math-mcp-server

by swaroopkasaraneni

190 downloads

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Description

# math-mcp-server [![smithery badge](https://smithery.ai/badge/@swaroopkasaraneni/math-mcp-server)](https://smithery.ai/server/@swaroopkasaraneni/math-mcp-server) Math MCP is a protocol that exposes mathematical operations for Claude Desktop. This project fulfills the Model…

About

Details

Author: swaroopkasaraneni
Downloads: 190
Categories: Other, Developer Tools

Setting up with Highlight

This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:

Download and install Highlight from highlightai.com/download
Navigate to the plugins tab and select "Add Custom Plugin"
Configure the plugin with the settings below

Plugin Name math-mcp-server

Command (node, npx, python, etc.)

Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
Enable "Start Automatically" if you want the plugin to start when Highlight launches

Setting up with Cursor

Open Cursor's settings
Navigate to the MCP section
Click "Add new Global MCP server"
Copy and paste the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "math-mcp-server": {
            "math-mcp-server": {
                "command": "npx",
                "args": [
                    "-y",
                    "@smithery/cli",
                    "install",
                    "@swaroopkasaraneni/math-mcp-server",
                    "--client",
                    "claude"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "math-mcp-server": {
            "math-mcp-server": {
                "command": "npx",
                "args": [
                    "-y",
                    "@smithery/cli",
                    "install",
                    "@swaroopkasaraneni/math-mcp-server",
                    "--client",
                    "claude"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "math-mcp-server": {
            "math-mcp-server": {
                "command": "npx",
                "args": [
                    "-y",
                    "@smithery/cli",
                    "install",
                    "@swaroopkasaraneni/math-mcp-server",
                    "--client",
                    "claude"
                ]
            }
        }
    }
}

Setting up with Claude Desktop

Open Claude Desktop's settings
Go to the Integrations tab
Click "Add MCP Server"
Use the configuration below based on your operating system

Note: Make sure Claude Desktop is running before attempting to connect.

JSON

{
    "mcpServers": {
        "math-mcp-server": {
            "math-mcp-server": {
                "command": "npx",
                "args": [
                    "-y",
                    "@smithery/cli",
                    "install",
                    "@swaroopkasaraneni/math-mcp-server",
                    "--client",
                    "claude"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "math-mcp-server": {
            "math-mcp-server": {
                "command": "npx",
                "args": [
                    "-y",
                    "@smithery/cli",
                    "install",
                    "@swaroopkasaraneni/math-mcp-server",
                    "--client",
                    "claude"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "math-mcp-server": {
            "math-mcp-server": {
                "command": "npx",
                "args": [
                    "-y",
                    "@smithery/cli",
                    "install",
                    "@swaroopkasaraneni/math-mcp-server",
                    "--client",
                    "claude"
                ]
            }
        }
    }
}

Setting up with Windsurf

Open Windsurf's preferences
Go to the Integrations section
Click "Add MCP Integration"
Use the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "math-mcp-server": {
            "math-mcp-server": {
                "command": "npx",
                "args": [
                    "-y",
                    "@smithery/cli",
                    "install",
                    "@swaroopkasaraneni/math-mcp-server",
                    "--client",
                    "claude"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "math-mcp-server": {
            "math-mcp-server": {
                "command": "npx",
                "args": [
                    "-y",
                    "@smithery/cli",
                    "install",
                    "@swaroopkasaraneni/math-mcp-server",
                    "--client",
                    "claude"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "math-mcp-server": {
            "math-mcp-server": {
                "command": "npx",
                "args": [
                    "-y",
                    "@smithery/cli",
                    "install",
                    "@swaroopkasaraneni/math-mcp-server",
                    "--client",
                    "claude"
                ]
            }
        }
    }
}

Setting up with Cline

Open Cline's settings
Navigate to the Integrations section
Click "Add MCP Server"
Copy and paste the configuration below based on your operating system

Note: Make sure to restart Cline after adding the configuration.

