Context7
Up-to-date docs for AI agents
제작자가 쓴 설명(영어 원문)
Offline MCP server for local Qt 4.8, Qt 5, and Qt 6 documentation with full-text search.
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.
QT_DOC_BASE, QT_DOC_STATE_DIR, SERVER_HOST, SERVER_PORT필요한 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": {
"qt4-doc": {
"command": "uvx",
"args": [
"qt4-doc-mcp-server"
],
"env": {
"QT_DOC_BASE": "your-value",
"QT_DOC_STATE_DIR": "your-value",
"SERVER_HOST": "your-value",
"SERVER_PORT": "your-value"
}
}
}
}터미널에서 이 명령어를 실행하세요
claude mcp add qt4-doc --env QT_DOC_BASE=your-value --env QT_DOC_STATE_DIR=your-value --env SERVER_HOST=your-value --env SERVER_PORT=your-value -- uvx qt4-doc-mcp-server실행하기 전에 빈 값을 채워 주세요.
프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"qt4-doc": {
"command": "uvx",
"args": [
"qt4-doc-mcp-server"
],
"env": {
"QT_DOC_BASE": "your-value",
"QT_DOC_STATE_DIR": "your-value",
"SERVER_HOST": "your-value",
"SERVER_PORT": "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": {
"qt4-doc": {
"type": "stdio",
"command": "uvx",
"args": [
"qt4-doc-mcp-server"
],
"env": {
"QT_DOC_BASE": "your-value",
"QT_DOC_STATE_DIR": "your-value",
"SERVER_HOST": "your-value",
"SERVER_PORT": "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.
QT_DOC_STATE_DIR envSERVER_HOST envSERVER_PORT 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 8일 점검
레지스트리 이름이 GitHub 계정 jztan 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.
입력해야 할 값: QT_DOC_BASE
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(0.7.0)은 4개월 전 레지스트리에 올라왔어요.
Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. 내 컴퓨터에 Python (uv)도 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
Up-to-date docs for AI agents
Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.
Connect AI agents to Exa for web search, content fetching, and multi-step research.
제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.
mcp-name: io.github.jztan/qt4-doc-mcp-server
Bring locally installed Qt 4.8, Qt 5, or Qt 6 documentation to your AI coding assistant. Works offline with one selected documentation set at a time.
QT_DOC_BASE directly at an existing Qt 5/6 offline documentation root.pip install qt4-doc-mcp-server
git clone https://github.com/jztan/qt4-doc-mcp-server.git
cd qt4-doc-mcp-server uv sync --locked
# Automated setup (recommended, requires the cloned repo)
python scripts/prepare_qt48_docs.py --segments 4
The helper script ships with the repo, not the PyPI package. Installed from PyPI only? Download the docs manually instead:
curl -LO https://download.qt.io/archive/qt/4.8/4.8.4/qt-everywhere-opensource-src-4.8.4.tar.gz
tar -xzf qt-everywhere-opensource-src-4.8.4.tar.gz qt-everywhere-opensource-src-4.8.4/doc/html mv qt-everywhere-opensource-src-4.8.4/doc/html ./qt4-docs-html
Then create a .env with QT_DOC_BASE pointing at that directory (see Configuration below).
# 1. Install
pip install qt4-doc-mcp-server
python scripts/prepare_qt48_docs.py --segments 4
qt-doc-build-index
qt-doc-mcp
curl -s http://127.0.0.1:8000/health
The legacy qt4-doc-mcp-server command remains available as an alias for existing client configurations.
After building the index, agents can search and receive materialized absolute Markdown paths:
qt-doc-cli "accessible applications" --limit 5
The command reads the same .env settings as the server. Before searching, it automatically builds a missing/outdated FTS index and fully warms an incomplete Markdown cache. It then prints each result's title, absolute .md path, and FTS snippet to stdout; preparation messages, errors, and warnings go to stderr. Use qt-doc-warm-md --force after changing documentation in place.
Prebuilt multi-arch images (amd64/arm64) are published to GitHub Container Registry on every release. The container is offline-only: you mount your prepared Qt doc/html directory read-only at /docs, and all derived state (Markdown cache and search index) lives in a volume at /data.
# Prepare Qt docs on the host first (one-time, writes to ./qt4-docs-html)
python scripts/prepare_qt48_docs.py --segments 4
docker run -d --name qt4-doc-mcp-server -p 8000:8000 \ -v "$PWD/qt4-docs-html:/docs:ro" \ -v qt4-doc-data:/data \ ghcr.io/jztan/qt4-doc-mcp-server:latest
curl -s http://127.0.0.1:8000/health
Using only the published image, without cloning this repo? Download the Qt 4.8.4 docs directly instead of running the prepare script:
curl -LO https://download.qt.io/archive/qt/4.8/4.8.4/qt-everywhere-opensource-src-4.8.4.tar.gz
tar -xzf qt-everywhere-opensource-src-4.8.4.tar.gz qt-everywhere-opensource-src-4.8.4/doc/html mv qt-everywhere-opensource-src-4.8.4/doc/html ./qt4-docs-html
Any existing Qt 5 or Qt 6 doc/html tree (from the Qt installer or distro documentation packages) works as the mount source too.
First start converts and indexes the documentation into the /data volume; subsequent starts reuse it. Depending on the docset size, the first start can take a minute or two before the health endpoint responds.
