Agent-Native Calendar
Agent-Native Google Calendar - manage events, sync, and public booking
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Exact rational and algebraic computation, with machine-readable Word contracts, in Ajisai.
이 세 가지는 절대 하나의 점수로 합치지 않아요. 의견, 측정, 인기는 서로 다른 것이니까요.
이 서버는 아직 쉬운 말로 된 요약을 쓰지 못했어요. 아래는 레지스트리에서 읽어 온 사실이에요.
쓰고 있는 AI 앱을 고른 다음 설정을 복사하세요.
필요한 것
어떤 앱을 쓰세요?
위에서 앱을 고르세요. 기억해 두었다가 다음부터는 버튼에 “…에 설치”라고 표시해요.
Claude Desktop → Settings → Developer → Edit Config를 열고 claude_desktop_config.json에 이 내용을 붙여 넣으세요
{
"mcpServers": {
"ajisai": {
"command": "npx",
"args": [
"-y",
"ajisai-mcp-server"
]
}
}
}터미널에서 이 명령어를 실행하세요
claude mcp add ajisai -- npx -y ajisai-mcp-server프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"ajisai": {
"command": "npx",
"args": [
"-y",
"ajisai-mcp-server"
]
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
프로젝트의 .vscode/mcp.json에 붙여 넣으세요
{
"servers": {
"ajisai": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"ajisai-mcp-server"
]
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
이 서버는 내 컴퓨터에서 실행되는데, ChatGPT는 인터넷에 있는 서버에만 연결할 수 있어요. 다른 앱을 고르세요.
선택한 앱은 이 기기의 쿠키에만 저장돼요. 계정은 필요 없어요.
이 설정은 제작자의 레지스트리 정보로 만들었어요. README와 다르면 README를 따르세요.
내 컴퓨터에서 실행돼요. 설치하면 AI 앱에 도구 목록이 나타나요.
누구나 볼 수 있는 정보를 점검했고, 코드는 읽지 않았어요. 해당하지 않는 항목은 개수에서 뺐어요. · 2026년 11월 7일 점검
레지스트리 이름이 GitHub 계정 masamoto1982 기준으로 확인되었고, 이 계정이 저장소를 소유하고 있어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
내 컴퓨터에서 실행되는 서버라 인터넷 엔드포인트가 없어요
내 컴퓨터에서 실행되며, 대신 로컬 설정을 사용해요
내 컴퓨터에서 실행돼요. 도구 목록은 인터넷 엔드포인트가 있는 서버에서만 읽을 수 있어요
레지스트리에서 이 카테고리의 활성 서버 전체와 비교했어요. 스타는 게시자가 저장소를 소유한 경우에만 세요.
해당하는 기본 점검 1개 중 1개를 통과했어요. 코드는 읽지 않았어요. 키나 토큰을 넣기 전에 서버가 어떤 권한을 요구하는지 확인하고, 꼭 필요한 권한만 있는 키를 쓰세요.
레지스트리에 필수 키가 나와 있지 않아요. 다만 처음 쓸 때 로그인을 요구하는 서버도 있어요.
내 컴퓨터에서 실행돼요. AI 앱이 필요할 때 실행하고, 데이터는 제작자의 서버를 거치지 않아요(서버 자체가 온라인 서비스를 호출하는 경우는 제외).
GitHub 저장소는 마지막으로 – 변경됐고, 최신 버전(0.9.0)은 25일 전 레지스트리에 올라왔어요.
Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. 내 컴퓨터에 Node.js도 있어야 해요.
같은 카테고리에는: Agent-Native Calendar, Excel MCP Server, MCP Server for Excel
같은 카테고리에서 다른 제작자가 만든 서버예요. 스타 순으로 정렬했어요.
카드 보는 법:★ GitHub 스타i세 기둥: 리뷰 · 점검 · 사용 정도i업데이트 = 최신 버전을 레지스트리에 공개한 날i
Agent-Native Google Calendar - manage events, sync, and public booking
Create and edit Excel files with AI: charts, PivotTables, formulas. No Excel needed.
Excel automation for AI - Sheets, Power Query, DAX, VBA, Tables, Ranges and more. Windows only.
제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.
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.
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.
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.
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.
| tool | purpose |
|---|---|
compute | execute source with time, source, output and step limits |
check | parse, resolve and conservatively verify #:contract declarations without execution |
infer_contracts | infer contracts for user-defined Words without execution |
word_contract | query 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:
outcome and its error.category name one category.malformedSource to all three — infer_contracts included.check ok means the run does not fail on the program's form or its names.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.| Ajisai outcome | status | outcome (compute) | isError |
|---|---|---|---|
| a value | ok | value | — |
NIL(reason) | ok, with the absence reason | nil: | — |
language ERROR | error, with message and error | error: | — |
| 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.
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.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.
2 SQRT answers with the value, a rendering of it, and an approximation. On the stack node, read:
| field | what it is |
|---|---|
stackDisplay | the value written as one token: "sqrt(2)", "2/1*sqrt(2)", "sqrt(2)-sqrt(3)", exact and never truncated |
semantics.exactTerms | the 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.
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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