What dependencies does MCP Calculate Server require?
It requires `mcp>=1.5.0` and `sympy>=1.13.3`.
@611711Dark
基本情報
MCP Calculate Server
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"calculate_expression1": {
"isActive": false,
"command": "uv",
"args": [
"run",
"--directory",
"/home/jazz/Workplace/cline/mcp_calculate_server",
"server.py"
],
"autoApprove": [],
"disabled": true
}
}
}ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。
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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