CUFinder MCP Server: Complete Guide

Transform your AI assistant into a powerful B2B sales intelligence tool. CUFinder MCP Server connects Claude, Cursor, VS Code, and other AI platforms directly to over 1 billion professional profiles and 85 million company records.

Visit CUFinder's MCP Documentation Page For full tutorial.

What is CUFinder MCP?

CUFinder MCP (Model Context Protocol) Server is an integration layer that enables AI assistants to access CUFinder's comprehensive B2B database in real-time. Instead of switching between multiple platforms to find contact information, enrich leads, or research companies, you can now ask your AI assistant directly.

Think of it as giving your AI a direct phone line to one of the world's largest B2B data repositories. When you ask Claude to "find the email of the VP of Sales at Stripe" or "show me software companies in Berlin with 50-200 employees," the MCP server handles the request and returns verified, up-to-date information instantly.

The MCP protocol standardizes how AI models interact with external data sources. CUFinder's implementation means any MCP-compatible AI assistant can leverage our database of:

• 1B+ professional profiles with verified emails, phone numbers, and LinkedIn URLs
• 85M+ company records including firmographics, tech stacks, and funding data
• 5,000+ industries for precise targeting
• Real-time verification ensuring 93-99% data accuracy

Whether you're a sales rep building prospect lists, a recruiter sourcing candidates, or a marketer enriching campaign data, CUFinder MCP eliminates the friction between asking a question and getting actionable B2B intelligence.

How to Use CUFinder MCP?

Getting started with CUFinder MCP takes just a few minutes. Here's how to set it up and start querying B2B data through your AI assistant.

Step 1: Get Your CUFinder API Key

First, you need a CUFinder account with API access.

1. Visit CUFinder's signup page
2. Create your account and choose a plan that includes API credits
3. Navigate to Settings > API Keys in your dashboard
4. Generate a new API key and copy it securely

Step 2: Configure Your MCP Client

The configuration depends on which AI platform you're using.

For Claude Desktop:

Add the following to your claude_desktop_config.json file:

{
  "mcpServers": {
    "cufinder": {
      "type": "url",
      "url": "https://mcp.cufinder.io/mcp",
      "name": "CUFinder"
    }
  }
}

For Cursor:

Open Cursor settings and navigate to the MCP configuration section. Add CUFinder as a new server with the URL https://mcp.cufinder.io/mcp.

For VS Code with MCP Extension:

Add the CUFinder server to your MCP extension settings using the same URL endpoint.

Step 3: Authenticate Your Requests

Once connected, your AI assistant will prompt for authentication when making CUFinder requests. Enter your API key when prompted, and subsequent queries will use your account credentials.

Step 4: Start Querying

Now you can ask natural language questions like:

• "Find the CEO of Salesforce and their email"
• "Search for marketing directors at SaaS companies in California"
• "Get company information for hubspot.com"
• "Find 10 software development companies in Germany with 51-200 employees"
• "What's the tech stack of shopify.com?"

The MCP server translates your requests into API calls and returns structured, actionable data.

Key Features of CUFinder MCP

CUFinder MCP Server provides five powerful tools that cover the full spectrum of B2B data needs.

1. Find Business (Company Enrichment)

Get comprehensive company profiles from a name, domain, or LinkedIn URL.

What you get:

• Company name and description
• Website and domain
• Industry classification
• Employee count and company size
• Headquarters location (country, state, city, address)
• LinkedIn URL and follower count
• Company type (public, private, non-profit)
• Founded year
• Logo URL

Example query: "Tell me about Stripe"

Sample response includes:

• Industry: Technology, Information and Internet
• Employee count: 1,001-5,000
• Location: South San Francisco, California, United States
• LinkedIn followers: 500,000+

2. Find Person (Contact Enrichment)

Turn a name and company into a complete professional profile with contact details.

What you get:

• Full name (first and last)
• Job title and role categories
• Verified work email
• Direct phone number (when available)
• LinkedIn profile URL
• Location (country, state, city)
• Company information (name, website, industry, size)
• Social profiles (Facebook, Twitter)
• Profile avatar

Example query: "Find John Smith at Microsoft and get his email"

3. Search Businesses (Company Search)

Find companies matching specific criteria using powerful filters.

