Context7
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제작자가 쓴 설명(영어 원문)
Semantic search over local folders of code and docs, with a code-search encoder running on your CPU.
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.
BLACKWINDOW_WEAVE_CACHE필요한 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": {
"blackwindow-weave": {
"command": "npx",
"args": [
"-y",
"blackwindow-weave-mcp"
],
"env": {
"BLACKWINDOW_WEAVE_CACHE": "your-value"
}
}
}
}터미널에서 이 명령어를 실행하세요
claude mcp add blackwindow-weave --env BLACKWINDOW_WEAVE_CACHE=your-value -- npx -y blackwindow-weave-mcp실행하기 전에 빈 값을 채워 주세요.
프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"blackwindow-weave": {
"command": "npx",
"args": [
"-y",
"blackwindow-weave-mcp"
],
"env": {
"BLACKWINDOW_WEAVE_CACHE": "your-value"
}
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
프로젝트의 .vscode/mcp.json에 붙여 넣으세요
{
"servers": {
"blackwindow-weave": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"blackwindow-weave-mcp"
],
"env": {
"BLACKWINDOW_WEAVE_CACHE": "your-value"
}
}
}
}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.
BLACKWINDOW_WEAVE_CACHE env이 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 space-bacon 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(0.1.2)은 38일 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.
Semantic search over the folders on your machine, for any MCP client. The server cuts source code and documentation into passages, embeds them with Motherlode, a 33M-parameter code-search encoder, on your CPU, and answers questions such as "where is a pairing line parsed into url, key and name" with file paths, line ranges and the passages themselves.
The only network requests are to huggingface.co on the first run: six requests, which leave five files, 133,752,819 bytes, in the cache. With the files cached, a run makes none.
This is the weave from Black Window and the Sunstone VS Code extension, packaged for clients that speak the Model Context Protocol. It runs on macOS, Linux and Windows with Node 20 or later.
Install it once from a terminal, before adding it to a client. This installs the package and ONNX Runtime and prints the version once the runtime has loaded:
npx -y blackwindow-weave-mcp@0.1.2 --version
On GitHub's hosted runners, from an empty npm cache, this first install took 7 to 13 s on Linux and macOS and 55 to 69 s on Windows. Clients wait a limited time for a server to start (the MCP SDK's default is 60 s), and a client that stops waiting in the middle of an install can leave a broken copy in npm's cache (see Troubleshooting). Once installed, the server starts in under 3 s.
Keep the version in the client's configuration the same as here. With a version given, npx starts the copy it installed; with the bare name, npx (npm 11) looks for a newer version on every start and installs it while the client waits.
On Linux x64, ONNX Runtime also downloads 236 MB of CUDA libraries during the install. This server runs on the CPU and never loads them, so you can skip them:
ONNXRUNTIME_NODE_INSTALL=skip npx -y blackwindow-weave-mcp@0.1.2 --version
Claude Code:
claude mcp add weave -- npx -y blackwindow-weave-mcp@0.1.2 --folder /path/to/your/repo
VS Code, in .vscode/mcp.json:
{
"servers": { "weave": { "type": "stdio", "command": "npx", "args": ["-y", "blackwindow-weave-mcp@0.1.2", "--folder", "${workspaceFolder}"] } } }
Cursor, Claude Desktop, Windsurf and most other clients:
{
"mcpServers": { "weave": { "command": "npx", "args": ["-y", "blackwindow-weave-mcp@0.1.2", "--folder", "/path/to/your/repo"] } } }
On Windows npx is a batch file, which a client can only start through cmd /c. Claude Code:
claude mcp add weave -- cmd /c npx -y blackwindow-weave-mcp@0.1.2 --folder C:\path\to\your\repo
Cursor, Claude Desktop, Windsurf and most other clients:
{
"mcpServers": { "weave": { "command": "cmd", "args": ["/c", "npx", "-y", "blackwindow-weave-mcp@0.1.2", "--folder", "C:/path/to/your/repo"] } } }
In VS Code the same command and args go under servers in .vscode/mcp.json, with "type": "stdio".
