Search and enrich B2B company and people 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
Supersei CRM
Run your Supersei sales CRM from a conversation: leads, calls, WhatsApp, meetings, campaigns, reports and workspace setup, with exactly your permissions.
Contract-Factory — Sociétés & SIREN
Infos officielles des entreprises françaises (RNE)
Nutshell CRM
Connect Claude to Nutshell CRM to search leads, contacts, and companies, pull sales reports, and review deal timelines - all without leaving chat.
Vertiso Memory
Portable, durable memory for every AI agent you use
Cotality
Access Cotality’s property and location intelligence
Crustdata is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
Crustdata is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
Crustdata is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
I recommend Crustdata for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
We wired Crustdata into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
Crustdata is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
Crustdata reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
We evaluated Crustdata against two servers with overlapping tools; this profile had the clearer scope statement.
According to our notes, Crustdata benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
Crustdata is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
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Manual configuration
{
"mcpServers": {
"crustdata": {
"url": "https://mcp.crustdata.com/mcp"
}
}
}Sign in: Required.
Search and enrich B2B company and people 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.
Restream
Create and manage live streams on 30+ destinations