Available filters:

• Country, state, and city (required: country)
• Industry (exact match from 480+ categories)
• Employee size ranges (0-1, 2-10, 11-50, 51-200, 201-500, 501-1,000, 1,001-5,000, 5,001-10,000, 10,001+)
• Annual revenue (min/max in millions USD)
• Funding amount (min/max in raw USD)
• Founded year (before/after)
• LinkedIn follower count (min/max)
• Products and services keywords
• School identifier (for educational institutions)

Example query: "Find software development companies in the United States with 51-200 employees and annual revenue between $5M and $50M"

4. Search Persons (Contact Search)

Find professionals matching specific job titles, industries, and company criteria.

Available filters:

• Full name
• Job title role (engineering, sales, marketing, HR, finance, etc.)
• Job title level (CXO, VP, Director, Manager, Senior, Entry)
• Company name or LinkedIn URL
• Company location (country, state, city)
• Company industry
• Company employee size
• Company annual revenue (min/max)
• Products and services keywords
• LinkedIn follower count (min/max)

Example query: "Find CTOs at fintech companies in London with 200+ employees"

5. Search Local Businesses

Discover local businesses by industry and location for regional targeting.

Available filters:

• Business name
• Country, state, and city
• Industry (5,000+ local business categories)
• Page number for pagination

What you get:

• Business name and address
• Phone number
• Website
• Industry classification
• Rating and review count

Example query: "Find auto repair shops in Los Angeles, California"

Use Cases of CUFinder MCP

CUFinder MCP Server adapts to multiple workflows across sales, marketing, recruiting, and business intelligence.

Sales Prospecting

The challenge: Sales reps spend hours researching prospects across multiple tools before making contact.

The solution: Ask your AI assistant to build targeted prospect lists instantly.

Example workflow:

1. "Find 20 VP of Sales at SaaS companies in Texas with 100-500 employees"
2. "Get the email and phone for Sarah Johnson at Acme Corp"
3. "What technologies does their company use?"
4. "Find 5 companies similar to Acme Corp"

Result: In minutes, you have a qualified list with verified contact details, tech stack insights for personalization, and lookalike companies for expansion.

Account-Based Marketing (ABM)

The challenge: ABM campaigns require deep account intelligence to personalize outreach effectively.

The solution: Enrich target account lists with firmographic and technographic data through natural conversation.

Example workflow:

1. "Get company details for our top 10 target accounts" (provide domains)
2. "Find the marketing decision-makers at each company"
3. "What's the tech stack for each account?"
4. "What's their estimated annual revenue?"

Result: Complete account profiles with the data you need to craft personalized campaigns.

Recruiting and Talent Sourcing

The challenge: Recruiters need to find candidates and hiring manager contacts at target companies.

The solution: Search for professionals by role, seniority, and company criteria.

Example workflow:

1. "Find engineering managers at fintech companies in San Francisco"
2. "Get contact details for the Head of Talent at Stripe"
3. "Search for senior data scientists at companies using Snowflake"

Result: Qualified candidate pools and direct lines to hiring decision-makers.

Competitive Intelligence

The challenge: Understanding competitor organizations, tech stacks, and key personnel takes significant research time.

The solution: Query competitor data directly through your AI assistant.

Example workflow:

1. "Tell me about [competitor domain]"
2. "Who are their C-level executives?"
3. "What technologies do they use?"
4. "Find companies similar to [competitor]"
5. "What's their funding history?"

Result: Comprehensive competitive profiles without leaving your AI workflow.

Lead Enrichment and Data Cleaning

The challenge: CRM data decays rapidly, and incomplete records limit outreach effectiveness.

The solution: Enrich existing contact and company records conversationally.

Example workflow:

1. "I have a contact named John Doe at TechCorp. Can you verify his current role and get his email?"
2. "What's the current employee count for these 5 companies?" (provide names/domains)
3. "Find the LinkedIn URL for [company name]"

Result: Updated, verified records without manual research.

Local Business Outreach

The challenge: Local sales teams need to identify businesses in specific regions and industries.

The solution: Search local business directories through natural language.

