io.github.daedalus/mcp-sympy

mcp-sympy

MCP server that exposes SymPy's symbolic mathematics functionality

6 tools GitHub PyPI

No known CVEs

MIT license

Stale

Last commit 205d ago

Works with most clients

Transport: stdio, sse, http

6 tools · ~459 tok

Grade A · 0.2% of 200K ctx

MCPpedia last refreshed this data 2d ago

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io.github.daedalus/mcp-sympy is an MCP server that MCP server that exposes SymPy's symbolic mathematics functionality. Its tool list has not been published yet over stdio, sse and http, requires no API key, and scores 77/100 on MCPpedia's security, maintenance and efficiency rubric.

Education

Step 1

Install in your client

Config is the same across clients - only the file and path differ.

Supported in Claude Desktopstdio, sse, http · Node 18+

Paste into ~/Library/Application Support/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "mcp-sympy": {
      "env": {},
      "command": "mcp-sympy"
    }
  }
}

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[![MCPpedia Score](https://mcppedia.org/api/badge/io-github-daedalus-mcp-sympy)](https://mcppedia.org/s/io-github-daedalus-mcp-sympy)

Read me

What io.github.daedalus/mcp-sympy does

MCP server that exposes SymPy's symbolic mathematics functionality

Test This Server

Run this in your terminal to verify the server starts. Then let us know if it worked - your result helps other developers.

uvx 'mcp-sympy' 2>&1 | head -1 && echo "✓ Server started successfully"

After testing, let us know if it worked:

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Scored, not listed

Why this score

Five weighted categories - click any category to see the underlying evidence.

Score breakdown

77/100across 5 weighted dimensions

How we score →

0255075100

−23

Security

Maintenance

Efficiency

Documentation

Compatibility

Categoriesclick a row to see evidence

Security

OSV.dev

No known CVEs.

Checked mcp-sympy against OSV.dev.

Inventory

Tools (6)

Click any tool to inspect its schema.

~459 tokens total

Community

Reviews

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How easy was setup?Did it work reliably?How was the documentation?

Frequently Asked Questions

Is io.github.daedalus/mcp-sympy safe to use?: io.github.daedalus/mcp-sympy has no known CVEs as of the latest MCPpedia security scan. Authentication requirements were not detected automatically - check the project's documentation before connecting in a shared environment. Licensed under MIT.
How do I install io.github.daedalus/mcp-sympy?: io.github.daedalus/mcp-sympy supports copy-paste install configs on its MCPpedia page for Claude Desktop, Cursor, and Claude Code. Scroll to the Quick Install section and select your client.
What can io.github.daedalus/mcp-sympy do?: io.github.daedalus/mcp-sympy provides 6 tools: sympy_simplify, sympy_solve, sympy_diff, sympy_integrate, sympy_matrix and 1 more. See the full tools list on the server page for descriptions and parameters.
What AI clients work with io.github.daedalus/mcp-sympy?: io.github.daedalus/mcp-sympy is compatible with claude-desktop, cursor, claude-code. It uses stdio and sse and http transport.
Is io.github.daedalus/mcp-sympy actively maintained?: io.github.daedalus/mcp-sympy is less actively maintained - last commit was 205 days ago.

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Community

Discussion

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Has anyone used this with Cursor?How do you handle auth?Any alternatives?

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

Frequently Asked Questions

Is io.github.daedalus/mcp-sympy safe to use?

io.github.daedalus/mcp-sympy has no known CVEs as of the latest MCPpedia security scan. Authentication requirements were not detected automatically - check the project's documentation before connecting in a shared environment. Licensed under MIT.

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

io.github.daedalus/mcp-sympy supports copy-paste install configs on its MCPpedia page for Claude Desktop, Cursor, and Claude Code. Scroll to the Quick Install section and select your client.

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

io.github.daedalus/mcp-sympy provides 6 tools: sympy_simplify, sympy_solve, sympy_diff, sympy_integrate, sympy_matrix and 1 more. See the full tools list on the server page for descriptions and parameters.

What AI clients work with io.github.daedalus/mcp-sympy?

io.github.daedalus/mcp-sympy is compatible with claude-desktop, cursor, claude-code. It uses stdio and sse and http transport.

Is io.github.daedalus/mcp-sympy actively maintained?

io.github.daedalus/mcp-sympy is less actively maintained - last commit was 205 days ago.

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.