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codecalc

作者:The-40-Thieves版本 0.13.0i★ 5i在你的电脑上运行
注册名称io.github.The-40-Thieves/codecalc

安装方法

What it does

Code & logic calculator for AI agents: 31 languages, symbolic math, SMT/logic solving, Big-O.

  • Connects 在你的电脑上运行
  • Account or key No key needed
  • Category 开发者工具

安装

选择你使用的 AI 应用,然后复制设置。

通过 3/3 项检查 · 在你的电脑上运行

第一步:你用哪个 AI?

选择你用的应用,步骤会显示在下方。

可连接 Claude,但需要先准备

需要先在电脑上安装 Python (uv)(只需一次) · 仅限电脑上的 Claude 应用(Windows 或 Mac),网页和手机不可用

  1. 安装 Python (uv)

    只需一次,所有需要 Python (uv) 的服务器都能用

    打开 Python (uv) 下载页 ↗

  2. 打开电脑版 Claude 应用的设置文件

    SettingsDeveloperEdit Config

  3. 粘贴这些设置并保存文件

    {
      "mcpServers": {
        "codecalc": {
          "command": "uvx",
          "args": [
            "codecalc"
          ]
        }
      }
    }
  4. 退出 Claude 再重新打开

  5. 试一试

    用 codecalc 告诉我你能帮我做什么,然后做一件给我看

    ✓ 如果 Claude 说正在使用 codecalc,或回答中出现 codecalc 的工具名称,就表示连接成功

菜单名称已于 2026年11月11日 对照 Anthropic 帮助页面核实 · 你的界面可能因版本略有不同

ChatGPT 暂时无法连接 codecalc

codecalc 需要安装在你的电脑上,而 ChatGPT 只能连接在网上运行的服务器

你可以改用这些方式

A · 使用能连接 codecalc 的应用

  • 需要先在电脑上安装 Python (uv)(只需一次) · 仅限电脑上的 Claude 应用(Windows 或 Mac),网页和手机不可用
  • 需要先在电脑上安装 Python (uv)(只需一次)
  • 需要先在电脑上安装 Python (uv)(只需一次)
  • 需要先在电脑上安装 Python (uv)(只需一次)

B · 开发者工具 类中能连接 ChatGPT 的其他服务器

从同类中使用较多的里挑选,仅限用地址即可连接、无需密钥的

可连接 Claude Code,但需要先准备

需要先在电脑上安装 Python (uv)(只需一次)

  1. 安装 Python (uv)

    只需一次,所有需要 Python (uv) 的服务器都能用

    打开 Python (uv) 下载页 ↗

  2. 打开终端

    Mac:按 Command+空格,输入 Terminal · Windows:打开 PowerShell

  3. 粘贴这条命令并按 Enter

    claude mcp add --scope user codecalc -- uvx codecalc
  4. 在 Claude Code 中输入 /mcp

    应能看到 codecalc 在列表中并显示已连接

  5. 试一试

    用 codecalc 告诉我你能帮我做什么,然后做一件给我看

    ✓ 如果 Claude Code 说正在使用 codecalc,或回答中出现 codecalc 的工具名称,就表示连接成功

菜单名称已于 2026年11月11日 对照 Anthropic 帮助页面核实 · 你的界面可能因版本略有不同

可连接 Cursor,但需要先准备

需要先在电脑上安装 Python (uv)(只需一次)

  1. 安装 Python (uv)

    只需一次,所有需要 Python (uv) 的服务器都能用

    打开 Python (uv) 下载页 ↗

  2. 点击这个按钮打开 Cursor

    在 Cursor 中打开

    Cursor 会请你确认安装,点击 Install

  3. 在 Cursor 中以 Agent 模式打开 AI 聊天

  4. 试一试

    用 codecalc 告诉我你能帮我做什么,然后做一件给我看

    ✓ 如果 Cursor 说正在使用 codecalc,或回答中出现 codecalc 的工具名称,就表示连接成功

菜单名称已于 2026年11月11日 对照 Cursor 帮助页面核实 · 你的界面可能因版本略有不同

可连接 VS Code,但需要先准备

需要先在电脑上安装 Python (uv)(只需一次)

  1. 安装 Python (uv)

