原型 · 预览版:收录官方注册中心里的全部服务器,每 30 分钟同步一次。评价和账户功能将在后续阶段推出。
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Ajisai

作者:masamoto1982版本 0.9.0i★ –i在你的电脑上运行
注册名称io.github.masamoto1982/ajisai

安装

概览

作者提供的说明(英文原文)

Exact rational and algebraic computation, with machine-readable Word contracts, in Ajisai.

PopNx MCP 的三大支柱

这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。

它能帮你做什么

我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。

  • 连接方式: 在你的电脑上运行
  • 传输方式: stdio
  • 分类: 文档、表格与办公

安装

选择你使用的 AI 应用,然后复制设置。

安装之前

  • 基础检查:1 项中通过 1 项
  • 在你的电脑上运行,拥有你的用户账户的权限(文件、网络、应用)。
  • 注册中心没有列出需要填写的密钥。

你需要

  • npm已安装 Node.js(用于 npx 命令)

你用的是哪个应用?

在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。

打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json

{
  "mcpServers": {
    "ajisai": {
      "command": "npx",
      "args": [
        "-y",
        "ajisai-mcp-server"
      ]
    }
  }
}

在终端中运行这条命令

claude mcp add ajisai -- npx -y ajisai-mcp-server

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json

{
  "mcpServers": {
    "ajisai": {
      "command": "npx",
      "args": [
        "-y",
        "ajisai-mcp-server"
      ]
    }
  }
}

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

{
  "servers": {
    "ajisai": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "ajisai-mcp-server"
      ]
    }
  }
}

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

这个服务器在你的电脑上运行,而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。

你的选择通过 Cookie 保存在这台设备上,无需账户。

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。

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8日

  • ✓ 通过

    作者与仓库一致

    注册名称已通过 GitHub 账户 masamoto1982 验证,该账户拥有此仓库

  • … 尚未检查

    仍在维护

    我们还没有从 GitHub 读取这个仓库

  • … 尚未检查

    有许可证

    我们还没有从 GitHub 读取这个仓库

  • – 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

与“文档、表格与办公”中的其他服务器比较i

  • 星标数多于此分类中其他 3575 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 3575 个服务器的 55% 更新
  • 基础检查结果等于或优于此分类中其他 3575 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

Ajisai 安全吗?

它在 1 项适用的基础检查中通过了 1 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–,最新版本(0.9.0)于26天前进入注册中心。

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 Node.js。

有什么可以替代它?

同一分类中有:Agent-Native Calendar, Excel MCP Server, MCP Server for Excel

替代选择

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

Agent-Native Calendar

Agent-Native Google Calendar - manage events, sync, and public booking

作者:BuilderIO正在增长★ 76202个月前更新

在云端运行

Excel MCP Server

Create and edit Excel files with AI: charts, PivotTables, formulas. No Excel needed.

作者:haris-musa广泛使用↓ 5万/周★ 42767天前更新

在你的电脑上运行

MCP Server for Excel

Excel automation for AI - Sheets, Power Query, DAX, VBA, Tables, Ranges and more. Windows only.

作者:sbroenne正在增长↓ 4321/周★ 8475天前更新

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。

Ajisai MCP server

Ajisai's MCP surface makes the language useful as a bounded, deterministic and diagnostic computation kernel for AI agents. The server remains a thin adapter: the Rust CLI owns language semantics and generated artifacts own vocabulary.

Ajisai promises exactness in its supported numeric domain, rather than unqualified “no rounding errors”. Operations such as explicit rounding and functions outside that domain retain their documented semantics.

This README is the server's own record of what it does and how it is verified; the readiness tracker and the hand-off memo that once accompanied it in docs/dev/ were retired when their exit criteria were met. Host-by-host resource ceilings are compared in docs/dev/mcp-host-profiles.md.

Install and connect

Requirements: Node 20 or newer. Nothing else — no build step, no cargo, no native binary: the package carries its WASM backend.

The server is published on npm as ajisai-mcp-server and listed in the official MCP Registry as io.github.masamoto1982/ajisai. Most MCP clients take a JSON server entry. Claude Desktop (claude_desktop_config.json), Claude Code (.mcp.json) and Cursor (.cursor/mcp.json) all use this shape:

{

"mcpServers": { "ajisai": { "command": "npx", "args": ["-y", "ajisai-mcp-server"] } } }

npx -y ajisai-mcp-server --doctor exits 0 when the installed copy can actually compute.

