Context7
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제작자가 쓴 설명(영어 원문)
Knowledge graph of a PHP codebase by static analysis: calls, routes, buses, layers, impact
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": {
"phpgraph": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"ghcr.io/hbenabdallah/phpgraph:2.0.0"
]
}
}
}터미널에서 이 명령어를 실행하세요
claude mcp add phpgraph -- docker run -i --rm ghcr.io/hbenabdallah/phpgraph:2.0.0프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"phpgraph": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"ghcr.io/hbenabdallah/phpgraph:2.0.0"
]
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
프로젝트의 .vscode/mcp.json에 붙여 넣으세요
{
"servers": {
"phpgraph": {
"type": "stdio",
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"ghcr.io/hbenabdallah/phpgraph:2.0.0"
]
}
}
}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 GitHub 계정 hbenabdallah 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(2.0.0)은 6일 전 레지스트리에 올라왔어요.
Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. 내 컴퓨터에 Docker도 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
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제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.
phpgraph
A knowledge graph of your PHP codebase, for AI coding agents.
Static analysis served over MCP to Sherpa , Claude Code, Codex, Cursor and any MCP client.
No LLM, no network, no embeddings: deterministic facts, each with a confidence level.
English · Français
An AI agent dropped into an unfamiliar PHP project reads files one by one and greps for names. It misses what matters most in a real codebase: who calls what, which handler receives a message, which controller serves a route, what breaks if a method changes, and which layer depends on which.
phpgraph parses the whole project once (with nikic/php-parser, docblocks with phpstan/phpdoc-parser) and answers those questions from a graph:
EXTRACTED (read in the code), INFERRED (resolved from declared types) or AMBIGUOUS (a guess, labelled as such).vendor/, messages without handlers: the gaps are reported, so the agent knows when to read the code itself.$a->b()->c()), local variables, docblocks (@return, @var), and signatures of your vendor/ dependencies, so chains go through Doctrine, Symfony or Laravel APIs.phpgraph check), and impact analysis (impact_of): what depends on a class or method, and which tests to run.vendor/ is reported with its routing file.tagged_iterator, #[AutowireIterator]) or a service named by id, from PHP, YAML or XML configuration, including helpers called with literal arguments (Wiring::wire($services, 'sales', ...), evaluated, never run): a validator is linked to the rules it receives. A rule declaring what it accepts (supports(object $input): bool { return $input instanceof CreateEstimateQuery; }, also canHandle, accepts…) is kept out of the use cases passing another input to the shared pipeline, the classes the input's properties hold included. An input typed by an interface is any project class implementing it and the parameter types it is passed on to (QueryInterface $query given to setUp(CreateEstimateQueryInterface $query): a CreateEstimateQuery); a guard it cannot read, or a rule running for some of these classes only, is kept, marked supports() not resolved.impact lists the operations behind a change (the contract its clients rely on), outline those a feature serves.1. Install. A single executable, no PHP needed (Linux and macOS on x86_64 and ARM, Windows on x86_64):
curl -fsSL https://raw.githubusercontent.com/hbenabdallah/phpgraph/main/install.sh | sh # latest release
curl -fsSL https://raw.githubusercontent.com/hbenabdallah/phpgraph/main/install.sh | sh -s -- 0.2.0 # a given release curl -fsSL https://raw.githubusercontent.com/hbenabdallah/phpgraph/main/install.sh | sh -s -- dev-main # the main branch
irm https://raw.githubusercontent.com/hbenabdallah/phpgraph/main/install.ps1 | iex # Windows
$env:PHPGRAPH_VERSION = "dev-main"; irm https://raw.githubusercontent.com/hbenabdallah/phpgraph/main/install.ps1 | iex
The script downloads the binary, checks its SHA-256 and puts it in ~/.local/bin (Windows: %LOCALAPPDATA%\Programs\phpgraph, added to the PATH); PHPGRAPH_INSTALL_DIR changes the directory. Run it again to update. dev-main is rebuilt on every push to main (the edge pre-release). The binary is a static PHP runtime with phpgraph inside, built with static-php-cli.