    只需一次,所有需要 Python (uv) 的服务器都能用

    打开 Python (uv) 下载页 ↗

  2. 点击这个按钮打开 VS Code

    在 VS Code 中打开

    VS Code 会请你确认安装,点击 Install

  3. 在 VS Code 中以 Agent 模式打开 AI 聊天

  4. 试一试

    用 codecalc 告诉我你能帮我做什么,然后做一件给我看

    ✓ 如果 VS Code 说正在使用 codecalc,或回答中出现 codecalc 的工具名称,就表示连接成功

菜单名称已于 2026年11月11日 对照 VS Code 帮助页面核实 · 你的界面可能因版本略有不同

其他支持 MCP 的应用(如 Windsurf、Zed、Gemini CLI)添加方式各不相同,请在应用列表中查看

查看所有支持 MCP 的应用 →

JSON 设置在下方“开发者专用”中

卡住了?问问正在用 codecalc 的人💬 讨论 →
开发者专用:终端命令和 JSON 设置

安装在电脑上

Claude Code

claude mcp add --scope user codecalc -- uvx codecalc

Claude Desktop (claude_desktop_config.json)

{
  "mcpServers": {
    "codecalc": {
      "command": "uvx",
      "args": [
        "codecalc"
      ]
    }
  }
}

Cursor (~/.cursor/mcp.json)

{
  "mcpServers": {
    "codecalc": {
      "command": "uvx",
      "args": [
        "codecalc"
      ]
    }
  }
}

VS Code (mcp.json)

{
  "servers": {
    "codecalc": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "codecalc"
      ]
    }
  }
}

这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。

一览

每周下载量i
40/周
许可证i
Apache-2.0
连接方式
在你的电脑上运行
最新版本i
0.13.0
发布到注册中心i
2026年9月22日
代码最后更新i
2026年11月5日
作者
The-40-Thieves
软件包
pypi: codecalc
注册状态
活跃

哪些应用可以使用它

依据这个服务器的连接方式和各应用自己的文档,检查于 2026年11月10日。

在你的电脑上运行,适用于

ClaudeGooseLM StudioMsty StudioCherry StudioCursorVS Code + GitHub CopilotVisual StudioWindsurf (Devin Desktop)ZedKiroClineContinueJetBrains AI AssistantClaude CodeCodex CLIGemini CLIOpenCodenodecodeWarpLibreChatRaycast

全部应用及其优缺点 →

它能做什么

它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。

基础检查i

我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月12日

  • ✓ 通过

    作者与仓库一致

    注册名称已通过 GitHub 账户 The-40-Thieves 验证,该账户拥有此仓库

  • ✓ 通过

    仍在维护

    代码最后更新于7天前

  • ✓ 通过

    有许可证

    使用 Apache-2.0

  • – 不适用

    端点有响应

    它在你的电脑上运行,没有互联网端点

  • – 不适用

    使用 OAuth 登录

    在你的电脑上运行,改用本地设置

  • … 尚未检查

    工具描述中没有隐藏指令

    它在你的电脑上运行;我们只能读取互联网端点的工具列表

讨论

提问、分享技巧或报告无法使用。按“有帮助”数量排序。

还没有帖子,欢迎第一个提问或分享。

此处内容由用户撰写,不代表 PopNx 团队。

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与“开发者工具”中的其他服务器比较i

  • 星标数多于此分类中其他 5813 个服务器的 85%
  • 发布到注册中心的时间比此分类中其他 5813 个服务器的 41% 更新
  • 基础检查结果等于或优于此分类中其他 5813 个服务器的 100%

与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。

常见问题

codecalc 安全吗?

它在 3 项适用的基础检查中通过了 3 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。

它需要哪些密钥或代码?

注册中心没有列出必需的密钥,不过有些服务器会在首次使用时要求你登录。

它在我的电脑上运行还是在云端?

它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。

它还在维护吗?

GitHub 仓库最后更新于7天前,最新版本(0.13.0)于2个月前进入注册中心。

哪些应用可以使用它?

支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 Python (uv)。

有什么可以替代它?

同一分类中有:REA, GitHub, Serena MCP: the IDE for your agent

同类别的其他选择

同一分类中其他作者的服务器,按星标数排序。

如何看卡片:↓ 每周下载量i★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i

REA

Reverse engineer anything from your terminal or agent with one CLI and MCP server.

作者:morluto广泛使用↓ 38.9万/周★ 45.3万今天更新

在你的电脑上运行

GitHub

Connect AI assistants to GitHub - manage repos, issues, PRs, and workflows through natural language.

作者:github广泛使用★ 3.4万9天前更新

电脑或云端

Serena MCP: the IDE for your agent

A powerful toolkit for coding, providing semantic retrieval and editing capabilities.

作者:oraios广泛使用↓ 3.5万/周★ 3.1万6个月前更新

在你的电脑上运行

作者的 README

打开 README

按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。

codecalc — universal code & logic calculator for AI models

**codecalc is an offline, self-hosted MCP server that gives an AI agent a calculator, a code runner, and a logic checker — so it gets a *correct* answer instead of a guessed one. It runs code in 31 languages, does exact symbolic math, solves SMT/logic problems, and measures complexity, all exposed as 51 MCP tools**.

