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PopNx MCPServidores MCP para quienes usan IA · explicados con palabras sencillas

phpgraph

de hbenabdallahversión 2.0.0i★ –iSe ejecuta en tu computadora
Nombre en el registroio.github.hbenabdallah/phpgraph

Instalar

Resumen

Descripción del creador (original en inglés)

Knowledge graph of a PHP codebase by static analysis: calls, routes, buses, layers, impact

Los tres pilares de PopNx MCP

Estos tres nunca se combinan en una sola puntuación: las opiniones, las mediciones y la popularidad son cosas distintas.

Qué puedes hacer con él

Todavía no escribimos un resumen sencillo para este. Abajo están los datos que leímos del registro.

  • Conexión: Se ejecuta en tu computadora
  • Transporte: stdio
  • Categoría: Búsqueda y memoria de IA

Instalación

Elige la app de IA que usas y copia la configuración.

Antes de instalar

Necesitas

¿Qué app usas?

Elige tu app arriba. La recordamos, así que la próxima vez el botón dirá “Instalar en …”.

Abre Claude Desktop → Settings → Developer → Edit Config y pega esto en claude_desktop_config.json

{
  "mcpServers": {
    "phpgraph": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "ghcr.io/hbenabdallah/phpgraph:2.0.0"
      ]
    }
  }
}

Ejecuta esto en tu terminal

claude mcp add phpgraph -- docker run -i --rm ghcr.io/hbenabdallah/phpgraph:2.0.0

Abrir en Cursor

O copia la configuración tú

Pégalo en .cursor/mcp.json de tu proyecto, o en ~/.cursor/mcp.json

{
  "mcpServers": {
    "phpgraph": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "ghcr.io/hbenabdallah/phpgraph:2.0.0"
      ]
    }
  }
}

Tu navegador te pide permiso para abrir la app; luego la app muestra la configuración y te pide confirmar. Los valores de las claves quedan vacíos para que los completes tú.

Abrir en VS Code

O copia la configuración tú

Pégalo en .vscode/mcp.json de tu proyecto

{
  "servers": {
    "phpgraph": {
      "type": "stdio",
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "ghcr.io/hbenabdallah/phpgraph:2.0.0"
      ]
    }
  }
}

Tu navegador te pide permiso para abrir la app; luego la app muestra la configuración y te pide confirmar. Los valores de las claves quedan vacíos para que los completes tú.

Este se ejecuta en tu computadora, y ChatGPT solo puede conectarse a servidores en internet. Elige otra app.

Tu elección se guarda en una cookie en este dispositivo; no necesitas cuenta.

Esta configuración se genera a partir de la ficha del creador en el registro. Si el README dice otra cosa, sigue el README.

Qué puede hacer

Se ejecuta en tu computadora; la lista de herramientas aparece en tu app de IA después de instalarlo.

Revisiones básicasi

Revisamos información que cualquiera puede ver; no hemos leído el código. Las revisiones que no aplican no se cuentan. · Revisado el 6 nov 2026

  • ✓ Superada

    El creador coincide con el repo

    El nombre en el registro se verificó con la cuenta de GitHub hbenabdallah, dueña del repo

  • … Aún sin revisar

    Sigue en mantenimiento

    Todavía no hemos leído este repo en GitHub

  • … Aún sin revisar

    Tiene licencia

    Todavía no hemos leído este repo en GitHub

  • – No aplica

    El endpoint responde

    Este se ejecuta en tu computadora; no hay endpoint en internet

  • – No aplica

    Inicio de sesión con OAuth

    Se ejecuta en tu computadora y usa ajustes locales en su lugar

  • … Aún sin revisar

    Sin instrucciones ocultas en las descripciones de herramientas

    Se ejecuta en tu computadora; solo podemos leer listas de herramientas de endpoints en internet

Comparado con otros en Búsqueda y memoria de IAi

  • Más estrellas que el 0% de los otros 7233 servidores de esta categoría
  • Publicado en el registro más recientemente que el 84% de los otros 7233 servidores de esta categoría
  • Revisiones básicas iguales o mejores que el 100% de los otros 7233 servidores de esta categoría

Comparado con todos los servidores activos de esta categoría en el registro. Las estrellas solo cuentan cuando quien lo publica es dueño del repo.

