Pull Profound Visibility, Citation, & AI Bot Visit Data
Add new capabilities to Claude beyond text generation
Example: Access external data sources, execute code, interact with tools and services
Transform Claude from chatbot to action-taking agent
Provide Claude with access to relevant context and data
Example: Load project documentation, access knowledge bases, query databases
Get more accurate, context-aware responses
Automate multi-step workflows combining AI and external tools
Example: Research → Summarize → Create document → Send notification
Complete complex tasks end-to-end without manual steps
Time estimate: 15-60 minutes depending on server complexity
Prerequisites
Typefully - Social Media Scheduler
Social media scheduler for great writing on X (Twitter), LinkedIn, Substack, Threads, Bluesky, and Mastodon.
ActiveCampaign
Create and send campaigns, build automations, automate reporting, and analyze performance
AdWhispr Ads
Research any brand's live Facebook and TikTok ads, find your real competitors, and launch campaigns on Google, TikTok, and Meta from chat.
Cloze MCP
Cloze Relationship Management
Attention
Search, analyze, and act on client conversations
Sumble
Useful MCP listing: Profound is the kind of server we cite when onboarding engineers to host + tool permissions.
Strong directory entry: Profound surfaces stars and publisher context so we could sanity-check maintenance before adopting.
Profound is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
I recommend Profound for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
We evaluated Profound against two servers with overlapping tools; this profile had the clearer scope statement.
Profound has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
According to our notes, Profound benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
According to our notes, Profound benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
I recommend Profound for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
According to our notes, Profound benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
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Manual configuration
{
"mcpServers": {
"profound": {
"url": "https://mcp.tryprofound.com/mcp"
}
}
}Sign in: Required.
Pull Profound Visibility, Citation, & AI Bot Visit Data
Steps
Troubleshooting
✓ Do
✗ Don't
💡 Pro Tips
Architecture
Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.
Protocols
Compatibility
✓ Use when
Use when you need Claude to access external data, execute actions, or integrate with tools. Best for extending AI capabilities beyond conversation.
✗ Avoid when
Avoid when native integrations exist (use official APIs directly), for real-time critical systems, or when security/compliance requires zero external dependencies.
Deep research any account's teams, tech, and people