calc-mcp-server

calc-mcp-server

An MCP server that performs exact arithmetic calculations, avoiding the pitfalls of float64 and unsafe eval, with resource limits for safe execution.

Category
访问服务器

README

Calculator MCP Server

<!-- mcp-name: io.github.slettmayer/calc-mcp-server -->

PyPI Python License: MIT

An MCP server that does arithmetic, exactly — so an LLM does not have to do it mentally.

One tool, calculate, evaluating expressions against a hand-rolled AST allowlist. No eval(), no sympy, no unbounded dependencies.

2 + 3 * (4 - 1) / 2 ** 2   ->  4.25
sqrt(16) + sin(pi/2)       ->  5.0
123456789 * 987654321      ->  121932631112635269

Why this exists

The widely-used mcp-server-calculator package is abandoned (last commit May 2025) and declares mcp>=1.4.1 with no upper bound. When the MCP Python SDK released v2 and removed mcp.server.fastmcp, every uvx …@latest install of it started crashing on import — which took down the entire MCP proxy hosting it, and every other server alongside it.

No maintained Python replacement exists. The one actively-maintained npm calculator computes in float64, so 123456789 * 987654321 comes back as 121932631112635260 — off by 9. That is a poor trait in a tool whose whole purpose is that the model should not be doing the arithmetic itself.

So this server:

  • bounds its one dependency (mcp[cli]>=2,<3) — the failure above cannot recur here;
  • keeps integers exact at any size, never coercing to float;
  • bounds resource use, not just code execution — see below.

Safety

Two problems, and most calculator servers only solve the first.

Code execution. Expressions are parsed with ast.parse and walked against an explicit allowlist of node types. Attribute is not on it, so (1).__class__.__bases__ is rejected. A Call is only evaluated when its target is a bare name in the function allowlist, so __import__('os').system(…) is rejected before any argument is even evaluated.

Resource exhaustion. An allowlist alone still lets 9**9**9 occupy the process for minutes on unbounded bignum exponentiation — the incumbent hangs for over five seconds on it. Four caps close that: expression length (500 chars), nesting depth (32), result size (4300 digits, checked on the operands before exponentiating), and factorial argument (1000).

Full detail in docs/tech/SAFE-EVALUATION.md.

Install

uvx calc-mcp-server

Pin it. Do not add @latest — that is how the package this replaces broke.

Configure

As a stdio MCP server:

{
  "mcpServers": {
    "calculator": {
      "command": "uvx",
      "args": ["calc-mcp-server"]
    }
  }
}

The calculate tool

Argument Type Description
expression str The expression to evaluate

Returns the result as a string, or a line starting with Error: explaining why the expression was rejected. The tool never raises, so a bad expression is an answer the agent can read back rather than a tool-call failure.

Operators+ - * / // % **, parentheses, unary +/-. ^ is accepted as a power operator, and × · ÷ are accepted as their ASCII equivalents (speech-to-text produces them).

Constantspi, e, tau.

Functionsabs round min max sqrt exp log log2 log10 sin cos tan asin acos atan atan2 degrees radians hypot floor ceil factorial gcd lcm.

Results — integer arithmetic returns an exact integer of any size. Floats are rendered at 12 significant digits, which removes IEEE-754 representation noise (0.1 + 0.2 reads 0.3, not 0.30000000000000004) while keeping far more precision than a calculator result is used at. A whole float keeps its .0, so 8 / 2 reads 4.0 and stays distinct from the exact integer 4.

Development

uv sync
uv run pytest tests/ -v
uv run ruff check .
uv run ruff format .

See AGENTS.md for the project guide and docs/ for the full documentation set.

License

MIT — see LICENSE.

推荐服务器

Baidu Map

Baidu Map

百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。

官方
精选
JavaScript
Playwright MCP Server

Playwright MCP Server

一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。

官方
精选
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。

官方
精选
本地
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。

官方
精选
本地
TypeScript
VeyraX

VeyraX

一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。

官方
精选
本地
graphlit-mcp-server

graphlit-mcp-server

模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。

官方
精选
TypeScript
Kagi MCP Server

Kagi MCP Server

一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。

官方
精选
Python
e2b-mcp-server

e2b-mcp-server

使用 MCP 通过 e2b 运行代码。

官方
精选
Neon MCP Server

Neon MCP Server

用于与 Neon 管理 API 和数据库交互的 MCP 服务器

官方
精选
Exa MCP Server

Exa MCP Server

模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。

官方
精选