JSON

{
    "mcpServers": {
        "math-mcp-server": {
            "math-mcp-server": {
                "command": "npx",
                "args": [
                    "-y",
                    "@smithery/cli",
                    "install",
                    "@swaroopkasaraneni/math-mcp-server",
                    "--client",
                    "claude"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "math-mcp-server": {
            "math-mcp-server": {
                "command": "npx",
                "args": [
                    "-y",
                    "@smithery/cli",
                    "install",
                    "@swaroopkasaraneni/math-mcp-server",
                    "--client",
                    "claude"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "math-mcp-server": {
            "math-mcp-server": {
                "command": "npx",
                "args": [
                    "-y",
                    "@smithery/cli",
                    "install",
                    "@swaroopkasaraneni/math-mcp-server",
                    "--client",
                    "claude"
                ]
            }
        }
    }
}

Setting up with Goose

Open Goose's preferences
Go to the Integrations tab
Select "MCP Servers"
Click "Add New Server"
Use the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "math-mcp-server": {
            "math-mcp-server": {
                "command": "npx",
                "args": [
                    "-y",
                    "@smithery/cli",
                    "install",
                    "@swaroopkasaraneni/math-mcp-server",
                    "--client",
                    "claude"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "math-mcp-server": {
            "math-mcp-server": {
                "command": "npx",
                "args": [
                    "-y",
                    "@smithery/cli",
                    "install",
                    "@swaroopkasaraneni/math-mcp-server",
                    "--client",
                    "claude"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "math-mcp-server": {
            "math-mcp-server": {
                "command": "npx",
                "args": [
                    "-y",
                    "@smithery/cli",
                    "install",
                    "@swaroopkasaraneni/math-mcp-server",
                    "--client",
                    "claude"
                ]
            }
        }
    }
}

From the repository

Install automatically via Smithery with npx -y @smithery/cli install @swaroopkasaraneni/math-mcp-server --client claude, or manually by cloning the repository, running npm install and npm run build, then starting the server with npm start. The client can then call the exposed methods.

`basic_arithmetic`

Brief description: Basic arithmetic operations tool for standard mathematical operations. For factorial, use mathematical_functions tool instead Examples: basic_arithmetic(operation='add', numbers=[1, 2, 3, 4, 5]) basic_arithmetic(operation='multiply', numbers=[2.5, 3.7], precision=3) basic_arithmetic(operation='power', numbers=[2, 3]) # Calculate 2^3

`mathematical_functions`

Brief description: Mathematical function calculation tool, supporting trigonometric, logarithmic, exponential functions, etc. Examples: mathematical_functions(function='sin', value=1.57, angle_unit='radians') mathematical_functions(function='log', value=100, base=10)

`number_converter`

Brief description: Number format conversion tool, supporting base conversion, scientific notation, etc. Examples: number_converter(number='255', from_base=10, to_base=16) number_converter(number='1010', from_base=2, to_base=10)

`unit_converter`

Brief description: Physical unit conversion tool, supporting length, weight, temperature, etc., unit conversions. Examples: unit_converter(value=100, from_unit='cm', to_unit='m', unit_type='length') unit_converter(value=32, from_unit='fahrenheit', to_unit='celsius', unit_type='temperature')

`precision_calculator`

Brief description: High-precision calculation tool using decimal arithmetic for enhanced accuracy. Provides precise calculations where floating-point errors matter. // Examples: precision_calculator(numbers=[1.123, 2.987], operation='add', precision_digits=15) precision_calculator(numbers=[2], operation='sqrt', precision_digits=20) precision_calculator(numbers=[5], operation='factorial', precision_digits=10)

`number_properties`

Brief description: Numerical property analysis tool, analyzes various mathematical properties of numbers. Examples: number_properties(number=17, analysis_type='comprehensive') number_properties(number=100, analysis_type='factor')

`matrix_calculator`

Brief description: Matrix and linear algebra calculation tool, supporting basic operations and advanced analysis. Examples: matrix_calculator(operation='multiply', matrix_a=[[1,2],[3,4]], matrix_b=[[5,6],[7,8]]) matrix_calculator(operation='eigenvalues', matrix_a=[[4,2],[1,3]])

