n8n MCP Tool Examples

Overview

These examples demonstrate how to use the Anysite MCP Tool in n8n workflows to extract and process social media data.

Example 1: LinkedIn Profile Enrichment

Automatically enrich contact data with LinkedIn profile information.

Workflow Structure

Configuration

Setup Webhook Trigger

Configure a webhook that accepts LinkedIn profile URLs:

{
  "linkedin_url": "https://linkedin.com/in/username"
}

Configure MCP Client

Add MCP Client node
Set endpoint to your Anysite Direct URL
Include linkedin_user tool

Add AI Agent Node

Configure the AI agent to use the MCP tool:

Extract detailed profile information from: {{ $json.linkedin_url }}

Use the linkedin_user tool to get:
- Full name and headline
- Current position and company
- Experience history
- Education
- Skills

Process Results

Use a Code node to structure the extracted data:

const profile = $input.item.json;

return {
  name: profile.full_name,
  headline: profile.headline,
  current_company: profile.current_position?.company,
  location: profile.location,
  skills: profile.skills,
  profile_url: profile.linkedin_url
};

Use Cases

CRM data enrichment
Lead qualification
Candidate screening
Contact database updates

Example 2: Reddit Content Monitoring

Monitor Reddit posts and extract detailed information for content analysis.

Workflow Structure

Configuration

Setup Schedule Trigger

Run every hour to check new Reddit posts:

Cron: 0 * * * *

Provide Reddit URLs

Use a Set node with target post URLs or feed from a database.

Configure MCP Client

Include reddit_post tool
Set for processing multiple items

Extract Post Data

AI agent prompt:

Analyze this Reddit post: {{ $json.reddit_url }}

Extract:
- Post title and content
- Author information
- Upvotes and comments count
- Top comments
- Post timestamp

Analyze Sentiment

Add another AI node to analyze sentiment:

Analyze the sentiment of this post and its top comments.
Classify as: Positive, Negative, or Neutral
Extract key topics and themes.

Use Cases

Brand mention monitoring
Community sentiment tracking
Competitor analysis
Trend identification

Example 3: Instagram Profile Analysis

Extract and compare Instagram profiles for influencer research.

Workflow Configuration

Input Instagram URLs

Webhook or manual trigger with profile URLs:

{
  "profiles": [
    "https://instagram.com/influencer1",
    "https://instagram.com/influencer2"
  ]
}

MCP Client Setup

Include instagram_profile tool
Enable batch processing

Extract Profile Data

AI agent instruction:

For each Instagram profile, extract:
- Username and full name
- Follower count and engagement rate
- Bio and contact information
- Recent posts count
- Account type (business/personal)

Compare and Rank

Use Code node to compare profiles:

const profiles = $input.all().map(item => item.json);

// Calculate engagement scores
profiles.forEach(profile => {
  profile.engagement_score =
    (profile.avg_likes + profile.avg_comments) /
    profile.followers * 100;
});

// Sort by engagement
profiles.sort((a, b) =>
  b.engagement_score - a.engagement_score
);

return profiles;

Use Cases

Influencer selection
Campaign planning
Competitive analysis
Audience research

Example 4: Multi-Platform Data Aggregation

Collect data from multiple social platforms for comprehensive analysis.

Workflow Overview

Combine LinkedIn, Instagram, and Reddit data for a person or brand.

Setup Input

Provide multiple social media URLs:

{
  "linkedin": "https://linkedin.com/in/username",
  "instagram": "https://instagram.com/username",
  "reddit": "https://reddit.com/user/username"
}

Parallel Processing

Split workflow into parallel branches:

Branch 1: LinkedIn data extraction
Branch 2: Instagram data extraction
Branch 3: Reddit data extraction

Each branch uses MCP Client with appropriate tool.

Merge Results

Use Merge node to combine all data:

Mode: Combine All
Output: Single item with all social data

Generate Report

AI agent creates unified analysis:

Based on the social media data from LinkedIn, Instagram, and Reddit:

Summarize professional background
Analyze content themes and interests
Evaluate audience engagement
Identify key insights and patterns

Use Cases

Comprehensive background checks
Brand presence analysis
Content strategy research
Cross-platform insights

Example 5: Automated LinkedIn Company Research

Research companies automatically from a list.

