Search, analyze, and act on client conversations
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
Vibe Prospecting
Find and enrich company and contact data in Claude for prospecting, lead generation, recruiting, and CRM enrichment across 150M+ companies and 800M+ contacts
Sumble
Deep research any account's teams, tech, and people
OpusClip
Turn long videos into viral short clips
Crunchbase
Access reliable company data, market signals, and forward-looking predictions to research organizations, compare performance, uncover emerging trends, and make faster, more informed business decisions
Taplio
Run your LinkedIn by talking to Claude. Schedule content, pull inspiration from 5M+ viral posts, and get your analytics as plain answers.
I recommend Attention for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
We wired Attention into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
Attention is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
Useful MCP listing: Attention is the kind of server we cite when onboarding engineers to host + tool permissions.
We evaluated Attention against two servers with overlapping tools; this profile had the clearer scope statement.
We evaluated Attention against two servers with overlapping tools; this profile had the clearer scope statement.
Attention reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
Attention is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
According to our notes, Attention benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
Strong directory entry: Attention surfaces stars and publisher context so we could sanity-check maintenance before adopting.
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Manual configuration
{
"mcpServers": {
"attention": {
"url": "https://api.attention.tech/mcp"
}
}
}Sign in: Required.
Search, analyze, and act on client conversations
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.
Jotform
Create forms, surveys, quizzes & analyze submissions