MCP-Server-ClaudeDesktop
LocalAbout MCP-Server-ClaudeDesktop
MCP-Server-ClaudeDesktop provides a lead-scoring assistant for Claude, helping sales teams qualify and prioritize prospects. It can score leads from company size, budget, and intent, and retrieve recent leads.
Key features
- 01Score leads using company size, budget, and intent
- 02Qualify leads as hot, warm, or cold
- 03View recent leads
- 04Provide AI prioritization insights
Use cases
- 01Rank incoming leads for sales follow-up
- 02Review recent leads while organizing a sales pipeline
MCP support
The project exposes lead-scoring capabilities to Claude through MCP tools, resources, and prompts.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.
Tools
Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.
Details
From the project READMEMCP-Server-ClaudeDesktop
📈 Just Built a Lead Scoring Assistant for Claude Using MCP! 🤖
I’ve just created an AI-powered Lead Scoring Assistant with MCP that helps you prioritize and score leads on the fly—based on company size, budget, and intent. Now, scoring leads has never been easier or faster!
With this integration, I can now:
-- Automatically score and qualify leads as they come in based on key data points -- View recent leads with a quick command, keeping my sales pipeline organized -- Get instant AI insights to help prioritize the best leads to follow up with!
An example prompt could be: "Score the lead from Acme Industries, a manufacturing company with 5000 employees, a $100k budget, and an intent score of 90." The system will instantly score the lead and tell me if it’s a hot, warm, or cold lead—saving valuable time! With MCP, I can integrate all these tools, resources, and prompts seamlessly to make lead qualification smarter, faster, and more effective.
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.