> ## Agent Instructions
>
> Base URL: https://api.anysite.io
> Authentication: send the `access-token` header. Do NOT use `Authorization: Bearer`.
> Full endpoint catalog: https://app.anysite.io/docs
# Claude Desktop MCP Tool Examples

Real-world examples using Anysite MCP in Claude Desktop conversations

## Overview

This guide shows practical examples of using Anysite MCP tools directly in Claude Desktop conversations. These examples demonstrate natural language interactions that leverage the power of MCP tools.

## Permission Modes

Before diving into examples, understand the two permission modes:

  
#### Always Ask Permission

    Claude will request approval before each tool use. You'll see prompts like:

    > "I'd like to use the Get linkedin profile tool to extract information from this profile. May I proceed?"

    **Best for**: Sensitive data, production use, learning how tools work
  

  
#### Allow Unsupervised

    Claude can use tools automatically without asking. More fluid conversations.

    **Best for**: Frequent use, trusted tools, development work
  

> 
Start with "Always ask permission" to understand tool behavior, then switch to "Allow unsupervised" for smoother workflows.

---

## Example 1: LinkedIn Profile Research

### Simple Profile Extraction

**Your prompt:**
```
Can you get me information about this LinkedIn profile?
https://linkedin.com/in/satyanadella
```

**Claude's response flow:**

1. **Tool Request** (if permission required):
   > "I'll use the Get linkedin profile tool to extract detailed information from this profile."

2. **Tool Execution**: Calls `linkedin_user` tool with the URL

3. **Structured Response**:
   > "Here's the information from Satya Nadella's LinkedIn profile:
   >
   > **Name**: Satya Nadella
   > **Headline**: Chairman and CEO at Microsoft
   > **Location**: Redmond, Washington
   > **Company**: Microsoft
   > **Industry**: Technology, Information and Internet
   >
   > **Experience**:
   > - Chairman and CEO at Microsoft (2014-Present)
   > - Executive Vice President, Cloud and Enterprise at Microsoft
   > - President, Server and Tools Business at Microsoft
   >
   > **Education**:
   > - University of Chicago - MBA
   > - University of Wisconsin-Milwaukee - MS
   > - Manipal Institute of Technology - Bachelor's degree
   >
   > Would you like me to analyze any specific aspect of this profile?"

### Comparative Profile Analysis

**Your prompt:**
```
Compare these three LinkedIn profiles and tell me who would be the best fit
for a CTO role at a startup:
1. https://linkedin.com/in/person1
2. https://linkedin.com/in/person2
3. https://linkedin.com/in/person3
```

**Claude's workflow:**
1. Extracts all three profiles using `linkedin_user` tool
2. Analyzes experience, skills, and background
3. Provides comparative analysis with recommendations

---

## Example 2: Company Research

### Basic Company Information

**Your prompt:**
```
Tell me about Microsoft as a company. Use their LinkedIn company page:
https://linkedin.com/company/microsoft
```

**Claude's response includes:**
- Company size and headcount
- Industry and specialties
- Recent updates and posts
- Employee growth trends
- Key company information

### Competitive Analysis

**Your prompt:**
```
I'm researching cloud computing companies. Can you compare these companies
and provide insights on their positioning?

1. Microsoft: https://linkedin.com/company/microsoft
2. Amazon Web Services: https://linkedin.com/company/aws
3. Google Cloud: https://linkedin.com/company/google-cloud
```

**Claude will:**
- Extract company data from all three profiles
- Compare size, growth, specialties
- Analyze recent company updates
- Provide strategic insights

---

## Example 3: Content Monitoring

### Reddit Post Analysis

**Your prompt:**
```
Analyze this Reddit post and summarize the discussion:
https://reddit.com/r/technology/comments/abc123/ai-breakthrough
```

**Claude extracts and provides:**
- Post title, author, and content
- Upvote/downvote ratio
- Number of comments
- Top comments summary
- Discussion sentiment
- Key themes and topics

### Multi-Platform Content Analysis

**Your prompt:**
```
I want to understand the conversation around "AI safety" across platforms.

Reddit: https://reddit.com/r/artificial/comments/xyz/ai-safety-discussion
LinkedIn Post: https://linkedin.com/posts/johndoe-ai-safety-12345

Can you analyze both and compare the sentiment and key points?
```

**Claude will:**
1. Extract Reddit post and comments
2. Extract LinkedIn post and comments
3. Compare discussion quality and sentiment
4. Identify common themes and unique perspectives

