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Claude by Anthropic - The most popular MCP-compatible AI assistant Claude Desktop provides native support for MCP servers, making it the ideal choice for accessing AgentSource data through natural conversation.

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Setup Instructions

1

Install Claude Desktop

Install Claude Desktop from claude.ai
2

Enter Claude desktop settings

3

Move to Integrations tab

4

Add Explorium MCP integration

5

Connect to MCP server

  • At the Claude chat box, Click ‘Explorium MCP Connect’
  • Allow Explorium MCP access

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Example Conversations

Finding Companies: 
You: Find me 10 SaaS companies in San Francisco with 50-200 employees

Claude: I'll search for SaaS companies in San Francisco with 50-200 employees.

[Searches using fetch_businesses tool]

I found 10 SaaS companies matching your criteria:

1. TechFlow Analytics
   - 125 employees
   - Revenue: $10M-$25M
   - Technologies: AWS, React, PostgreSQL

2. DataSync Solutions
   - 87 employees
   - Revenue: $5M-$10M
   - Technologies: Google Cloud, Python, MongoDB

[... continues with detailed results]
Researching Contacts: 
You: Who is the CTO of Snowflake and what's their background?

Claude: I'll look up information about Snowflake's CTO.

[Uses match_businesses, then enrich_businesses_financial_metrics]

The CTO of Snowflake is Benoit Dageville. Here's his background:
- Co-founder of Snowflake
- Previously at Oracle for 16 years
- PhD in Computer Science from University of Paris
- Expertise in database systems and query optimization

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Common Patterns

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Research Assistant Pattern

Transform your AI into a business research assistant: 
1. User asks about a company or industry
2. AI uses match_businesses or fetch_businesses
3. AI enriches with firmographics, technographics, financials
4. AI summarizes findings in natural language

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Sales Intelligence Pattern

Enable your AI to support sales activities: 
1. User provides target company name
2. AI finds company with match_businesses
3. AI fetches key contacts with fetch_prospects
4. AI enriches contact information
5. AI provides actionable insights

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Market Analysis Pattern

Use AI for competitive intelligence: 
1. User asks about market segment
2. AI searches companies with filters
3. AI aggregates statistics
4. AI identifies trends and patterns
5. AI generates market report

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Best Practices

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Prompt Engineering

Be Specific 
Good: "Find B2B SaaS companies in NYC with 50-200 employees using AWS"
Bad: "Find some tech companies"
Chain Requests 
"First find Microsoft's business ID, then show me all VPs in their engineering department"
Request Formats 
"Show me the results as a table with company name, size, and revenue"

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Performance Tips

  • Batch Operations: Ask for multiple companies at once
  • Specific Filters: Use precise criteria to reduce results
  • Caching: AI assistants often cache recent results
  • Pagination: Request specific page numbers for large datasets

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Security Considerations

  • Store API keys in secure configuration files
  • Never share API keys in conversations
  • Use read-only keys when possible
  • Monitor usage through the admin panel

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Advanced Features

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Tool Chaining

Most AI assistants can automatically chain multiple tools: 
"Find the top 5 competitors of Salesforce and compare their employee counts and technologies"

This triggers:
1. match_businesses (Salesforce)
2. enrich_businesses_competitive_landscape
3. match_businesses (for each competitor)
4. enrich_businesses_firmographics
5. enrich_businesses_technographics

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Conversational Memory

AI assistants maintain context across messages: 
You: "Find info about Uber"
AI: [Provides Uber details]
You: "Now show me their main competitors"
AI: [Understands "their" refers to Uber]

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Natural Language Filters

Convert natural language to API filters: 
"Companies founded in the last 3 years" <Icon icon="arrow-right" /> company_age: ["0-3"]
"Mid-size businesses" <Icon icon="arrow-right" /> company_size: ["51-200", "201-500"]
"Tech companies" <Icon icon="arrow-right" /> linkedin_category: ["Technology"]

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Company Research

"Give me a complete profile of Tesla including their technology stack,
financial metrics, recent events, and key executives"

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Competitive Analysis

"Compare the top 5 CRM companies by employee count, revenue,
and technology stack. Show the results in a table."

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Lead Generation

"Find marketing directors at fintech companies in London
with 100-500 employees. Include their email addresses."

"What percentage of SaaS companies with $10M-$50M revenue
are using AWS vs Google Cloud vs Azure?"
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