Example workflow:

1. "Find restaurants in downtown Chicago"
2. "Search for dental clinics in Miami"
3. "Get auto dealerships in Houston, Texas"

Result: Local business leads with contact information and ratings for regional campaigns.

Market Research

The challenge: Analysts need to size markets, identify players, and understand industry landscapes.

The solution: Query company databases by industry, size, location, and other criteria.

Example workflow:

1. "How many software companies are there in Germany with 500+ employees?"
2. "Find the largest cybersecurity companies in the United States"
3. "Search for renewable energy companies founded after 2020"

Result: Data-driven market insights without expensive research subscriptions.

FAQ About CUFinder MCP

General Questions

What is MCP (Model Context Protocol)?

MCP is an open standard that enables AI assistants to connect with external data sources and tools. Developed by Anthropic, it creates a standardized way for AI models to access real-time information beyond their training data. CUFinder's MCP server implements this protocol to provide B2B data access.

Which AI platforms support CUFinder MCP?

CUFinder MCP works with any MCP-compatible AI assistant, including Claude Desktop, Cursor, VS Code with MCP extensions, and other platforms that support the Model Context Protocol.

Do I need coding skills to use CUFinder MCP?

No. Once configured, you interact with CUFinder through natural language. Ask questions like you would to a colleague, and your AI assistant handles the technical communication with CUFinder's servers.

Data and Accuracy

How accurate is CUFinder's data?

CUFinder maintains 93-99% data accuracy across its database. Professional profiles and company records are refreshed daily using multiple verification sources to ensure you're working with current information.

How large is CUFinder's database?

CUFinder provides access to over 1 billion professional profiles and 85 million company records spanning 5,000+ industries globally.

Where does CUFinder's data come from?

CUFinder aggregates data from public sources, business registries, professional networks, company websites, and verified third-party providers. All data is collected and processed in compliance with applicable data protection regulations.

How often is the data updated?

CUFinder's database is refreshed daily. When you query through MCP, you receive real-time verified data, not cached results.

Pricing and Credits

How does pricing work with CUFinder MCP?

CUFinder MCP uses the same credit system as the main platform. Each API call consumes credits based on the type of enrichment or search performed. Your account dashboard shows credit usage and remaining balance.

What are CUFinder's pricing plans?

CUFinder offers multiple plans:

• Free: 50 credits/month at $0/month
• Growth: 1,000 credits/month at $49/month
• Premium: 3,000 credits/month at $129/month
• Unlimited: 10,000 credits/month at $299/month

Can I try CUFinder MCP before committing?

Yes. The free plan includes 50 credits monthly, allowing you to test MCP functionality before upgrading.

Technical Questions

What data formats does CUFinder MCP return?

CUFinder MCP returns structured JSON data that your AI assistant formats into readable responses. You can also request raw JSON output for integration purposes.

Are there rate limits?

Yes. API rate limits depend on your subscription plan. The MCP server handles rate limiting gracefully and will inform you if limits are reached.

Is my data secure?

CUFinder uses encrypted connections (HTTPS) for all MCP communications. Your API key authenticates requests, and query data is not stored beyond what's necessary for request processing.

Can I use CUFinder MCP for bulk operations?

MCP is designed for conversational, on-demand queries. For bulk enrichment (thousands of records), CUFinder's Enrichment Engine or direct API integration may be more efficient.

Troubleshooting

My queries aren't returning results. What should I check?

1. Verify your API key is correct and has available credits
2. Check that filters use exact values (especially for industries and locations)
3. Ensure location values are lowercase (e.g., "united states" not "United States")
4. Broaden your search criteria if filters are too restrictive

How do I check my remaining credits?

Log into your CUFinder dashboard to view credit balance and usage history.

Can I get support for CUFinder MCP?

Yes. Contact CUFinder support through the dashboard or visit the API documentation for technical guidance.

Get Started with CUFinder MCP

Ready to supercharge your AI assistant with B2B intelligence? CUFinder MCP Server connects you to the data you need without switching tools or workflows.

Create your free CUFinder account and start querying 1B+ contacts and 85M+ companies through your favorite AI assistant today.

CUFinder – Unleash the full potential of your B2B lead generation with AI-powered data enrichment.