---

## Example 4: Instagram Content Analysis

### Single Post Analysis

**Your prompt:**
```
Analyze this Instagram post for me:
https://instagram.com/p/ABC123xyz/

I want to understand the engagement and comments.
```

**Claude extracts:**
- Post caption and hashtags
- Like count and engagement rate
- Top comments
- Comment sentiment analysis
- Engagement insights

### Influencer Evaluation

**Your prompt:**
```
I'm considering partnering with this Instagram influencer.
Can you analyze their recent posts and engagement?

Profile: https://instagram.com/influencername
Recent posts:
- https://instagram.com/p/POST1/
- https://instagram.com/p/POST2/
- https://instagram.com/p/POST3/
```

**Claude provides:**
1. Individual post analytics
2. Average engagement rate
3. Comment quality assessment
4. Audience interaction patterns
5. Recommendation on partnership potential

---

## Example 5: Research Workflows

### Market Research

**Your prompt:**
```
I'm researching the cybersecurity industry. Can you help me build
a profile of key companies and thought leaders?

Start with these companies:
- https://linkedin.com/company/crowdstrike
- https://linkedin.com/company/paloaltonetworks

And these thought leaders:
- https://linkedin.com/in/leader1
- https://linkedin.com/in/leader2
```

**Claude's comprehensive analysis:**
1. Company profiles and positioning
2. Key personnel and thought leaders
3. Industry trends from recent posts
4. Competitive landscape insights
5. Actionable recommendations

### Lead Generation

**Your prompt:**
```
I'm looking for potential clients who are CTOs in the healthcare
industry in the San Francisco Bay Area.

Can you search LinkedIn and provide me with a list of profiles
that match this criteria?
```

**Claude uses:**
- `search_linkedin_users` tool
- Filters by job title, industry, location
- Provides structured list with profile details
- Suggests outreach strategies

---

## Example 6: Due Diligence

### Startup Founder Verification

**Your prompt:**
```
I'm considering investing in a startup. Can you help me verify
the founders' backgrounds?

Founder 1: https://linkedin.com/in/founder1
Founder 2: https://linkedin.com/in/founder2

I want to verify their experience, education, and credibility.
```

**Claude analyzes:**
- Work history and tenure at companies
- Education credentials
- Skills and endorsements
- Recommendations and activity
- Red flags or inconsistencies
- Overall credibility assessment

---

## Example 7: Content Strategy

### Competitor Content Analysis

**Your prompt:**
```
Analyze the LinkedIn content strategy of this company:
https://linkedin.com/company/competitor

What types of posts get the most engagement? What themes do they focus on?
```

**Claude examines:**
- Recent company posts
- Engagement metrics per post
- Content types (articles, videos, images)
- Posting frequency
- Audience response patterns
- Recommendations for your content strategy

---

## Example 8: Multi-Tool Workflows

### Comprehensive Person Investigation

**Your prompt:**
```
I need a comprehensive background check on this person:

LinkedIn: https://linkedin.com/in/person
Instagram: https://instagram.com/username
Reddit: https://reddit.com/user/username

Can you build me a profile across all platforms?
```

**Claude orchestrates:**
1. LinkedIn profile extraction (professional background)
2. Instagram analysis (personal brand, interests)
3. Reddit activity (opinions, expertise areas)
4. Unified profile synthesis
5. Insights on consistency across platforms

### Brand Monitoring

**Your prompt:**
```
Monitor mentions of our brand across these platforms:

Reddit: Search for "BrandName" in r/technology
LinkedIn: Our company page updates
Instagram: Posts with #BrandName

Summarize sentiment and key feedback.
```

**Claude provides:**
- Cross-platform sentiment analysis
- Key feedback themes
- Positive and negative mentions
- Actionable insights
- Trend identification

---

## Best Practices for Prompting

### Be Specific

  
#### ❌ Vague

    "Tell me about this person"
  

  
#### ✅ Specific

    "Extract this person's work experience, education, and top 3 skills from their LinkedIn profile"
  

### Provide Complete URLs

  
#### ❌ Incomplete

    "Check out the microsoft company page"
  

  
#### ✅ Complete

    "Analyze https://linkedin.com/company/microsoft"
  

### Request Structured Output

**Good prompt:**
```
Extract the following from this LinkedIn profile and format as a table:
- Name
- Current role
- Company
- Years of experience
- Top 5 skills
- Education

URL: https://linkedin.com/in/username
```