With PHP 8.5+ installed, or with Docker:
composer require --dev hbenabdallah/phpgraph # or: composer global require hbenabdallah/phpgraph
curl -LO https://github.com/hbenabdallah/phpgraph/releases/latest/download/phpgraph.phar docker pull ghcr.io/hbenabdallah/phpgraph # nothing else to install
2. Connect your agent. mcp-config prints a ready-to-paste configuration with the paths filled in (vendor/bin/phpgraph when installed with Composer):
phpgraph mcp-config sherpa # Sherpa: a `sherpa mcp add` command, one declaration for every project
phpgraph mcp-config claude # Claude Code: a claude mcp add command, or .mcp.json phpgraph mcp-config codex # Codex: ~/.codex/config.toml phpgraph mcp-config cursor # Cursor: .cursor/mcp.json, shareable with the team phpgraph mcp-config json # any other MCP client over stdio
Agents reach for grep first, even with phpgraph connected. mcp-config also prints a line for the instructions file of the project (CLAUDE.md, AGENTS.md) telling the agent to call phpgraph before grep or reading files; the MCP instructions of the server say it too.
With Sherpa, a terminal coding agent, one declaration serves every project: Sherpa starts its MCP servers from the project it runs in.
sherpa mcp add phpgraph -- ~/.local/bin/phpgraph serve
In a Sherpa session, /mcp add does the same, and the tools are there at once. Both write ~/.config/sherpa/mcp.json.
With Claude Code (absolute paths, as mcp-config prints them):
claude mcp add phpgraph -- /home/you/.local/bin/phpgraph serve /path/to/project
3. Ask your agent something like *"Give me an overview of this project"*, *"How does an order get placed?"* or *"What breaks if I change OrderRepository::save?"*. The graph is built on the first call, then kept up to date.
| Tool | Use it to |
|---|---|
overview | Start here: Composer stack, namespace tree with layers, bounded contexts, layer-rule violations, messages, HTTP routes (each with method, path, controller and file up to 30, else grouped by path prefix), services, and what the graph cannot see. |
query_graph | Find the code about a topic when you do not know the class names, by the words of their names (validated finds Validator), with the classes of the feature around the ones it names. A question about routes (*"mooc courses routes"*, *"GET /courses"*) returns the matching routes and their controllers. The families of classes around the answer are counted by folder (*ContextRuleInterface: 34 in …*), injected lists once (*ContextValidator receives 34 ContextRuleInterface*). |
outline | Before explaining a feature: its structural outline, enough to read only the few files with non-obvious logic. The classes it is made of, by namespace and layer, with the first sentence of their docblock, their public signatures, constants and enum cases; the interfaces and base classes around it with their implementations by module (0 stated); the routes running into it, chain by chain, through the closures it runs; behaviour read in the bodies (guarded throws, early returns, branches on constants, loop caps, state compared before and after); the container wiring with service ids; its users, tests counted by module, what no test touches and what nothing uses. About 15 KB; a list cut short names the section that has it all (section behaviour, 1 to 9 KB), and a core full at 45 classes names those it left out. A class used by many (the User model) brings nothing in with it: it shows the methods the feature calls and its attributes naming the feature's classes ($log: Log). A method (OrderService::place) gives what it runs instead: the methods it calls, 3 calls deep, each class with those methods only; hubs (called by 20 classes or more, a singleton's getInstance()) counted, not followed; its behaviour nearest first. |
get_node | Read one class, method, route or channel with all its relations; tests using it are counted by module. |
get_neighbors | See what uses a node (in) or what it depends on (out). |
impact_of | Before a change: every class that depends on a class or method, nearest first, with the lines of the calls; callers through the interface it implements; code depending on the state it writes; the routes reaching it, with each chain; and the tests to run, found through test helpers. It flags the classes no test touches and those nothing in the application uses. |
shortest_path | See how two pieces of code are connected. |
god_nodes | Find the hubs most of the code depends on. |
The server tells the agent to call overview first. A path, as an agent sees it, on php-ddd-example:
Shortest path (4 hops):
PUT /courses/{id} --handled_by--> CoursesPutController::__invoke() --dispatches--> CreateCourseCommand --handled_by--> CreateCourseCommandHandler::invoke() --calls--> CourseCreator::invoke()
phpgraph build [path] 앞부분만 보여 드려요. 나머지는 저장소에서 읽어 보세요