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.
Setup Instructions
-
Install Claude Desktop from claude.ai
-
Enter Claude desktop settings
-
Move to Integrations tab

- Add Explorium MCP integration
- Click the 'Add Integration' button
- Enter explorium mcp details:
- server name: Explorium MCP
- Server url: https://mcp.explorium.ai/sse

- Connect to MCP server
- At the Claude chat box, Click 'Explorium MCP Connect'
- Allow Explorium MCP access


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
Common Patterns
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
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
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
Best Practices
🎯 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"
⚡ 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
🔒 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
Advanced Features
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
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]
Natural Language Filters
Convert natural language to API filters:
"Companies founded in the last 3 years" → company_age: ["0-3"]
"Mid-size businesses" → company_size: ["51-200", "201-500"]
"Tech companies" → linkedin_category: ["Technology"]
Examples Gallery
Company Research
"Give me a complete profile of Tesla including their technology stack,
financial metrics, recent events, and key executives"
Competitive Analysis
"Compare the top 5 CRM companies by employee count, revenue,
and technology stack. Show the results in a table."
Lead Generation
"Find marketing directors at fintech companies in London
with 100-500 employees. Include their email addresses."
Market Trends
"What percentage of SaaS companies with $10M-$50M revenue
are using AWS vs Google Cloud vs Azure?"