Configuration

Input Company List

Provide company LinkedIn URLs via webhook or spreadsheet:

{
  "companies": [
    "https://linkedin.com/company/company1",
    "https://linkedin.com/company/company2"
  ]
}

MCP Client

Use linkedin_company tool for data extraction.

Extract Company Data

For each company, extract:
- Company name and industry
- Size and location
- Description and specialties
- Employee count
- Recent updates and posts

Export Results

Format and export to:

Google Sheets
Airtable
CSV file
Database

Use Cases

Market research
Lead generation
Competitive intelligence
Partnership opportunities

Best Practices

Error Handling

Add Error Trigger nodes to handle API failures gracefully and implement retry logic.

Rate Limiting

Use Wait nodes between MCP calls to avoid hitting API rate limits.

Data Validation

Validate extracted data before processing to ensure quality and completeness.

Logging

Log all MCP operations for debugging and audit purposes.

Tips for Optimization

Batch Processing: Group multiple URLs together to reduce workflow execution time
Caching: Store frequently accessed data to minimize API calls
Parallel Execution: Use Split In Batches node for processing large datasets
Error Recovery: Implement fallback mechanisms for failed API calls
Monitoring: Set up notifications for workflow failures or data anomalies

Advanced Patterns

Pattern 1: Conditional Tool Selection

Use IF nodes to dynamically select which MCP tool to use based on URL type:

// Detect platform from URL
const url = $json.social_url;

if (url.includes('linkedin.com/in/')) {
  return { tool: 'linkedin_user' };
} else if (url.includes('linkedin.com/company/')) {
  return { tool: 'linkedin_company' };
} else if (url.includes('instagram.com')) {
  return { tool: 'instagram_profile' };
}

Pattern 2: Incremental Updates

Track and update only changed data:

// Compare with existing data
const existing = $('Database').first().json;
const fresh = $json;

const changes = {};
if (existing.followers !== fresh.followers) {
  changes.followers = fresh.followers;
  changes.follower_growth = fresh.followers - existing.followers;
}

return changes.followers ? changes : null;

Pattern 3: Data Enrichment Pipeline

Chain multiple MCP tools for comprehensive enrichment:

LinkedIn User → Get Company → Get Company Employees → Analyze Network

Resources

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Overview

Example 1: LinkedIn Profile Enrichment

Workflow Structure

Configuration

Use Cases

Example 2: Reddit Content Monitoring

Workflow Structure

Configuration

Use Cases

Example 3: Instagram Profile Analysis

Workflow Configuration

Use Cases

Example 4: Multi-Platform Data Aggregation

Workflow Overview

Use Cases

Example 5: Automated LinkedIn Company Research

Configuration

Use Cases

Best Practices

Error Handling

Rate Limiting

Data Validation

Logging

Tips for Optimization

Advanced Patterns

Pattern 1: Conditional Tool Selection

Pattern 2: Incremental Updates

Pattern 3: Data Enrichment Pipeline

Resources

Need Help?

Get Support

​Overview

​Example 1: LinkedIn Profile Enrichment

​Workflow Structure

​Configuration

​Use Cases

​Example 2: Reddit Content Monitoring

​Workflow Structure

​Configuration

​Use Cases

​Example 3: Instagram Profile Analysis

​Workflow Configuration

​Use Cases

​Example 4: Multi-Platform Data Aggregation

​Workflow Overview

​Use Cases

​Example 5: Automated LinkedIn Company Research

​Configuration

​Use Cases

​Best Practices

Error Handling

Rate Limiting

Data Validation

Logging

​Tips for Optimization

​Advanced Patterns

​Pattern 1: Conditional Tool Selection

​Pattern 2: Incremental Updates

​Pattern 3: Data Enrichment Pipeline

​Resources

​Need Help?

Get Support

Overview

Example 1: LinkedIn Profile Enrichment

Workflow Structure

Configuration

Use Cases

Example 2: Reddit Content Monitoring

Workflow Structure

Configuration

Use Cases

Example 3: Instagram Profile Analysis

Workflow Configuration

Use Cases

Example 4: Multi-Platform Data Aggregation

Workflow Overview

Use Cases

Example 5: Automated LinkedIn Company Research

Configuration

Use Cases

Best Practices

Tips for Optimization

Advanced Patterns

Pattern 1: Conditional Tool Selection

Pattern 2: Incremental Updates

Pattern 3: Data Enrichment Pipeline

Resources

Need Help?