Fastest path: uvx 'codecalc[full]' setup --write registers codecalc with your MCP client automatically. New to MCP, or want more detail first? See QUICKSTART.md, or the Install section below.

Three things nobody else offers together cleanly:

  • Offline-core — ships no model, no API key, no gateway, no telemetry. The core opens no sockets; network access is opt-in and only where a specific tool's job needs it (the Piston provider, install_package, the runtime-update tools, executed code unless no_net, and a one-time in-process grammar download on first analyze_complexity — full breakdown in the network-boundary table below).
  • Safe execution of untrusted code — an opt-in *strict* isolation boundary (gVisor+Docker on Linux, AppContainer on Windows) layered above the default rlimit sandbox, fail-closed and attested.
  • Verification tools — verify_translation proves a port to another language behaves identically, verify_optimization proves an optimization preserved behavior, and z3_check proves or refutes logic with an SMT solver.

When to use codecalc

Use it when you want a free, local, private, hardened code-runner and verifier that an MCP agent can call directly — no vendor account, no cloud spend, nothing leaving the machine except where a tool's job explicitly requires it.

Reach for something else when you want managed cloud scale instead of self-hosting (a hosted sandbox like E2B or Modal), or when you're not self-hosting at all and the model vendor's built-in code interpreter already covers what you need.

codecalc vs. the alternatives

codecalc is not a general cloud sandbox and not a vendor code interpreter. It overlaps with several things and beats them in only one narrow place — forcing a model to *measure* a claim instead of asserting it. Where that isn't what you need, one of these is the better tool, and this table says so plainly.

You want…Better fitWhy
To just run some Python/JS quickly, zero setupYour model vendor's built-in interpreterAlready there, already sandboxed, nothing to install. Anthropic's code-execution tool has internet access "completely disabled" and cannot install packages at runtime; OpenAI's hosted containers have no outbound network access by default, with an org-level network_policy allowlist as an opt-in. Both return output artifacts by reference (Anthropic a file_id via the Files API, OpenAI a container_file_citation) rather than inline (Anthropic code-execution tool docs, https://platform.claude.com/docs/en/agents-and-tools/tool-use/code-execution-tool; OpenAI shell/container tool guide, https://developers.openai.com/api/docs/guides/tools-shell; both retrieved 2026-09-07)
Heavy or multi-tenant workloads, managed scaleA cloud sandbox (E2B, Modal, Daytona)Per-tenant Firecracker/gVisor isolation codecalc does not claim by default
Pure arithmetic or symbolic math, nothing elseA small calculator or SymPy MCPLower token cost; none of the 31-language runtime machinery
A model to stop _guessing_ numbers, equivalence, and speedups — locally, privately, with graded evidencecodecalcExact rationals, verify_translation/verify_optimization, and unenforced/grade honesty — offline, no account

Do not reach for codecalc if you need multi-tenant or network-exposed isolation (its threat model is explicitly single-operator, local, stdio), if zero-setup convenience matters more than measurement, or if a hosted interpreter already covers your case. It earns its keep only when the *correctness of the claim* — not just "it ran" — is the point.

Install

Quickstart with codecalc setup

The fastest path to a working MCP connection, without reading the rest of this section:

uvx 'codecalc[full]' setup            # prints what it would do — nothing on disk changes

uvx 'codecalc[full]' setup --write # applies it: merges your client's config, copies the skill

It detects which MCP client is installed (Claude Desktop, Claude Code, Cursor, VS Code, Zed — pass --client=NAME if none or several are found), reuses codecalc doctor's own backend/extras/grammar-cache checks, prints the exact config block in that client's own JSON shape with absolute paths already filled in, runs two real canaries (execute_code, evaluate_expression) to prove the connection would work, and ends in one verdict: ready / degraded / not-ready. --write is the only mode that changes anything — it MERGES the codecalc entry into your existing client config (every other server stays exactly as it was) and backs up the original to .codecalc-bak first. codecalc --help lists every subcommand.

[!NOTE]

Published as `codecalc` 0.13.0 on PyPI (pip install codecalc) and the

`codecalc-exec` 0.13.0 executor on crates.io

(#91). Every release

artifact carries a keyless sigstore build-provenance attestation — verify

one with gh attestation verify --repo The-40-Thieves/codecalc; PyPI

wheels additionally carry PEP 740 attestations.