`statistics_analyzer`

Brief description: Comprehensive statistical analysis tool, supporting descriptive statistics, hypothesis testing, and distribution analysis. Examples: statistics_analyzer(data1=[1,2,3,4,5], analysis_type='descriptive') statistics_analyzer(data1=[1,2,3], data2=[4,5,6], analysis_type='comparison')

`calculus_engine`

Brief description: Advanced calculus computation engine, supporting derivatives, integrals, limits, series, and differential equations. Examples: calculus_engine(expression='x**2 + 3*x + 1', operation='derivative', variable='x') calculus_engine(expression='sin(x)', operation='integral', variable='x', limits=[0, 3.14159])

`optimization_suite`

Brief description: Professional optimization suite, supporting function optimization, constraint optimization, root finding, and linear programming. Examples: optimization_suite(objective_function='x**2 + y**2', variables=['x', 'y'], operation='minimize') optimization_suite(equation='x**2 - 4', operation='find_roots')

`regression_modeler`

Brief description: Regression analysis and machine learning modeling tool, supporting various regression algorithms and prediction functions. Examples: regression_modeler(operation='fit', x_data=[[1], [2], [3]], y_data=[2, 4, 6], model_type='linear') regression_modeler(operation='predict', x_data=[[12]], training_x=[[1], [2], [3]], training_y=[2, 4, 6])

`expression_evaluator`

Brief description: Mathematical expression evaluation and symbolic computation tool. Examples: expression_evaluator(expression='2*x + 3*y', variables={'x': 5, 'y': 7}) expression_evaluator(expression='x**2 + 2*x + 1', mode='factor')

`create_and_save_chart`

Brief description: Data visualization and chart creation tool, supporting various statistical chart types. Examples: create_and_save_chart(chart_type='line', x_data=[1,2,3,4], y_data=[1,4,2,3], title='Line Plot') create_and_save_chart(chart_type='histogram', data=[1,2,2,3,3,3,4,4,5], filename='histogram_plot')

`plot_function_curve`

Brief description: Mathematical function curve plotting tool, supporting function graph visualization and derivative analysis. Examples: plot_function_curve(function_expression='x**2 + 2*x + 1') plot_function_curve(function_expression='sin(x)', x_range=(-6.28, 6.28), filename='sine_wave')

`geometry_calculator`

Brief description: Powerful geometry calculation tool, supporting plane geometry, solid geometry, and analytical geometry calculations. Examples: geometry_calculator(shape_type='circle', operation='properties', dimensions={'radius': 5}) geometry_calculator(shape_type='triangle', operation='area', points=[[0,0], [3,0], [0,4]])

`number_theory_calculator`

Brief description: Advanced number theory calculation tool, supporting prime testing, factorization, modular arithmetic, etc. Examples: number_theory_calculator(operation='prime_factorization', number=60) number_theory_calculator(operation='prime_test', number=97)

`signal_processing_calculator`

Brief description: Professional digital signal processing tool, supporting FFT, filtering, modulation/demodulation, etc. Examples: signal_processing_calculator(operation='generate_signal', signal_type='sine', frequency=10, sampling_rate=1000, duration=1) signal_processing_calculator(operation='fft', signal=[1,2,3,4,5,6,7,8], sampling_rate=8)

`financial_calculator`

Brief description: Professional financial mathematics calculation tool, supporting compound interest, investment analysis, risk assessment, etc. Examples: financial_calculator(operation='compound_interest', principal=1000, rate=0.05, time=10) financial_calculator(operation='npv', cash_flows=[-1000, 300, 400, 500], rate=0.1)

`probability_calculator`

Brief description: Probability and statistics calculation tool, supporting probability distributions, hypothesis testing, Bayesian analysis, etc. Examples: probability_calculator(operation='probability_mass', distribution='normal', parameters={'mu':0,'sigma':1}, x_value=1.96) probability_calculator(operation='cumulative_distribution', distribution='normal', parameters={'mu':20,'sigma':3}, x_value=25) probability_calculator(operation='random_sampling', distribution='binomial', parameters={'n':10,'p':0.3}, n_samples=100)

