Most AI tools are great at answering questions. They are less great at actually doing things inside your workflow.
That is changing. A new standard called the Model Context Protocol (MCP) lets AI assistants connect directly to the tools you use every day - and Splattr now supports it.
MCP is an open standard, originally developed by Anthropic, that gives AI assistants a secure, structured way to take action inside external software. Think of it as a plugin system for AI - instead of copy-pasting data in and out of a chat window, your AI can read from and write to your tools directly.
If you use Claude, Cursor, or any MCP-compatible assistant, Splattr can now appear natively inside it.
Once connected, your AI assistant can:
Find prospects - Run a campaign search and surface the best-fit accounts based on your ICP.
Score and prioritize - Get scored prospect lists without touching a dashboard.
Enrich contacts - Look up verified emails and phone numbers for any prospect in your pipeline.
Generate research reports -Trigger a deep-dive report on any account, ready to use before your first call.
Push to your CRM - Send qualified prospects directly to HubSpot, Salesforce, or another connected CRM.
Check your credit balance - Know where you stand without logging in.
All of it is available through natural language. You ask, your AI handles it.
You do not need to be a developer to use this. If you are already using Claude Desktop or Cursor as part of your daily workflow, adding Splattr takes a few minutes. Follow the quickstart guide to get connected.
For teams building custom AI workflows or internal agents, the MCP server exposes a documented JSON schema you can query programmatically - no manual syncing required.
The shift toward AI-assisted work is not about replacing sales reps. It is about removing the friction between research, prioritization, and outreach.
With MCP, Splattr becomes part of your AI's context - not a separate tab you have to manage. That means faster prep, tighter execution, and less time spent moving data around.
We are just getting started with what is possible here. If you have ideas for how this could fit into your workflow, we want to hear them.
Get started at splattr.ai/docs/mcp/quickstart.