Context7
Up-to-date docs for AI agents
제작자가 쓴 설명(영어 원문)
Team-aware memory: intent, decisions, real-time conflicts for AI coding assistants.
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": {
"kawacode": {
"command": "npx",
"args": [
"-y",
"@kawacode/mcp"
]
}
}
}터미널에서 이 명령어를 실행하세요
claude mcp add kawacode -- npx -y @kawacode/mcp프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"kawacode": {
"command": "npx",
"args": [
"-y",
"@kawacode/mcp"
]
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
프로젝트의 .vscode/mcp.json에 붙여 넣으세요
{
"servers": {
"kawacode": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@kawacode/mcp"
]
}
}
}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 6일 점검
레지스트리 이름이 도메인 kawacode.ai 기준으로 확인되었어요(레지스트리가 도메인 소유를 확인해요)
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(10.1.1)은 3일 전 레지스트리에 올라왔어요.
Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. 내 컴퓨터에 Node.js도 있어야 해요.
같은 카테고리에는: Context7, Codebase Memory, Exa
같은 카테고리에서 다른 제작자가 만든 서버예요. 스타 순으로 정렬했어요.
카드 보는 법:★ GitHub 스타i세 기둥: 리뷰 · 점검 · 사용 정도i업데이트 = 최신 버전을 레지스트리에 공개한 날i
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제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.
Team-aware memory for AI coding assistants. Track intent, record decisions, and see when a teammate is editing the same code — in real time, before commit.
@kawacode/mcp is the official Model Context Protocol (MCP) server for Kawa Code. It lets Claude Code, Cursor, and any MCP-compatible AI assistant:
gh, tiers 2 and 4 are skipped automaticallyAdd the MCP in your AI configuration, for example on Claude Code:
claude mcp add -s user kawa-intents -- npx -y @kawacode/mcp
For Cursor AI, install the MCP with npm install -g @kawacode/mcp and add it to ~/.cursor/mcp.json.
{
"mcpServers": { "kawa-intents": { "command": "kawacode-mcp" } } }
Note that the MCP will not be automatically updated to future versions in this scenario. To upgrade to a newer release, run npm update -g @kawacode/mcp.
For the project you want Kawa Code to run on, create a .mcp.json file in your project root (recommended for teams — commit it to git):
{
"mcpServers": { "kawa-intents": { "type": "stdio", "command": "npx", "args": ["-y", "@kawacode/mcp"] } } }
The MCP server works together with the Kawa Code application, Kawa Code IDE extensions, and AI code generators such as Cursor AI and Claude Code.
Retired 2026-08-14. Do not wire this up. Kawa Code no longer installs it, and the setup wizard no longer asks for it.
This hook fired before every Edit/Write and surfaced prior reasoning attached to the file being changed. It was retired because its retrieval could not reach the decisions that mattered: it read only the most recently updated 100 decisions per repository, and architectural constraints — precisely what it existed to surface — are written once and then age out of a recency window permanently. On one of our own repositories, 160 decisions were of the surfaced types and only 17 were still inside that window.
If you already installed it, nothing breaks. The kawacode-on-pre-edit binary still ships, and an existing entry in your settings.json keeps working. Kawa Code will not remove it for you — delete it yourself if you want it off:
"PreToolUse": [ { "matcher": "Edit|Write", "hooks": [ … ] } ]
Nothing is lost on team coordination. The live collision signal moved to the Stop hook some time ago, and that is now the only edit-level coordination surface. It reports teammates whose *in-progress, uncommitted* edits overlap the lines you touched this turn — conflict detection before a merge conflict can exist. See Team conflict detection.
git log shows what changed; Kawa shows why.Kawa Code is built for more than one worker on a repository at a time — that's what the conflict detection is *for*. If those workers are AI agents you're running yourself, give each one its own git worktree. Agents sharing a single checkout overwrite each other's edits with no conflict marker and no git history: nothing is committed between the two writes, so nothing notices.
In Claude Code, background sessions already require a worktree — worktree.bgIsolation defaults to "worktree", which blocks edits to the main checkout until the session enters one. You only need to touch it if a project has explicitly opted out with "none". Subagents take isolation: "worktree" per spawn.