`complex_analysis_suite`

Brief description: Powerful complex analysis and complex function tool, supporting complex number form conversion, residue calculation, analytic continuation, complex plane visualization, and other advanced features. Examples: complex_analysis_suite(operation='convert_form', complex_number='3+4i') complex_analysis_suite(operation='function_evaluation', function_expression='z**2 + 1', complex_number='1+i') complex_analysis_suite(operation='residue_calculation', function_expression='1/(z**2 + 1)', singularities=['i', '-i'])

`graph_theory_suite`

Brief description: Professional graph theory analysis tool, supporting shortest path, maximum flow, connectivity analysis, centrality calculation, community detection, spectral analysis, and other comprehensive graph theory functions. Examples: graph_theory_suite(operation='shortest_path', edge_list=[[1,2], [2,3], [1,3]], source_node=1, target_node=3) graph_theory_suite(operation='centrality_analysis', graph_data={'nodes': [1,2,3], 'edges': [[1,2], [2,3]]}) graph_theory_suite(operation='graph_visualization', adjacency_matrix=[[0,1,1],[1,0,1],[1,1,0]], filename='graph_plot')

`cleanup_resources`

Brief description: Deletes files generated in OUTPUT_PATH (or default temporary directory) and performs basic resource cleanup. Call only when the user explicitly indicates deletion of temporary or output files. Examples: cleanup_resources()

Claude Desktop / Cursor

Paste into your MCP client config file to install this server.

{
    "mcpServers": {
        "math-mcp-server": {
            "math-mcp-server": {
                "command": "npx",
                "args": [
                    "-y",
                    "@smithery/cli",
                    "install",
                    "@swaroopkasaraneni/math-mcp-server",
                    "--client",
                    "claude"
                ]
            }
        }
    }
}

McpServers

{
    "math-mcp-server": {
        "command": "npx",
        "args": [
            "-y",
            "@smithery/cli",
            "install",
            "@swaroopkasaraneni/math-mcp-server",
            "--client",
            "claude"
        ]
    }
}

math-mcp-server

$smithery badge$

Math MCP is a protocol that exposes mathematical operations for Claude Desktop. This project fulfills the Model Context Protocol (MCP) standard, allowing dynamic integration of large language models with external applications. Once you start the Math MCP, the protocol will listen for calls from an MCP client, and respond with the operations it exposes via MCP.

Installing via Smithery

To install math-mcp-server for Claude Desktop automatically via Smithery:

npx -y @smithery/cli install @swaroopkasaraneni/math-mcp-server --client claude

Manual Installation

1. Clone the repository:

git clone https://github.com/swaroopkasaraneni/math-mcp-server/

cd math-mcp-server

2. Install dependencies and build:

npm install
npm run build

Usage

Start the server with:

npm start

The client will then be able to call methods exposed by this protocol. More details about implementing MCP can be found in the Model Context Protocol Documentation.

License

This project is licensed under the MIT License.

Credits

- Developed by Swaroop Kasaraneni

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Description

About

Details

Jump to

Setting up with Highlight

From the repository

basic_arithmetic

mathematical_functions

number_converter

unit_converter

precision_calculator

number_properties

matrix_calculator

statistics_analyzer

calculus_engine

optimization_suite

regression_modeler

expression_evaluator

create_and_save_chart

plot_function_curve

geometry_calculator

number_theory_calculator

signal_processing_calculator

financial_calculator

probability_calculator

complex_analysis_suite

graph_theory_suite

cleanup_resources

Claude Desktop / Cursor

McpServers

math-mcp-server

Installing via Smithery

Manual Installation

Usage

License

Credits

Install

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`basic_arithmetic`

`mathematical_functions`

`number_converter`

`unit_converter`

`precision_calculator`

`number_properties`

`matrix_calculator`

`statistics_analyzer`

`calculus_engine`

`optimization_suite`

`regression_modeler`

`expression_evaluator`

`create_and_save_chart`

`plot_function_curve`

`geometry_calculator`

`number_theory_calculator`

`signal_processing_calculator`

`financial_calculator`

`probability_calculator`

`complex_analysis_suite`

`graph_theory_suite`

`cleanup_resources`