Where to find codecalc
WhereWhat you getLink
PyPIpip install codecalc / uvx codecalcpypi.org/project/codecalc
crates.iothe codecalc-exec Rust executor cratecrates.io/crates/codecalc-exec
GitHub Releaseswheels for every platform, the executor binaries, the .mcpb bundle, an SBOM, and SHA256SUMSgithub.com/The-40-Thieves/codecalc/releases
MCP registry (official)the io.github.The-40-Thieves/codecalc server entry server.json publishes toregistry.modelcontextprotocol.io
Smitheryhosted listing and one-click client configsmithery.ai/servers/@The-40-Thieves/codecalc
Glamahosted listing and the score badge aboveglama.ai/mcp/servers/The-40-Thieves/codecalc
MCPB (Claude Desktop)the drag-and-drop bundle, attached to every GitHub Releasesee GitHub Releases, above
Docker MCP Catalogthe mcp/codecalc image Docker builds from this repo's docker/mcp-server.Dockerfile, for Docker Desktop's MCP Toolkit (docker mcp server enable codecalc)submitted as docker/mcp-registry#5025; listed at hub.docker.com/mcp/server/codecalc once merged

Not yet listed: PulseMCP and mcp.so do not carry a codecalc entry yet; the Docker MCP Catalog entry is pending review. PulseMCP's own submission page (checked 2026-09-08) says it is not accepting new submissions and that publishing to the official MCP registry — already done, row above — is what it indexes from once submissions reopen, so there is nothing to submit there today. mcp.so takes a submission through its own form. See docs/distribution.md for the exact steps, kept there rather than here because submitting is an action for whoever runs it, not a fact about the current release.

The published install (simplest — no build step, and what most people want):

uvx 'codecalc[full]'          # run it directly, no environment to manage

or

pip install 'codecalc[full]' # into your own virtualenv

From source, if you would rather build the executor yourself:

git clone https://github.com/The-40-Thieves/codecalc

cd codecalc uv sync --all-extras # or: pip install -e '.[full]' cargo build --release --manifest-path executor/Cargo.toml mkdir -p bin # bin/ is gitignored, so a fresh clone has none cp executor/target/release/codecalc-exec bin/ uv run codecalc doctor # verify: backend should read rust

Without the cargo build, everything still runs on the pure-Python fallback — doctor will say so, and the network table below says what that costs.

Why `[full]`. The base install is the MCP surface and the sandbox executor: 31 language runtimes, sessions, packages, ~32 MB. The symbolic half — sympy and z3 — is 88.6 MB measured, and a caller who only runs code should not download an SMT solver to do it. So it is an extra:

installsizewhat you get
codecalc~32 MBexecute_code, sessions, packages, complexity-free tools
codecalc[symbolic]+83 MBevaluate_expression, solve, limits, truth tables, z3, units
codecalc[parsing]+5 MB installed, +89 MB fetched on first useanalyze_complexity via tree-sitter
codecalc[full]~120 MBeverything

Nothing fails silently: a tool whose extra is missing returns {"ok": false, "error": "sympy is not installed. It ships in the 'symbolic' extra: pip install 'codecalc[symbolic]' ..."}, and codecalc doctor lists which extras are present before you make a call.

Editions

Four names for the capability sets above, plus the two that live outside pyproject.toml entirely — a Docker image and an opt-in isolation boundary. The invariant that makes "edition" a meaningful word here: in the edition that lists a tool, that tool is functional — never listed-but-missing-its-extra. A tool an edition doesn't have returns the dependency_missing contract error naming the extra that provides it (see above), not a silent failure or a tool that appears to exist and doesn't work.

EditionInstallWhat you get
Fulluvx 'codecalc[full]' / pip install 'codecalc[full]'The recommended local product: the native (Rust) executor, symbolic tools (evaluate_expression, symbolic, z3_check, …), and parsing (analyze_complexity). Everything this README documents actually runs.
Coreuvx codecalc / pip install codecalcExecution + non-symbolic tools only — the base install in the table above. Every symbolic/parsing tool is still *listed* by tools/list (MCP doesn't support per-install schemas), but calling one returns dependency_missing naming the extra, before any other work happens.
Dockerdocker build -f docker/mcp-server.Dockerfile .The MCP server itself, packaged to run as an ordinary container. Core-shaped by default: ships python3/node/ruby/php/perl/gawk/lua/c/cpp/jq/sqlite3 and the default rlimit sandbox — symbolic/parsing are absent by design (no [full] in the base image; see the Dockerfile's own comment for why, including an arm64 z3-solver wheel gap). --build-arg CODECALC_EXTRA=full adds them. This image cannot nest the Strict Host boundary below inside itself (no privileged docker-in-docker), and codecalc doctor inside it says so rather than claiming a boundary it doesn't have.

| Strict Host | opt-in; CODECALC_STRICT_URL (client) or the gVisor+Docker host itself (server) — see docs/deployment/README.md | Not an install, a *boundary*: the gVisor runsc sandbox on Linux, or AppContainer hardening on Windows, layered above whichever install above is already running. Fails closed — no digest pinned, no fallback to unenforced

只显示了开头部分;其余内容请在仓库中阅读