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Fingertip MCP Server

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A Model Context Protocol server for Fingertip integration

Fingertip MCP provides integration capabilities for AI assistants to interact with Fingertip's services. This server enables AI models to access and utilize Fingertip's functionality through the Model Context Protocol, allowing for seamless integration between AI assistants and Fingertip's platform.

Fingertip MCP Server

The Fingertip MCP server appears to be unavailable or the repository is not publicly accessible at this time. Based on the 404 error shown in the repository content, the GitHub repository may have been moved, renamed, or made private.

Installation

To install the Fingertip MCP server when it becomes available, you would typically need to:

  1. Clone the repository from GitHub
  2. Install any dependencies
  3. Configure the server with your Fingertip credentials
  4. Start the server

Configuration

Since the repository is currently inaccessible, specific configuration details are not available. Typically, you would need to:

  1. Obtain API credentials from Fingertip
  2. Configure the MCP server with these credentials
  3. Set up any necessary environment variables

Usage

When properly configured, the Fingertip MCP server would allow AI assistants to:

  1. Connect to Fingertip's services
  2. Access functionality provided by Fingertip
  3. Integrate Fingertip capabilities into AI workflows

For the most up-to-date information, please contact Fingertip directly or check if the repository becomes available in the future.

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About Model Context Protocol

Model Context Protocol (MCP) allows AI models to access external tools and services, extending their capabilities beyond their training data.

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