From a checkout

A clone runs the same server without npm, which is how the repository's own tests and an unreleased engine are reached. The WASM backend is committed under wasm/generated/, so a fresh clone computes immediately.

git clone https://github.com/masamoto1982/Ajisai.git

cd Ajisai/tools/mcp-server npm install node index.js --doctor # exits 0 when this copy can actually compute

The server entry then names the checkout's index.js:

{

"mcpServers": { "ajisai": { "command": "node", "args": ["/path/to/Ajisai/tools/mcp-server/index.js"] } } }

That is the whole configuration. No env block is needed, and pointing AJISAI_BIN at a native binary — as an earlier version of this file did in its only working example — is an optional override, not a prerequisite:

  • AJISAI_BIN selects a native ajisai binary instead of the packaged WASM backend, which is how a Docker image that builds one in should be wired.
  • AJISAI_REPO is a development-only fallback for discovering a locally built binary without naming it.

Without either, a native binary is discovered only when this package is run from an Ajisai checkout (tools/mcp-server beside rust/Cargo.toml), and then the more recently built of rust/target/release and rust/target/debug is used. An installed copy under node_modules never looks outside itself: it runs the packaged WASM backend.

The published package holds only what the server runs — the adapter, its two backends, the packaged assets and WASM module, README.md, CHANGELOG.md and LICENSE. The evaluation harness, its corpora and the tests stay in the repository (npm run test:pack fails if one ships).

Both backends answer identically (see Backends and provenance); the override is about deployment, not about results.

Checking an installation

The server is silent when it is healthy, which makes it indistinguishable from one that is wedged. The same executable answers for itself:

node index.js --version    # adapter, engine and specification versions, registry digest

node index.js --doctor # Node, assets, backend and two real computations node index.js --help

--doctor exits 0 when every check passes and 1 when any fails, so it can gate a container start or a support request. It computes 2 3 DIV 1 3 DIV ADD and 2 SQRT through the selected backend: a server that starts and loads its assets but answers wrongly is still broken, and only running something proves otherwise. With no arguments the process speaks MCP on stdin/stdout and writes nothing else there.

Agent surface

toolpurpose
computeexecute source with time, source, output and step limits
checkparse, resolve and conservatively verify #:contract declarations without execution
infer_contractsinfer contracts for user-defined Words without execution
word_contractquery the complete canonical spec/words.json contract registry

Execution tools accept source text only. Deliberately omitting file-path input prevents an AI tool call from becoming an arbitrary local-file reader.

check answers about the *form* of a program, never about running it: it tokenizes, parses, resolves names and verifies #:contract declarations (#:contract DOUBLE inputs=1 outputs=1 field=closed, one line per Word, in the keys CONTRACT answers in — inputs, outputs and field, and no other: any other term makes the directive malformed), all without execution. compute runs the same declaration check before executing anything, and a declaration the body contradicts, or a malformed one, stops the run: both tools answer it as an ordinary error — error.category: contractViolation and a message quoting the finding — with every finding in contractDecls.findings ({ severity, message }) and a verdict per Word in contractDecls.declarations, and compute names it outcome: error:contractViolation. A source without a directive carries no contractDecls. So a check that returns status: ok says the program is well-formed and its names resolve — it does not say the program will succeed, stay inside a ceiling, or produce a value rather than a NIL. Nothing that only a run can decide is decided here. Read it as "this will get as far as executing", and read compute for what executing it does.

The three source tools answer one program consistently, and tool-consistency.test.js (part of npm run selftest) holds them to it over every golden and corpus source:

  • An error's outcome and its error.category name one category.
  • Source that does not parse is malformedSource to all three — infer_contracts included.
  • check ok means the run does not fail on the program's form or its names.
  • Every suggested line infer_contracts answers, pasted back above the source, verifies under check.
  • check is stricter than a run: it rejects a name nothing defines even inside a Word that is never called, which a run never reaches.
Three outcomes, kept distinct
Ajisai outcomestatusoutcome (compute)isError
a valueokvalue—
NIL(reason)ok, with the absence reasonnil: —
language ERRORerror, with message and errorerror: —
a failure of the *host*hostError—yes

outcome uses the ids of spec/outcomes.json, so a reasoned absence is told apart from a value without reading the top stack node.

