Mcp Explorium

ai.explorium由 explorium.ai 發布官方發布者v1.0.1更新於 Oct 25, 2026

Access live company and contact data from Explorium's AgentSource B2B platform.

已驗證Streamable HTTP可網頁執行網頁搜尋與抓取商業與電商

概覽

AI 產生的概覽

Explorium 的遠端 MCP 伺服器讓助理取得即時 B2B 公司與聯絡人資料,用於搜尋、資料補齊和商業事件研究。

可以做什麼
依名稱、網域或企業 ID 比對與查詢公司,補齊企業概況與技術堆疊資訊,並追蹤募資、辦公地點變動、招募趨勢等商業事件。發掘公司內的專業人士與聯絡人,補齊聯絡方式、工作經歷和職業檔案,並追蹤職務異動與職涯里程碑。把數十個外部資料來源的結果帶入助理工作流程,用於潛在客戶研究、名單篩選與外聯撰寫。
適用情境
適合業務、招募或合作研究情境,讓助理不必離開對話就能查找公司、找出合適聯絡人並蒐集企業概況或職涯資訊。也適合回答某公司的業務挑戰、技術堆疊或近期動態等問題。
執行需求
透過 Streamable HTTP 存取的遠端 MCP 端點(文件也提供 SSE 與本機 npx mcp-remote 橋接方式)。清單宣告需要 OAuth 驗證。README 說明遠端連線不需 API 金鑰,而 Docker 自架需要 API_ACCESS_TOKEN 環境變數。需要能連線到 Explorium 代管伺服器的網路。
安裝前請注意
此伺服器會回傳電子郵件、電話、工作經歷等個人聯絡資料,應依適用的隱私法規處理。遠端連線以 OAuth 驗證;Docker 方式需要 API_ACCESS_TOKEN 密鑰,應避免寫入共用設定。README 指出儲存庫中的伺服器檔案僅為佔位檔,實際伺服器由 Explorium 代管。

安裝

在 SourceWeft 中

  1. 開啟 儀表板中的 Mcp Explorium,將其新增到工作區。
  2. 連接 所需的 憑證。它們會被私密儲存,絕不會在公開頁面上展示。
  3. 為需要使用其工具的對話啟用該服務。

Web executable,透過 Streamable HTTP。 遠端服務在工作區中設定後即可從網頁執行環境執行。

交給代理程式安裝

把這段提示詞貼上到 Claude Code、Codex、Cursor 等代理程式,或 SourceWeft 對話中。代理程式會讀取該伺服器的安裝指南,先向你展示發布者、端點和登入方式,經你同意後再把它新增到你的客戶端。金鑰不會寫進任何命令。

閱讀 https://sourceweft.com/mcp/ai.explorium%2Fmcp-explorium/install.md,並按其中說明把這個 MCP 伺服器接入我的客戶端。修改任何設定之前,先告訴我它的發布者、端點和登入方式,等我確認。不要把 API 金鑰寫進命令或我會提交的檔案;問我金鑰應從哪裡取得。

檢視代理程式所依據的安裝指南

其他 MCP 客戶端

把它新增到你客戶端的 mcpServers 設定中。 客戶端會在首次連接時完成 OAuth 登入。

{
  "mcpServers": {
    "explorium": {
      "type": "http",
      "url": "https://mcp-github-registry.explorium.ai/mcp"
    }
  }
}

README

Explorium Business Data Hub

[MIT License] [Node.js Version] [MCP Compatible] [Claude Ready] [OpenAI Compatible] [TypeScript]

[Explorium Logo]

Discover companies, contacts, and business insights—powered by dozens of trusted external data sources.

This repository contains the configuration and setup files for connecting to Explorium's Model Context Protocol (MCP) server, enabling AI tools to access comprehensive business intelligence data.

Overview

The Explorium Business Data Hub provides AI tools with access to:

  • Company Search & Enrichment: Find companies by name, domain, or attributes with detailed firmographics
  • Contact Discovery: Locate and enrich professional contact information
  • Business Intelligence: Access technology stack, funding history, growth signals, and business events
  • Real-Time Data: Up-to-date information from dozens of trusted external data sources
  • Workflow Integration: Seamlessly integrate business data into AI-powered workflows

Search any company or professional for everything from emails and phone numbers to roles, growth signals, tech stack, business events, website changes, and more. Find qualified leads, research prospects, identify talent, or craft personalized outreach—all without leaving your AI tool.

