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io.github.daedalus/mcp-sympy

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MCP server that exposes SymPy's symbolic mathematics functionality

Source code Documentation

What can you do with io.github.daedalus/mcp-sympy?

  • Symbolic Expressions: symbols, sympify, simplify, expand, factor
  • Calculus: diff, integrate, limit, series, Derivative, Integral
  • Solving: solve, solveset, nsolve, diophantine, dsolve
  • Matrices: Matrix operations, inverse, determinant, eigenvalues
  • Trigonometry: sin, cos, tan, and their inverses
  • Special Functions: gamma, zeta, erf, fibonacci, etc.
  • Number Theory: isprime, prime, gcd, lcm, totient
  • Sets: FiniteSet, Interval, Union, Intersection

Install

Add this to your client's MCP configuration (Claude Desktop: claude_desktop_config.json; Cursor: .cursor/mcp.json; VS Code and others use the same "mcpServers" shape).

PYPI package mcp-sympy
Claude Code 
claude mcp add mcp-sympy -- uvx mcp-sympy==0.1.0
JSON configuration (Claude Desktop, Cursor, VS Code) 
{
    "mcpServers": {
        "mcp-sympy": {
            "command": "uvx",
            "args": [
                "mcp-sympy==0.1.0"
            ]
        }
    }
}

Documentation

From the project's README on GitHub, refreshed weekly. Links open on GitHub.

Contents
  1. mcp-sympy
  2. Install
  3. MCP Server
  4. Usage
  5. Available Tools
  6. Development
  7. License

mcp-sympy

MCP server that exposes SymPy's symbolic mathematics functionality

Install

pip install mcp-sympy

MCP Server

mcp-name: io.github.daedalus/mcp-sympy

Usage

As MCP Server

Configure in your MCP client:

{
  "mcpServers": {
    "mcp-sympy": {
      "command": "mcp-sympy",
      "env": {}
    }
  }
}
Python API
from mcp_sympy import tools

# Simplify expressions
result = tools.sympy_simplify("sin(x)**2 + cos(x)**2")
print(result)  # "1"

# Solve equations
result = tools.sympy_solve("x**2 - 4", "x")
print(result)  # "[2, -2]"

# Differentiate
result = tools.sympy_diff("x**2", "x")
print(result)  # "2*x"

# Integrate
result = tools.sympy_integrate("x**2", "x")
print(result)  # "x**3/3"

# Create matrices
result = tools.sympy_matrix("1,2; 3,4")
print(result)  # "Matrix([[1, 2], [3, 4]])"

# Number theory
result = tools.sympy_isprime("7")
print(result)  # "True"

Available Tools

The MCP server exposes comprehensive SymPy functionality including:

  • Symbolic Expressions: symbols, sympify, simplify, expand, factor
  • Calculus: diff, integrate, limit, series, Derivative, Integral
  • Solving: solve, solveset, nsolve, diophantine, dsolve
  • Matrices: Matrix operations, inverse, determinant, eigenvalues
  • Trigonometry: sin, cos, tan, and their inverses
  • Special Functions: gamma, zeta, erf, fibonacci, etc.
  • Number Theory: isprime, prime, gcd, lcm, totient
  • Sets: FiniteSet, Interval, Union, Intersection
  • Logic: And, Or, Not, Xor
  • Printing: LaTeX, MathML, Python code

Development

git clone https://github.com/daedalus/mcp-sympy.git
cd mcp-sympy
pip install -e ".[test]"

# run tests
pytest

# format
ruff format src/ tests/

# lint
ruff check src/ tests/

# type check
mypy src/

License

MIT License - see LICENSE file.

Frequently asked questions

What is io.github.daedalus/mcp-sympy?

MCP server that exposes SymPy's symbolic mathematics functionality

How do I install io.github.daedalus/mcp-sympy?

It runs on your machine. In Claude Code: claude mcp add mcp-sympy -- uvx mcp-sympy==0.1.0. For other clients, paste the JSON configuration from this page into their MCP settings.

Does io.github.daedalus/mcp-sympy need an API key?

Its registry entry lists no required key or secret. Some features may still need an account with the service it connects to.

Is io.github.daedalus/mcp-sympy open source?

Yes. Its code is on GitHub under the MIT license.

Who maintains io.github.daedalus/mcp-sympy?

It is published by daedalus. AI.tn lists it but does not maintain or endorse it.

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