Calculator MCP Server

What does “Calculator” MCP Server do?

The Calculator MCP Server is a Model Context Protocol (MCP) server developed to provide precise numerical calculation capabilities to AI assistants and LLMs. By exposing a calculation tool via the MCP protocol, this server allows AI clients to evaluate mathematical expressions programmatically. The Calculator MCP Server enhances development workflows by enabling automated, accurate computation directly within AI-driven environments, supporting use cases that require dynamic math evaluation. It is especially useful for scenarios where LLMs need to provide results for mathematical queries, perform data analysis, or integrate calculation steps within broader workflows.

List of Prompts

No prompt templates are mentioned in the repository.

List of Resources

No MCP resources are explicitly described in the repository.

List of Tools

• calculate
  Calculates/evaluates the given expression.
  • expression (string, required): The mathematical expression to be calculated.

Use Cases of this MCP Server

• Mathematical Query Resolution
  Enables AI assistants to solve mathematical questions or perform calculations as part of their responses to users.
• Data Analysis Support
  Assists in processing and analyzing data by evaluating mathematical expressions within automated workflows.
• Codebase Testing and Evaluation
  Allows for embedding and evaluating calculations in test cases or code evaluation pipelines.
• API Integration
  Facilitates integration with other services or APIs that require computation of expressions as part of their data processing.

How to set it up

Windsurf

1. Ensure you have Python or uv installed.
2. Open your Windsurf user configuration file.
3. Add the Calculator MCP Server using:

   "mcpServers": {
     "calculator": {
       "command": "uvx",
       "args": ["mcp-server-calculator"]
     }
   }
   

4. Save the file and restart Windsurf.
5. Verify by checking for calculator tool availability.

Claude

1. Install mcp-server-calculator via pip or uv.
2. Open the Claude MCP client/server configuration.
3. Add:

   "mcpServers": {
     "calculator": {
       "command": "uvx",
       "args": ["mcp-server-calculator"]
     }
   }
   

4. Save and restart Claude.
5. Confirm the calculator tool is listed.

Cursor

1. Install with pip install mcp-server-calculator or using uv.
2. Open Cursor’s configuration panel or file.
3. Add the following JSON snippet:

   "mcpServers": {
     "calculator": {
       "command": "uvx",
       "args": ["mcp-server-calculator"]
     }
   }
   

4. Save changes and restart Cursor.
5. Check if the tool appears in tool selection.

Cline

1. Install using pip install mcp-server-calculator or uv.
2. Locate the Cline MCP configuration file.
3. Insert:

   "mcpServers": {
     "calculator": {
       "command": "uvx",
       "args": ["mcp-server-calculator"]
     }
   }
   

4. Save and restart Cline.
5. Validate by running a calculation prompt.

Securing API Keys
This server does not require API keys or secrets based on available documentation. If needed, you can use environment variables in your configuration like:

"env": {
  "MY_SECRET": "${MY_SECRET_ENV_VAR}"
},
"inputs": {
  "api_key": "${MY_SECRET_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:

{
  "calculator": {
    "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 “calculator” to whatever the actual name of your MCP server is and replace the URL with your own MCP server URL.

Overview

Based on the above, the Calculator MCP Server is highly focused and lightweight. Its documentation is clear for setup, but lacks prompt and resource extensibility.

Our opinion

This MCP server is extremely simple and focused on numerical calculation, with good setup instructions but minimal extensibility. It’s great for its purpose, but not for more advanced workflows. Based on the tables, I would rate this MCP server a 5/10: it’s solid, easy to use, but limited in features.

MCP Score