Examples

Example 1: Partnership Opportunity Research

Who should I contact for partnership with monday.com? Get anyone who can promote a partnership with them. Bring me all the contact details you can find

Example 2: Business Challenge Analysis

What are the business challenges of amazon?

Example 3: Leadership Team Discovery

Get the engineering leadership team at Palo Alto Networks

Installation

Install in Claude Desktop
Remote Server Connection

Open Claude Desktop and navigate to Settings > Connectors > Add Custom Connector. Enter the name as Explorium and the remote MCP server URL as https://mcp.explorium.ai/mcp.

Local Server Connection

Open Claude Desktop developer settings and edit your claude_desktop_config.json file to add the following configuration. See Claude Desktop MCP docs for more info.

json
{  "mcpServers": {    "explorium": {      "command": "npx",      "args": ["-y", "mcp-remote", "https://mcp.explorium.ai/mcp"]    }  }}
Install in Cursor

Go to: Settings -> Cursor Settings -> MCP -> Add new global MCP server

Pasting the following configuration into your Cursor ~/.cursor/mcp.json file is the recommended approach. You may also install in a specific project by creating .cursor/mcp.json in your project folder. See Cursor MCP docs for more info.

Cursor Remote Server Connection
json
{  "mcpServers": {    "explorium": {      "url": "https://mcp.explorium.ai/mcp"    }  }}
Cursor Local Server Connection
json
{  "mcpServers": {    "explorium": {      "command": "npx",      "args": ["-y", "mcp-remote", "https://mcp.explorium.ai/mcp"]    }  }}
Install in Windsurf

Add this to your Windsurf MCP config file. See Windsurf MCP docs for more info.

Windsurf Remote Server Connection
json
{  "mcpServers": {    "explorium": {      "serverUrl": "https://mcp.explorium.ai/mcp"    }  }}
Windsurf Local Server Connection
json
{  "mcpServers": {    "explorium": {      "command": "npx",      "args": ["-y", "mcp-remote", "https://mcp.explorium.ai/mcp"]    }  }}
Install in VS Code

Add this to your VS Code MCP config file. See VS Code MCP docs for more info.

VS Code Remote Server Connection
json
"mcp": {  "servers": {    "explorium": {      "type": "http",      "url": "https://mcp.explorium.ai/mcp"    }  }}
VS Code Local Server Connection
json
"mcp": {  "servers": {    "explorium": {      "type": "stdio",      "command": "npx",      "args": ["-y", "mcp-remote", "https://mcp.explorium.ai/mcp"]    }  }}
Install in Zed

It can be installed via Zed Extensions or you can add this to your Zed settings.json. See Zed Context Server docs for more info.

json
{  "context_servers": {    "Explorium": {      "command": {        "path": "npx",        "args": ["-y", "mcp-remote", "https://mcp.explorium.ai/mcp"]      },      "settings": {}    }  }}
Install in Cline

You can easily install Explorium through the Cline MCP Server Marketplace by following these instructions:

  1. Open Cline.
  2. Click the hamburger menu icon (☰) to enter the MCP Servers section.
  3. Use the search bar within the Marketplace tab to find Explorium.
  4. Click the Install button.
Install in Roo Code

Add this to your Roo Code MCP configuration file. See Roo Code MCP docs for more info.

Roo Code Remote Server Connection
json
{  "mcpServers": {    "explorium": {      "type": "streamable-http",      "url": "https://mcp.explorium.ai/mcp"    }  }}
Roo Code Local Server Connection
json
{  "mcpServers": {    "explorium": {      "command": "npx",      "args": ["-y", "mcp-remote", "https://mcp.explorium.ai/mcp"]    }  }}
Install in JetBrains AI Assistant

See JetBrains AI Assistant Documentation for more details.

  1. In JetBrains IDEs go to Settings -> Tools -> AI Assistant -> Model Context Protocol (MCP)
  2. Click + Add.
  3. Click on Command in the top-left corner of the dialog and select the As JSON option from the list
  4. Add this configuration and click OK
json
{  "mcpServers": {    "explorium": {      "command": "npx",      "args": ["-y", "mcp-remote", "https://mcp.explorium.ai/mcp"]    }  }}
  1. Click Apply to save changes.
  2. The same way explorium could be added for JetBrains Junie in Settings -> Tools -> Junie -> MCP Settings
Install in Kiro

See Kiro Model Context Protocol Documentation for details.