Two settings are worth tuning, because the defaults surprise people:
{
"worktree": { "baseRef": "head", "symlinkDirectories": ["node_modules", "target"] } }
"fresh", which branches from origin/ . If you work on unpushed commits, set "head" to branch from your local HEAD instead. Either way this is a *commit* boundary: uncommitted working-tree changes don't travel into a new worktree, so land your work before spawning agents that need it.node_modules is the same content for every worktree, and sharing it costs nothing. Do not symlink compiled-language build output — target/, build/, obj/. Those tools name artifacts deterministically from the crate/module and its inputs, *without* encoding which checkout they came from, so two worktrees building into one directory write the same filenames and silently overwrite each other. The symptom is the dangerous part: your suite goes green while running another checkout's binaries. Only a test that resolves a path baked in at compile time (Rust's env!("CARGO_MANIFEST_DIR"), include_str!, or an equivalent) will notice; everything else passes. If a suite ever looks suspiciously green after another checkout built in the same place, clean the build directory and re-run before believing it.Because compiled build directories can't be shared, they multiply — one per worktree, each growing independently, and they get large enough to matter (a mature Rust target/ reaches hundreds of gigabytes). Two things keep that affordable, and they solve different halves:
sccache is safe across worktrees precisely because it caches *results* keyed by input hash rather than sharing an output directory.cargo-sweep removes stale artifacts by age or to a size cap; wire it into whatever cadence fits your setup — after merging a worktree back is a natural trigger. One caveat worth knowing before you rely on it: sweeping only reclaims artifacts the build tool still tracks. If that index has been lost, the leftovers are orphaned and a sweep reports nothing to do no matter the flags — a full clean is the only thing that reclaims them.Isolation alone would just give you several agents doing overlapping work in private. Kawa's job is the coordination on top.
Each agent session gets its own identity, and intents are tracked per session — so several intents can be active on one repository at once, each with its own current focus, without a lock and without agents clobbering each other's context. From there the normal machinery applies across agents exactly as it does across teammates: get_relevant_context surfaces what the *other* agents have already decided, create_and_activate_intent hands the user a decision in Kawa Code when new work overlaps something already in flight, and the Stop hook reports, once per turn, where another agent's live edits intersect yours.
The practical result: your agents inherit each other's decisions instead of re-deriving them, and you find out about overlapping work while it's still cheap to redirect — not at merge time.
Kawa can do more than *report* an overlap — arbiter_resolve judges each one, and arbiter_apply will write the safe tier of merge for you. That write is deliberately gated:
arbiter_applywrites only in an agent-owned worktree. On a human checkout — or when a peer holds the file-set lock — it stays suggest-only.
This is the sharpest practical reason to put agents in worktrees. Run them on a shared checkout and auto-resolution silently never engages; you get the conflict surfaced and nothing else, with no error to tell you a capability was switched off. The guardrail is intentional — Kawa won't rewrite a human's working tree underneath them — but it does mean the setup decides whether half the feature is available.
When an agent asks to start work that overlaps an intent already in flight, the agent doesn't get to decide. Kawa Code parks the request and asks you, in the Orchestration panel: create_and_activate_intent returns pending_approval with a pendingId, and the agent re-checks that id as it goes.
A parked overlap is not a stop. Nothing in Kawa Code halts an agent mid-task, and nothing is meant to — a refusal that froze the session would strand it for as long as you were away, and by the time you read the card the edits are usually already on disk. So the agent tells you the card is waiting and carries on with whatever doesn't depend on the intent existing. Cancelling behaves the same way: it withholds the intent and *asks* the agent to stop, so the card reports how many turns that session has taken since you cancelled rather than pretending the work was undone.
Check the panel's scope first — this is the usual cause, not expiry. Orchestration reads across repositories by default, but scoped to the current project it lists only cards for the repository you have focused, and the agent that parked the request is often working in a different one. Widen the scope, or focus that repository.
A parked request has a 24-hour window, but the window bounds how long the agent waits, not how long you have:
| when | the agent | your card |
|---|---|---|
| within 24h | re-checks the pendingId as it works | in the panel, marked needs your decision |
| after 24h | told the request lapsed, and to ask again | still in the panel, marked Lapsed — and still answerable |
**Expiry marks a request stale; it does not
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