Context7
Up-to-date docs for AI agents
作者による説明(英語の原文)
Knowledge graph of a PHP codebase by static analysis: calls, routes, buses, layers, impact
この3つを1つのスコアにまとめることはしません。意見、測定、人気はそれぞれ別のものだからです。
このサーバーのやさしい解説はまだ書いていません。以下はレジストリから読み取った事実です。
使っているAIアプリを選んで、設定をコピーしてください。
必要なもの
どのアプリを使っていますか?
上でアプリを選んでください。選んだアプリを覚えておくので、次からはボタンに「…にインストール」と表示されます。
Claude Desktop → Settings → Developer → Edit Config を開き、claude_desktop_config.json にこれを貼り付けます
{
"mcpServers": {
"phpgraph": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"ghcr.io/hbenabdallah/phpgraph:2.0.0"
]
}
}
}ターミナルでこれを実行します
claude mcp add phpgraph -- docker run -i --rm ghcr.io/hbenabdallah/phpgraph:2.0.0プロジェクトの .cursor/mcp.json、または ~/.cursor/mcp.json に貼り付けます
{
"mcpServers": {
"phpgraph": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"ghcr.io/hbenabdallah/phpgraph:2.0.0"
]
}
}
}ブラウザがアプリを開いてよいか確認し、そのあとアプリが設定を表示して確認を求めます。キーの値は空欄のままなので、自分で入力してください。
プロジェクトの .vscode/mcp.json に貼り付けます
{
"servers": {
"phpgraph": {
"type": "stdio",
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"ghcr.io/hbenabdallah/phpgraph:2.0.0"
]
}
}
}ブラウザがアプリを開いてよいか確認し、そのあとアプリが設定を表示して確認を求めます。キーの値は空欄のままなので、自分で入力してください。
これはパソコンで動くサーバーですが、ChatGPTがつなげるのはインターネット上のサーバーだけです。ほかのアプリを選んでください。
選んだアプリは、この端末のCookieに保存されます。アカウントは不要です。
この設定は、作者のレジストリ登録情報から作成しています。READMEと違う場合は、READMEに従ってください。
パソコンで動くサーバーです。インストールすると、ツール一覧がAIアプリに表示されます。
誰でも見られる情報をチェックしており、コードは読んでいません。当てはまらない項目は数に入れていません。 · 2026年11月6日にチェック
レジストリ名は、リポジトリを所有するGitHubアカウント hbenabdallah で確認済みです
このリポジトリはまだGitHubから読み取っていません
このリポジトリはまだGitHubから読み取っていません
これはパソコンで動くため、インターネット上のエンドポイントはありません
パソコンで動き、代わりにローカルの設定を使います
パソコンで動くサーバーです。ツール一覧を読み取れるのは、インターネット上のエンドポイントがある場合だけです
レジストリでこのカテゴリにある有効なすべてのサーバーと比較しています。スターは、公開者がリポジトリの所有者である場合だけ数えます。
当てはまる基本チェック1項目のうち1項目に合格しました。コードは読んでいません。キーやトークンを追加する前に、サーバーがどんなアクセスを求めているかを確認し、必要な権限だけを持つキーを使ってください。
レジストリには必須のキーは載っていません。ただし、最初に使うときにサインインを求めるサーバーもあります。
あなたのパソコンで動きます。必要なときにAIアプリが起動し、データは作者のサーバーを通りません(サーバー自体がオンラインサービスを呼び出す場合を除きます)。
GitHubリポジトリの最終更新は–、最新バージョン(2.0.0)がレジストリに届いたのは6 日前です。
Claude Desktop、Claude Code、Cursor、VS CodeなどのMCP対応アプリで使えます。パソコンにDockerも必要です。
同じカテゴリには:Context7, Codebase Memory, Exa
同じカテゴリで、ほかの作者が作ったサーバー。スターの多い順。
カードの見方:★ GitHubスターi3つの柱:レビュー · チェック · 利用状況i更新=最新バージョンをレジストリに公開した日i
Up-to-date docs for AI agents
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作者のリポジトリから書かれたとおりにコピーしたものです。PopNx MCPは内容を確認・推奨していません。HTML、画像、スクリプトは取り除いています。リンクはこのサイトの外へ移動します。
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] 冒頭だけを表示しています。続きはリポジトリで読めます