What dependencies does MCP Calculate Server require?
It requires `mcp>=1.5.0` and `sympy>=1.13.3`.
@611711Dark
Basic information
MCP Calculate Server
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"calculate_expression1": {
"isActive": false,
"command": "uv",
"args": [
"run",
"--directory",
"/home/jazz/Workplace/cline/mcp_calculate_server",
"server.py"
],
"autoApprove": [],
"disabled": true
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
A mathematical calculation service based on the MCP protocol and the SymPy library, providing symbolic computation capabilities for AI agents. It allows users to perform arithmetic, algebra, calculus, equation solving, matrix operations, series expansion, and special function evaluations by sending mathematical expression strings.
Install via Smithery (npx -y @smithery/cli install @611711Dark/mcp_sympy_calculate_server --client claude) or clone the repository, set up a virtual environment with uv, and install dependencies. Configure the server in your MCP client using the calculate_expression tool, passing a mathematical expression string as input.
It requires `mcp>=1.5.0` and `sympy>=1.13.3`.
Yes. As of version 0.1.1, it parses expressions through a restricted SymPy-only evaluator that rejects Python imports, filesystem access, and other non-mathematical constructs. Oversized expressions and large results are also validated to reduce denial-of-service risk.
The server supports basic arithmetic, algebraic manipulation (expand, factor, simplify), calculus (diff, integrate, limit), equation solving (solve), matrix methods (det, inv, eigenvals, eigenvects), series expansion (series), and special functions (sin, cos, log, exp, sqrt). Symbols, constants (pi, E, oo, I), and the Sum object with .doit() are also supported.
You can install it automatically via Smithery using `npx -y @smithery/cli install @611711Dark/mcp_sympy_calculate_server --client claude`, or manually by cloning the repository, creating a virtual environment with `uv`, installing dependencies, and configuring the server in your MCP client.
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