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# SymPy Sandbox MCP English | [中文版](README.zh.md) A production-focused MCP service that lets agents/LLMs run SymPy safely and efficiently. It combines AST policy checks, runtime resource limits, and prewarmed workers to deliver low-noise, parse-friendly results. ## Features - Single tool: `sympy` (input only requires `code`) - Prewarmed worker pool to avoid repeated `import sympy` - Two-layer safety: AST guard + runtime resource limits - Compact structured JSON output for low token overhead - Standardized error codes for reliable auto-retry workflows ## Typical Use Cases - Symbolic algebra, differentiation, integration, equation solving - MCP tool integration for Codex / Cursor / Claude Desktop / custom MCP clients - Agent workflows that need controllable failures and clean error signals ## Recommended Integration (MCP client via stdio) Call example: ```bash fastmcp call \ --command 'python -m sym_mcp.server' \ --target sympy \ --input-json '{"code":"import sympy as sp\\nx=sp.Symbol(\"x\")\\nprint(sp.factor(x**2-1))"}' ``` Client config (`python -m`, recommended): ```json { "mcpServers": { "sympy-sandbox": { "command": "python", "args": ["-m", "sym_mcp.server"] } } } ``` Client config (installed as `sym-mcp`): ```json { "mcpServers": { "sympy-sandbox": { "command": "sym-mcp", "args": [] } } } ``` Client config (`uvx`): ```json { "mcpServers": { "sympy-sandbox": { "command": "uvx", "args": ["sym-mcp"] } } } ``` ## Quick Start ### 1) Requirements - Python 3.11+ - Linux / macOS (Linux recommended for production) ### 2) Install (Tsinghua mirror first) ```bash pip install -i https://pypi.tuna.tsinghua.edu.cn/simple -e . pip install -i https://pypi.tuna.tsinghua.edu.cn/simple -e ".[dev]" ``` ### 3) Run server (stdio) ```bash python -m sym_mcp.server ``` ### 4) Verify tool ```bash fastmcp list --command 'python -m sym_mcp.server' ``` ## Tool Contract ### Tool name - `s…
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