ZoomInfo 市场情报 MCP 插件

ZoomInfo MCP Plugin 是一个市场情报 MCP 插件,将 ZoomInfo 的企业与联系人数据接入 LLM 客户端,用于销售、营销和收入团队进行客户调研、线索优先级排序和拓展准备。

  • by Zoominfo
  • JavaScript
  • 本地部署
  • 9 星标
  • 更新于
在 GitHub 查看 Zoominfo/zoominfo-mcp-plugin

使用说明

ZoomInfo MCP Plugin

Use ZoomInfo go-to-market intelligence from LLM clients that support MCP servers, plugin manifests, and/or skills.

This repo packages ZoomInfo's hosted MCP server with client-specific plugin metadata and task-focused skills for sales, marketing, and revenue workflows. It is intended to work across supported LLM clients rather than being tied to a single provider.

What It Enables

  • Find companies, contacts, and buying committee members
  • Enrich account, lead, and contact records with business information
  • Build targeted account and contact lists
  • Identify similar companies, similar contacts, and recommended contacts
  • Research accounts, competitors, markets, intent signals, and technology stacks
  • Prepare for sales calls, prioritize inbound leads, and personalize outreach
  • Size TAM and refine ICP or territory filters

Try Asking

  • "Help me prepare for a meeting with Apple's VP of Marketing this afternoon."
  • "Build me a list of SaaS companies in the UK with 200-500 employees using Salesforce."
  • "Find companies showing high buyer intent on data observability in the last 30 days."

Prerequisites

  • An LLM client or agent environment that supports MCP and/or local plugin manifests
  • A ZoomInfo account with the appropriate API access and product entitlements

MCP Server

The plugin registers ZoomInfo's hosted MCP server (https://mcp.zoominfo.com/mcp). Authentication is handled through your ZoomInfo account via OAuth — no API keys are stored in this repo. Clients connect over HTTP and complete the OAuth flow natively. All clients share the registration defined in .mcp.json:

{
  "mcpServers": {
    "zoominfo": {
      "type": "http",
      "url": "https://mcp.zoominfo.com/mcp"
    }
  }
}

Client Support

This repository includes metadata for multiple plugin-capable client environments:

Path Purpose
.mcp.json MCP server registration (all clients)
.codex-plugin/plugin.json Codex/OpenAI plugin metadata
.claude-plugin/plugin.json Claude plugin metadata
.claude-plugin/marketplace.json Claude marketplace metadata
.cursor-plugin/plugin.json Cursor plugin metadata
.cursor-plugin/marketplace.json Cursor marketplace metadata
skills/ Task-specific workflows usable by clients that support skills

Install or register the plugin according to your client's plugin or MCP workflow. For local development, clone this repository and point your client at the repo root or relevant manifest path.

git clone https://github.com/Zoominfo/zoominfo-mcp-plugin.git

Skills

Skills are task-focused playbooks the agent follows to return structured outputs (briefs, tables, scores, emails) instead of raw tool JSON. Trigger them with /skill-name or plain language ("prep me for a meeting with Acme"); the agent can also select the right skill automatically when your request matches.

Skill Description
account-research Produce an account intelligence brief with firmographics, relationship context, intent, news, and next actions
build-list Build targeted account or contact lists from natural-language criteria
buying-committee Map decision-makers, influencers, champions, and coverage gaps at a target account
competitor-analysis Create fact-led competitor briefs using ZoomInfo data plus public context
enrich-company Look up company profiles, firmographics, financials, structure, and growth signals
enrich-contact Look up professional contact profiles, title, department, contact data, and accuracy signals
find-similar Find lookalike companies or contacts based on a reference account or person
meeting-prep Prepare for upcoming calls with account, attendee, relationship, and talking-point context
personalize-email Draft outreach grounded in account, contact, intent, and trigger signals
recommend-contacts Get AI-ranked contact recommendations at a target company
score-accounts Prioritize accounts by ICP fit, intent, trigger signals, and explainable scoring
score-leads Rank inbound leads by fit, urgency, verified contact data, and recommended action
tam-sizer Size a market or territory and produce a reusable ICP filter set
tech-stack-snapshot Summarize detected technologies, displacement angles, and integration plays

Project Structure

.claude-plugin/
  plugin.json
  marketplace.json
.codex-plugin/
  plugin.json
.cursor-plugin/
  plugin.json
  marketplace.json
.mcp.json            # MCP server registration (all clients)
assets/
  zoominfo-logo.svg
  zoominfo-logo-dark.svg
  zoominfo-logomark-red.svg
skills/
  */SKILL.md
LICENSE

License

MIT