> ## Documentation Index
> Fetch the complete documentation index at: https://developers.explorium.ai/llms.txt
> Use this file to discover all available pages before exploring further.
# Claude Desktop Integration
**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](https://claude.ai/)
* 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?"
```