Model Context Protocol for AI Agents
Let Claude, Cursor, and other AI tools access LinkedIn, Instagram, Twitter, and Reddit data directly. No code required - just natural language.
Quick Install
The bridge between AI and web data
Model Context Protocol enables AI assistants to access external tools and data sources seamlessly.
Model Context Protocol (MCP) is an open standard that enables AI assistants to access external tools and data sources. Anysite's MCP server gives AI agents direct access to LinkedIn, Instagram, and Reddit data through simple, natural language requests.
Install Once
Add our MCP server to your AI tool
Ask Naturally
"Find marketing managers in San Francisco on LinkedIn"
Get Results
Structured data appears directly in your AI conversation
Take Action
AI can process, analyze, and act on the data
No more copy-pasting. No more manual searches. Just seamless data access.
Works with your favorite AI assistants
Native integration with leading AI tools and platforms.
Claude Desktop ✓
- Official Anthropic integration
- Full tool support
- Streaming responses
- Error handling
Cursor IDE ✓
- Built-in MCP support
- Code generation with real data
- Inline data access
- Project-wide availability
Coming Soon
- VS Code Copilot
- OpenAI GPTs
- LangChain
- AutoGPT
Natural language access to web data
Simple commands that understand what you need.
search_linkedin_users
Natural language: "Find marketing managers at tech companies"
Parameters: query, filters, limit
get_linkedin_profile
Natural language: "Get detailed LinkedIn profile information"
Parameters: profile_url, include_posts
lookup_linkedin_email
Natural language: "Find email addresses associated with LinkedIn profiles"
Parameters: profile_url, verification_level
send_linkedin_chat_message
Natural language: "Send direct messages on LinkedIn"
Parameters: recipient_id, message, thread_id
get_linkedin_connections
Natural language: "Retrieve LinkedIn connections list"
Parameters: profile_id, degree, limit
get_linkedin_posts
Natural language: "Fetch LinkedIn posts from profiles or feeds"
Parameters: profile_id, post_type, date_range
search_instagram_posts
Natural language: "Search Instagram posts by hashtag or keyword"
Parameters: query, hashtag, post_count, include_stories
get_instagram_profile
Natural language: "Get detailed Instagram profile information"
Parameters: username, include_metrics
get_instagram_post_comments
Natural language: "Extract comments from Instagram posts"
Parameters: post_url, comment_limit
search_twitter_users
Natural language: "Search for Twitter/X user profiles"
Parameters: query, verified_only, follower_threshold
get_twitter_posts
Natural language: "Retrieve tweets from user timelines"
Parameters: username, tweet_count, include_retweets
search_reddit_posts
Natural language: "Search for Reddit posts across subreddits"
Parameters: query, subreddit, sort_by, time_range
get_reddit_comments
Natural language: "Get comments from Reddit posts"
Parameters: post_url, comment_depth
Get running in 60 seconds
Simple installation for your preferred AI tool.
1. Clone Repository
git clone https://github.com/horizondatawave/hdw-mcp-server.git cd hdw-mcp-server
2. Configure Claude Desktop
Edit ~/Library/Application Support/Claude/claude_desktop_config.json
:
{ "mcpServers": { "hdw-mcp-server": { "command": "python", "args": ["/path/to/hdw-mcp-server/main.py"], "env": { "HDW_ACCESS_TOKEN": "your_access_token_here", "HDW_ACCOUNT_ID": "your_account_id_here" } } } }
3. Restart Claude Desktop
Ask "What MCP tools do you have available?" to verify installation
1. Clone Repository
git clone https://github.com/horizondatawave/hdw-mcp-server.git cd hdw-mcp-server
2. Configure Cursor
Add to your Cursor settings:
{ "mcp.servers": { "hdw-mcp-server": { "command": "python", "args": ["/path/to/hdw-mcp-server/main.py"], "env": { "HDW_ACCESS_TOKEN": "your_access_token_here", "HDW_ACCOUNT_ID": "your_account_id_here" } } } }
3. Restart Cursor
Horizon Data Wave tools now available in your AI assistant!
See MCP in action
Real examples of how AI agents use our tools.
Example: LinkedIn Lead Research
Example: Instagram Content Analysis
Power user capabilities
Advanced features for complex workflows.
Cross-Platform Intelligence
Combine LinkedIn profiles with social media activity.
Contact Enrichment
Build complete contact profiles with verified information.
Twitter/X Integration
Analyze Twitter profiles and engagement data.
Get the most from MCP
Tips for effective queries and optimal results.
Effective Queries
❌ Don't
- "Get LinkedIn"
- "Search Instagram"
- "Reddit data"
✅ Do
- "Find senior software engineers at Google on LinkedIn"
- "Show me fitness influencers on Instagram with 10k-100k followers"
- "Find recent Reddit discussions about React vs Vue in r/webdev"
Performance Tips
- Be specific in queries to reduce API calls
- Use filtering parameters when available
- Cache results for repeated analyses
- Batch similar requests together
Common issues and solutions
Quick fixes for the most common problems.
MCP tools not showing
- • Ensure Claude Desktop is fully restarted
- • Check config file syntax
- • Verify API key is valid
Rate limit exceeded
- • MCP respects API rate limits
- • Upgrade plan for higher limits
- • Use more specific queries
No results found
- • Check query spelling
- • Verify profile/user exists
- • Try broader search terms
Error Codes
- •
MCP_AUTH_ERROR
: Invalid API key - •
MCP_RATE_LIMIT
: Too many requests - •
MCP_NOT_FOUND
: Resource doesn't exist - •
MCP_TIMEOUT
: Request took too long
Start using MCP in 3 minutes
Everything you need to get started.
Install MCP
Run the install command
Configure Tool
Add server with API key
Start Asking
Use natural language
Example: Reddit Community Research