Fingertip MCP Server

What does “Fingertip” MCP Server do?

The Fingertip MCP (Model Context Protocol) Server acts as a powerful bridge between AI assistants and external data sources, APIs, or services. By exposing a standardized interface, it enables development workflows that require dynamic access to databases, file systems, APIs, and other resources directly from AI-powered clients. Developers can use the Fingertip MCP Server to streamline tasks such as querying information, managing files, integrating with third-party services, or automating repetitive operations within their coding environments. This not only accelerates development but also increases the scope and intelligence of AI assistants by providing them with actionable tools and real-time data.

List of Prompts

No information found in the repository regarding prompt templates.

List of Resources

No information found in the repository about resources provided to AI clients.

List of Tools

No information found in server.py or related files about specific tools provided by the Fingertip MCP Server.

Use Cases of this MCP Server

No detailed use cases described in the repository.

How to set it up

Windsurf

1. Ensure Node.js is installed on your system.
2. Open your Windsurf configuration file.
3. Add the Fingertip MCP Server to the mcpServers section using the following JSON snippet:

{
  "fingertip-mcp": {
    "command": "npx",
    "args": ["@fingertip/mcp-server@latest"]
  }
}

4. Save the configuration and restart Windsurf.
5. Verify that the Fingertip MCP Server is running and accessible within your Windsurf environment.

Claude

1. Install Node.js if not already present.
2. Locate the Claude configuration file.
3. Add the following to your mcpServers section:

{
  "fingertip-mcp": {
    "command": "npx",
    "args": ["@fingertip/mcp-server@latest"]
  }
}

4. Save changes and restart Claude.
5. Confirm that the Fingertip MCP Server is integrated.

Cursor

1. Make sure Node.js is installed.
2. Open the Cursor settings/configuration file.
3. Insert the Fingertip MCP Server configuration:

{
  "fingertip-mcp": {
    "command": "npx",
    "args": ["@fingertip/mcp-server@latest"]
  }
}

4. Save and restart Cursor.
5. Check that the server is listed among available MCP servers.

Cline

1. Ensure Node.js is available.
2. Edit the Cline configuration file.
3. Add the Fingertip MCP Server as follows:

{
  "fingertip-mcp": {
    "command": "npx",
    "args": ["@fingertip/mcp-server@latest"]
  }
}

4. Save the file and restart Cline.
5. Verify the server’s status within Cline.

Securing API Keys (for all platforms)

To securely handle API keys, use environment variables in your configuration. Example:

{
  "fingertip-mcp": {
    "command": "npx",
    "args": ["@fingertip/mcp-server@latest"],
    "env": {
      "API_KEY": "${API_KEY_ENV_VAR}"
    },
    "inputs": {
      "apiKey": "${API_KEY_ENV_VAR}"
    }
  }
}

How to use this MCP inside flows

Using MCP in FlowHunt

To integrate MCP servers into your FlowHunt workflow, start by adding the MCP component to your flow and connecting it to your AI agent:

Click on the MCP component to open the configuration panel. In the system MCP configuration section, insert your MCP server details using this JSON format:

{
  "fingertip-mcp": {
    "transport": "streamable_http",
    "url": "https://yourmcpserver.example/pathtothemcp/url"
  }
}

Once configured, the AI agent is now able to use this MCP as a tool with access to all its functions and capabilities. Remember to change “fingertip-mcp” to whatever the actual name of your MCP server is and replace the URL with your own MCP server URL.

Overview

Our opinion

The Fingertip MCP Server repository lacks detailed documentation and clear information about prompts, resources, tools, or advanced MCP features. Its setup instructions are generic, and there is no evidence of advanced MCP capabilities. Based on the tables above, I would rate this MCP a 2/10 for overall usability and documentation.

MCP Score