-based OAuth authentication. Users can leverage these integrations to research accounts, build contact lists, and prepare for sales calls directly within their AI workflow.
Our verdict
This server carries a high-risk score of 40/100, primarily because it is community-maintained and has not yet undergone an editorial or security review. Furthermore, the authentication method and read-only status remain unverified by external parties, and the lack of a project homepage limits visibility into long-term maintenance. Organizations should evaluate the potential data exposure risks of connecting their ZoomInfo credentials before deployment.
- Supports direct HTTP and local stdio bridging
- Zero direct dependencies minimize supply-chain surface area
- Uses OAuth for authentication rather than storing static API keys
- High-risk security score due to lack of editorial review
- Not maintained by the official ZoomInfo organization
- Authentication and read-only implementation have not been audited
Tools
| Tool | Description | Risk |
|---|---|---|
| account-research | Produce an account intelligence brief with firmographics, relationship context, intent, news, and next actions | low |
| build-list | Build targeted account or contact lists from natural-language criteria | low |
| buying-committee | Map decision-makers, influencers, champions, and coverage gaps at a target account | low |
| competitor-analysis | Create fact-led competitor briefs using ZoomInfo data plus public context | low |
| enrich-company | Look up company profiles, firmographics, financials, structure, and growth signals | low |
| enrich-contact | Look up professional contact profiles, title, department, contact data, and accuracy signals | low |
| find-similar | Find lookalike companies or contacts based on a reference account or person | low |
| meeting-prep | Prepare for upcoming calls with account, attendee, relationship, and talking-point context | low |
| personalize-email | Draft outreach grounded in account, contact, intent, and trigger signals | low |
| recommend-contacts | Get AI-ranked contact recommendations at a target company | low |
Compatibility
| Client | Local | Docker | Remote | Read-only |
|---|---|---|---|---|
| Claude Desktop | ||||
| Cursor | ||||
| VS Code | ||||
| Windsurf | ||||
| ChatGPT |
Frequently asked questions
›What are the prerequisites to use the ZoomInfo MCP server?
You need an LLM client or agent environment that supports MCP or local plugin manifests, along with a ZoomInfo account that has appropriate API access and product entitlements.
›How do I authenticate with the ZoomInfo service?
Authentication is handled through your ZoomInfo account via OAuth, so no API keys are stored in the repository.
›Why does the registration method differ between clients like Claude and Cursor?
Direct HTTP registration is used for clients that can complete the OAuth handshake natively, while the mcp-remote stdio bridge is required for clients like Cursor to manage the local OAuth flow and token caching.
›What are the requirements for using the mcp-remote bridge?
The mcp-remote bridge requires Node.js installed on your local machine to run npx commands. Upon the first connection, it will open a browser to complete the ZoomInfo sign-in process.
›How do ZoomInfo skills work within the MCP server?
Skills are task-focused playbooks that guide the agent to return structured outputs like tables or briefs instead of raw JSON. They can be triggered by specific commands or invoked automatically by the agent based on your request.
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