npm install -g blackwindow-weave-mcp@0.1.2 installs a blackwindow-weave-mcp command, which a client can start directly (cmd /c blackwindow-weave-mcp on Windows). To run from this repository instead of npm, replace blackwindow-weave-mcp@0.1.2 in the arguments with github:space-bacon/blackwindow-weave-mcp.
| option | meaning |
|---|---|
--folder | Weave this folder when the server starts. Repeatable. Optional: the model can call weave_folder itself. |
--cache | Where the encoder and the indexes live. Default ~/.cache/blackwindow-weave (on Windows %USERPROFILE%\.cache\blackwindow-weave), or BLACKWINDOW_WEAVE_CACHE. |
--version | Print the version and exit. |
Every push runs CI on Linux (x64 and arm64), Windows (x64) and macOS (Apple silicon), each with Node 20, 22 and 24. Each job runs the stdio smoke test below from a checkout. It then installs the packed package through npx from an empty npm cache, starts it the way a client does and weaves a folder. On Windows it also starts it through cmd /c. Last, it installs the package globally and starts it by its command. Other platforms, such as Windows on Arm, Intel Macs and Alpine Linux, are not tested.
The client times out when it first starts the server, or the server stops with `Cannot find module ... transformers.node.mjs`. A first install was interrupted, usually by a client that stopped waiting, and npm kept the half-installed copy. Delete npm's npx cache and install again from a terminal with the line under Install:
rm -rf ~/.npm/_npxRemove-Item -Recurse -Force "$env:LOCALAPPDATA\npm-cache\_npx"Updating. Install the new version from a terminal as above, then change the version in the client's configuration.
| tool | what it does |
|---|---|
weave_folder | Index a folder, or bring its index up to date. Only files whose size or modification time changed are read again. A run longer than 25 s returns at once and continues in the background. |
weave_search | The passages nearest a plain-language or code query, with file, line range and score. Searches the folders woven in this session, or every woven folder if none was, or one folder when asked. |
weave_list | The woven folders with their file and passage counts, and any weave still running. |
weave_forget | Delete a folder's index. The folder's files are not touched. |
On an Apple M2 Ultra (24 CPU cores, Node 24.4.1), through the MCP SDK's own stdio client, in test/smoke.mjs:
| folder | files | passages | first weave | second weave | search |
|---|---|---|---|---|---|
this package's src/ | 6 | 42 | 3.8 s, with the encoder's download | 0.013 s | 5 to 6 ms |
| the Sunstone repository | 57 | 1,367 | 20.2 s | 0.014 s | 6 ms |
Embedding runs at about 68 passages a second on that machine, so a repository of 10,000 passages takes about two and a half minutes the first time. Those figures are one run each on one machine. The smoke test's three questions about this package's own source each return the expected file first; they are a check that the pieces are wired together, not a measure of retrieval quality. For retrieval quality see the model card.
.gitignore holds. Any other folder is walked, skipping node_modules, build output, virtual environments, lock files and minified files. Files over 1 MB and files that read as binary are skipped. JSON and XML are left out: in the Sunstone repository, result files under bench/results/ took ranks 2 and 3 of the question above when they were included.onnx/model.onnx (fp32) through transformers.js and ONNX Runtime on the CPU, CLS pooling.centring/mean_shipped.json) subtracted and is brought back to unit length, so a score is a cosine after centring. /index/: a Float32 matrix and a JSONL of passages, named by a manifest that is written to a temporary file and renamed into place, so an interrupted write leaves the previous index. An index that cannot be read is moved aside rather than overwritten.Business Source License 1.1 with an internal-use grant. You may use it for any internal purpose, including commercial development on your own or your employer's code, with no limit on seats. You may not offer it to others as a hosted search service or ship it inside a product you supply. On 15 September 2030 it becomes Apache-2.0. The encoder is downloaded under its own licence, which has the same shape. For other terms, write to burton@sunstonenorth.com.