### Combine Analysis with Data

**Good prompt:**
```
Get information from this LinkedIn profile and then:
1. Summarize their career trajectory
2. Identify their core expertise areas
3. Suggest how they could be valuable to our company
4. Draft an outreach message

URL: https://linkedin.com/in/candidate
```

---

## Advanced Techniques

### Batch Processing

**Your prompt:**
```
I have a list of 20 LinkedIn profiles to analyze.
Here's the first batch of 5:

[URLs]

For each profile, extract: name, title, company, and years of experience.
Present in a table format.
```

### Conditional Logic

**Your prompt:**
```
Check this LinkedIn profile: [URL]

If the person has 10+ years of experience in software engineering,
provide a detailed technical background summary.

If they have less than 10 years, just give me a brief overview.
```

### Data Export Requests

**Your prompt:**
```
Extract data from these 10 LinkedIn profiles and format it as CSV
that I can copy and paste into a spreadsheet:

[URLs]

Columns: Name, Title, Company, Location, Years of Experience, LinkedIn URL
```

---

## Tips for Effective Use

  
#### Start Simple, Then Iterate

    Begin with basic extraction, then ask follow-up questions to dive deeper:

    1. "Get this LinkedIn profile: [URL]"
    2. "Now analyze their career progression"
    3. "What skills should they develop for a CTO role?"
  

  
#### Use Follow-Up Questions

    Claude maintains context, so you can ask follow-ups:

    - "Can you elaborate on their education background?"
    - "What about their recommendations?"
    - "Compare this to the previous profile you analyzed"
  

  
#### Request Different Formats

    Ask for the format you need:

    - "Provide as bullet points"
    - "Format as a table"
    - "Create a JSON structure"
    - "Draft an email summary"
  

  
#### Combine with Claude's Analysis

    Don't just extract data - ask for insights:

    - "What stands out about this profile?"
    - "What are the red flags?"
    - "How does this compare to industry standards?"
    - "What questions should I ask in an interview?"
  

---

## Troubleshooting Common Issues

### Tool Permission Denied

**Issue**: Claude says "I don't have permission to use that tool"

**Solution**:
1. Go to Settings → Connectors
2. Find Anysite MCP connector
3. Enable the specific tool
4. Change permission to "Allow unsupervised" or "Always ask permission"

### Rate Limiting

**Issue**: "Rate limit exceeded" errors

**Solution**:
- Check your Anysite dashboard for API quota
- Space out requests over time
- Consider upgrading your Anysite plan

### Invalid URLs

**Issue**: Tool fails with "Invalid URL" error

**Solution**:
- Ensure URLs are complete (include https://)
- Verify the URL is accessible and public
- Check for typos in the URL

### Incomplete Data

**Issue**: Some profile fields are missing

**Solution**:
- This is normal - not all profiles have all fields
- Ask Claude to note which fields are available
- Some data may be privacy-protected by the user

---

## Performance Tips

1. **Group Related Requests**: Ask for multiple profiles in one prompt rather than separate conversations

2. **Be Patient**: Some tools may take 5-10 seconds to fetch data

3. **Cache Results**: Once data is extracted, ask follow-up questions in the same conversation

4. **Use Specific Tools**: If you know which tool you need, mention it: "Use the linkedin_user tool to..."

5. **Save Conversations**: Bookmark or export conversations with valuable research

---

## Integration with Your Workflow

### Research Documentation

After Claude extracts data, you can:
- Copy responses to your notes
- Ask Claude to format as markdown for documentation
- Request structured data for spreadsheets
- Generate reports from multiple sources

### CRM Integration

Use extracted data to populate CRM fields:
```
Extract this LinkedIn profile and format it as CRM fields:
- First Name:
- Last Name:
- Title:
- Company:
- Email: [if available]
- Phone: [if available]
- LinkedIn URL:
- Notes: [career highlights]
```

### Decision Support

Use analysis for hiring, partnerships, investments:
```
Based on this profile [URL], should we:
1. Proceed with interview? (Yes/No and why)
2. What role best suits them?
3. What concerns should we address?
4. What's the likelihood they're open to opportunities?
```

---

## Next Steps

- [View All Available MCP Tools](/docs/mcp-server/tools)
- [Installation Guide](/docs/mcp-server/claude-desktop-tool/installation)
- [Learn About Local Server](/docs/mcp-server/local-server/installation)
- [Explore n8n Integration](/docs/mcp-server/n8n-tool/installation)

## Need Help?

#### Get Support

  Contact our support team for assistance with Claude Desktop MCP usage