With docs in the default ./qt4-docs-html location, no configuration is needed:
docker compose up -d
For docs elsewhere (including Qt 5 or Qt 6 doc/html trees, which the server also supports), point QT_DOC_HTML_PATH at them. If port 8000 is taken on the host, set HOST_PORT in the same file (with plain docker run, change the left side of -p instead):
cp .env.docker.example .env.docker # set QT_DOC_HTML_PATH
docker compose --env-file .env.docker up -d
Or use the convenience script, which checks Docker is running, creates .env.docker on first run, builds and starts the service, and waits for the health endpoint:
./deploy.sh
Point your MCP client at http://127.0.0.1:8000/mcp (streamable HTTP). Qt documentation is licensed under GFDL 1.3; the container serves your local copy and never redistributes it.
These settings apply to native (pip or source) runs. In Docker they are already set inside the container (QT_DOC_BASE=/docs, QT_DOC_STATE_DIR=/data, SERVER_HOST=0.0.0.0); the QT_DOC_HTML_PATH variable in .env.docker is not a server setting, just the host path mounted at /docs.
Create a .env file in the repo root. The helper script writes sensible defaults; adjust as needed:
| Variable | Default | Purpose |
|---|---|---|
QT_DOC_BASE | _required_ | Absolute path to one Qt 4.8, Qt 5, or Qt 6 HTML documentation root. The server detects the active docset. |
QT_DOC_STATE_DIR | $QT_DOC_BASE/.index | Optional writable directory for the FTS index and Markdown cache. Use this when the documentation root is read-only. |
PREINDEX_DOCS | true | Build search index automatically at startup if not present. |
PRECONVERT_MD | false | Warm the Markdown cache automatically at MCP startup. |
SERVER_HOST | 127.0.0.1 | Bind address for the FastMCP server (0.0.0.0 for containers). |
SERVER_PORT | 8000 | TCP port for streamable HTTP transport. |
MCP_LOG_LEVEL | WARNING | Logging verbosity (DEBUG/INFO/WARNING/ERROR). |
MD_CACHE_SIZE | 512 | In-memory CachedDoc LRU capacity (counts pages). |
DEFAULT_MAX_MARKDOWN_LENGTH | 20000 | Default maximum characters returned per request (prevents token limit issues). |
The tools identify documents by their exact root-relative Markdown path, not an online URL. For example, use qcompleter.md for a Qt 4 page, qtdoc/accessible.md for a Qt 5/6 global page, or qtcore/qobject.md for a Qt 5/6 Core page. By default, each docset stores its own index and Markdown cache under $QT_DOC_BASE/.index/, so switching QT_DOC_BASE reuses its existing derived state. Set QT_DOC_STATE_DIR to relocate both to a writable directory. The Markdown cache mirrors the documentation tree: for example, qtcore/qobject.md is cached as .index/md/qtcore/qobject.md plus qobject.meta.json with the default state directory.
By default, the server exposes an HTTP endpoint at http://127.0.0.1:8000/mcp. Register it with your preferred MCP-compatible agent using the instructions below.
Run the server over stdio instead of HTTP with:
qt-doc-mcp --transport stdio
For stdio-only MCP clients, configure that command with args: ["--transport", "stdio"]. Startup indexing and Markdown-cache progress are written to stderr, leaving stdout exclusively for MCP protocol messages.
Visual Studio Code (Native MCP Support)
VS Code has built-in MCP support via GitHub Copilot (requires VS Code 1.102+).
Using CLI (Quickest):
code --add-mcp '{"name":"qt-docs","type":"http","url":"http://127.0.0.1:8000/mcp"}'
Using Command Palette:
Cmd/Ctrl+Shift+P)MCP: Open User Configuration (for global) or MCP: Open Workspace Folder Configuration (for project-specific) {
"servers": { "qt-docs": { "type": "http", "url": "http://127.0.0.1:8000/mcp" } } }
4. Save the file. VS Code will automatically load the MCP server.
Manual Configuration: Create .vscode/mcp.json in your workspace (or mcp.json in your user profile directory):
{
"servers": { "qt-docs": { "type": "http", "url": "http://127.0.0.1:8000/mcp" } } }
Claude Code
Add to Claude Code using the CLI command:
claude mcp add --transport http qt-docs http://127.0.0.1:8000/mcp
Or configure manually in your Claude Code settings file (~/.claude.json):
{
"mcpServers": { "qt-docs": { "type": "http", "url": "http://127.0.0.1:8000/mcp" } } }
Codex CLI
Add to Codex CLI using the command:
codex mcp add qt-docs -- npx -y mcp-client-http http://127.0.0.1:8000/mcp
Or configure manually in ~/.codex/config.toml:
[mcp_servers.qt-docs]
command = "npx" args = ["-y", "mcp-client-http", "http://127.0.0.1:8000/mcp"]
Note: Codex CLI primarily supports stdio-based MCP servers. The above uses mcp-client-http as a bridge for HTTP transport.
Kiro
Kiro primarily supports stdio-based MCP servers. For HTTP servers, use an HTTP-to-stdio bridge:
.kiro/settings/mcp.json in your workspace: {
"mcpServers": { "qt-docs": { "command": "npx", "args": [ "-y", "mcp-client-http", "http://127.0.0.1:8000/mcp" ], "disabled": false } } }
2. Save the file and restart Kiro. The active Qt documentation tools will appear in the MCP panel.
Note: Direct HTTP transport support in Kiro is limited. The above configuration uses mcp-client-http as a bridge to connect to HTTP MCP servers.
Generic MCP Clients
Most MCP clients use a standard configuration format. For HTTP servers:
{
"mcpServers": { "qt-docs": { "type": "http", "url": "http://127.0.0.1:8000/mcp" } } }
For clients that require a command-based approach with HTTP bridge:
{
"mcpServers": { "qt-docs": { "command": "npx", "args": ["-y", "mcp-client-http", "http://127.0.0.1:8000/mcp"] } } }
The server provides 2 MCP tools for working with the active local Qt documentation set:
앞부분만 보여 드려요. 나머지는 저장소에서 읽어 보세요