  1. Navigate Kiro > MCP Servers
  2. Add a new MCP server by clicking the + Add button.
  3. Paste the configuration given below:
json
{  "mcpServers": {    "Explorium": {      "command": "npx",      "args": ["-y", "mcp-remote", "https://mcp.explorium.ai/mcp"],      "env": {},      "disabled": false,      "autoApprove": []    }  }}
  1. Click Save to apply the changes.

Connecting to Explorium MCP

For advanced users or other MCP clients, you can connect using these methods:

You can connect your AI tool to Explorium using the Model Context Protocol (MCP) through several methods:

Streamable HTTP (Recommended)

  • URL: https://mcp.explorium.ai/mcp
  • JSON config:
json
{  "mcpServers": {    "Explorium": {      "url": "https://mcp.explorium.ai/mcp"    }  }}

SSE (Server-Sent Events)

  • URL: https://mcp.explorium.ai/sse
  • JSON config:
json
{  "mcpServers": {    "Explorium": {      "url": "https://mcp.explorium.ai/sse"    }  }}

STDIO (Local Server)

  • JSON config:
json
{  "mcpServers": {    "explorium": {      "command": "npx",      "args": ["-y", "mcp-remote", "https://mcp.explorium.ai/mcp"]    }  }}

API Key Requirements

Important: Different connection methods have different authentication requirements:

  • ✅ Claude Desktop Extension - No API key required
  • ✅ MCP Remote Connections (Streamable HTTP/SSE/STDIO) - No API key required
  • 🔑 Docker Self-Hosting - Requires API key

Getting Your API Key

For Docker deployment, you'll need an API access token. Get yours at: https://admin.explorium.ai/api-key

Docker Deployment

This repository includes Docker configuration for self-hosting:

bash
# Build the Docker imagedocker build -t explorium-mcp .
# Run the container with API access tokendocker run -e API_ACCESS_TOKEN=your_explorium_access_token explorium-mcp

Required Environment Variables:

  • API_ACCESS_TOKEN - Your Explorium API access token for authentication (get it here)

You can also use a .env file or docker-compose for easier management:

yaml
# docker-compose.ymlversion: '3.8'services:  explorium-mcp:    build: .    ports:      - "44280:44280"    environment:      - API_ACCESS_TOKEN=${API_ACCESS_TOKEN}

Available Tools

Once connected, your AI tool will have access to tools for:

  • Business Matching: Find companies by name, domain, or business ID
  • Business Enrichment: Get detailed firmographics, technographics, and business intelligence
  • Business Events: Track funding rounds, office changes, hiring trends, and company developments
  • Prospect Discovery: Search for professionals and contacts within companies
  • Prospect Enrichment: Access contact information, work history, and professional profiles
  • Prospect Events: Track role changes, company moves, and career milestones

Troubleshooting Connection Issues

If you're experiencing issues connecting your AI tool to Explorium MCP:

  1. Check MCP Client Support Verify that your AI tool supports MCP clients and can connect to MCP servers. Not all AI tools have this capability built-in yet.

  2. Verify Remote Server Support Some AI tools have MCP clients but don't support remote connections. If this is the case, you may still be able to connect using our Docker configuration or local server setup.

  3. Request MCP Support If your AI tool doesn't support MCP at all, we recommend reaching out to the tool's developers to request MCP server connection support.

Configuration Files

This repository contains:

  • package.json - Node.js dependencies and scripts
  • manifest.json - Extension metadata and configuration
  • Dockerfile - Container configuration for self-hosting
  • server/index.js - Placeholder file (does not contain actual MCP implementation)
  • entrypoint.sh - Docker container entry point

Important Note: The server/index.js file in this repository is just a placeholder and does not contain the actual MCP server implementation. To use Explorium MCP, you need to connect to the remote server at https://mcp.explorium.ai/mcp using mcp-remote or through the connection methods described above. The actual MCP server is hosted by Explorium and accessible via the remote URLs.

Documentation & Support

For technical support, contact [email protected].

License

This project is licensed under the MIT License. See LICENSE for details.


來源:README.md,提交 7aafdff

工具

0
該伺服器需要 API 金鑰等憑證,因此 SourceWeft 無法在沒有憑證的情況下讀取其工具,也未收錄。

版本歷史

1
  1. v1.0.1最新Sep 16, 2026

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