io.github.daedalus/mcp-sympy

mcp-sympy

MCP server that exposes SymPy's symbolic mathematics functionality

6 tools GitHub PyPI

No known CVEs

No license

Maintained

Last commit 38d ago

Works with most clients

Transport: stdio, sse, http

6 tools · ~459 tok

Grade A · 0.2% of 200K ctx

Edit this pageView history

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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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

82/100across 5 weighted dimensions

How we score →

0255075100

−18

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. It does not require authentication, so any local process can connect — keep this in mind in shared environments.
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 recently maintained — last commit was 38 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. It does not require authentication, so any local process can connect — keep this in mind in shared environments.

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 recently maintained — last commit was 38 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.