All four tools answer with the same envelope (result.schema.json, also served as ajisai://schema/result), so one schema describes every result a caller can receive and there is no second contract to keep in step.

What a result costs

Every result arrives twice: as structuredContent, which a caller branches on, and serialized into a text content block, because MCP asks a tool with an output schema to also return the serialized JSON that way — a text-only client has no other route to any of it. That mirror stays. Replacing it with a prose summary is the one compaction that would actually lose information, and the self-test pins that a text-only client can still tell a value, a reason-carrying NIL, a language error and a host failure apart from the text alone.

What was removed is everything constant. 1 2 ADD answered 3,732 bytes, of which the answer — stack and stackDisplay — was 85: the rest was the twelve-entry limit table on every result (mcp.limits), and an execution receipt and observation digest no host verified. Five calls in one turn cost 5,000 tokens of that. Now:

  • mcp.limitProfile names the profile (mcp-local-stdio); the ceilings are the ajisai://limits resource, read once. A ceiling that fires still names itself in error.resource and its value in message, and a host failure about one in error.limit, so no result needs the table to be acted on.
  • resourceUsage — what the run spent against each ceiling — is sent; the engine reports no optimizer counters at all.
  • The engine sends no receipt and no observation digest (envelope schema 5).
  • An optional field carrying no value is absent, not null — message and error on a plain success, contractDecls on a source that declares nothing. Test for presence, not for `null`.

1 2 ADD is about 1 KB as sent, and what remains constant is its provenance. npm run eval:performance measures the whole response and the text block alone over the seven benchmark cases and fails against a committed medianResponseBytesBudget, so none of it can come back unnoticed. The budget is a ceiling to lower when a response genuinely shrinks, never one to raise so a regression passes.

A host failure is machine-readable: error.code is a stable identifier (invalidRequest, unknownTool, sourceTooLarge, backendUnavailable, capacityExhausted, timeout, responseTooLarge, malformedBackendResponse, backendFailure, registryUnavailable), error.retryable says whether trying again can help, and error.limit names the declared ceiling when the failure is about one. error.message is written for a model and carries no host paths, environment-variable names or spawn diagnostics; that detail goes to the server's stderr, where an operator is looking.

Saturating concurrentExecutions queues the caller for up to a second before answering capacityExhausted, so an ordinary burst becomes back-pressure rather than a retry loop the caller has to write.

Reading an algebraic value

2 SQRT answers with the value, a rendering of it, and an approximation. On the stack node, read:

fieldwhat it is
stackDisplaythe value written as one token: "sqrt(2)", "2/1*sqrt(2)", "sqrt(2)-sqrt(3)", exact and never truncated
semantics.exactTermsthe value itself: Σ (numerator/denominator)·√radicand, arbitrary-precision integers as strings

The display renders exactly the terms beside it. Compute with exactTerms; the display is meant to be read rather than parsed.

The one that misleads is the node's own value: a rational approximation flagged semantics.approximate, so it looks exact and is not.

The display writes the canonical normal form, so equal values are written the same way: 8 SQRT and 2 SQRT 2 SQRT ADD both give 2/1*sqrt(2), and EQ decides they are the same number. Comparison decides equality here; string comparison does not — the string is display text, not a value. exactTerms does not appear on a rational or a vector of rationals, whose stackDisplay is already the whole value.

Errors

A language error is message — one line of text — and one object, error: { category, resource?, word?, line?, column? }. category is the spec/outcomes.json error category, the same id as in outcome, and is what to branch on; word is the Word the failure is attributed to, line and column where it was written, and resource, for resourceLimitExceeded, the entry of ajisai://limits that fired. An unknown Word is category: unknownWord with the name as written in word; word_contract answers that name with the closest known Words in suggestions.

responseBytes bounds the response as sent: the structured result, its serialized text mirror and provenance together. A *successful* result is kept under it by the engine rather than refused: under the agent profile a stack is sent whole up to 440 KiB (a 5,000-element vector of small integers), and past that

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