Preguntas frecuentes

¿Es seguro phpgraph?

Superó 1 de 1 revisiones básicas aplicables. No hemos leído el código. Antes de agregar una clave o un token, revisa qué acceso pide el servidor y usa una clave que tenga solo los permisos que necesitas.

¿Qué claves o códigos necesita?

El registro no indica ninguna clave obligatoria, aunque algunos servidores te piden iniciar sesión la primera vez que los usas.

¿Se ejecuta en mi computadora o en la nube?

Se ejecuta en tu computadora. Tu app de IA lo inicia cuando hace falta, y los datos no pasan por los servidores del creador (a menos que el propio servidor llame a un servicio en línea).

¿Sigue en mantenimiento?

El repo de GitHub cambió por última vez –, y la última versión (2.0.0) llegó al registro hace 6 días.

¿Qué apps pueden usarlo?

Las apps compatibles con MCP, como Claude Desktop, Claude Code, Cursor y VS Code. También necesitas Docker en tu computadora.

¿Qué puedo usar en su lugar?

En la misma categoría: Context7, Codebase Memory, Exa

Alternativas

Servidores de la misma categoría hechos por otros creadores, ordenados por estrellas.

Cómo leer una tarjeta:★ Estrellas de GitHubiTres pilares: reseñas · revisiones · usoiActualizado = fecha en que se publicó la última versión en el registroi

Context7

de upstash

Up-to-date docs for AI agents

Computadora o nube★ 64.224MITActualizado hace 3 días
Instalar

Codebase Memory

de DeusData

Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.

Se ejecuta en tu computadora★ 48.148MITActualizado hace 20 días
Instalar

Exa

de exa-labs

Connect AI agents to Exa for web search, content fetching, and multi-step research.

Se ejecuta en la nube★ 5213MITActualizado hace 44 días
Instalar

README del creador

Abrir el README

Copiado tal cual del repo del creador. PopNx MCP no lo ha revisado ni lo respalda. Se quitaron HTML, imágenes y scripts. Los enlaces llevan fuera de este sitio.

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


Why phpgraph?

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:

  • Deterministic facts, not guesses. Every relation is EXTRACTED (read in the code), INFERRED (resolved from declared types) or AMBIGUOUS (a guess, labelled as such).
  • It says what it does not know. Unresolved calls, missing vendor/, messages without handlers: the gaps are reported, so the agent knows when to read the code itself.
  • Built for DDD and hexagonal architecture, then microservices, then PHP in general: Symfony, Laravel, Ecotone, PrestaShop, WordPress, or plain PHP.
  • Private by design. Your code never leaves your machine, and phpgraph never executes it: it only parses it.

Features

  • Call graph with type inference: return types, chained calls ($a->b()->c()), local variables, docblocks (@return, @var), and signatures of your vendor/ dependencies, so chains go through Doctrine, Symfony or Laravel APIs.
  • Architecture: DDD and hexagonal layers, bounded contexts, layer rules checked in CI (phpgraph check), and impact analysis (impact_of): what depends on a class or method, and which tests to run.
  • Messages and events: sender → message → handler for Symfony Messenger, Laravel jobs and events, Ecotone, PrestaShop CQRS, WordPress hooks, domain events and your own buses, from attributes, service configuration (YAML, XML, PHP) or code shape.
  • HTTP: routes (Symfony attributes, YAML and PHP routing files, API Platform resources, Laravel route files, controllers named by container service id) linked to controllers, and HTTP calls linked to the routes they reach. A route whose controller class exists neither in the project nor in vendor/ is reported with its routing file.
  • Dependency injection: what the Symfony container configuration injects beyond constructor types, every service of a tag (tagged_iterator, #[AutowireIterator]) or a service named by id, from PHP, YAML or XML configuration, including helpers called with literal arguments (Wiring::wire($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.
  • Microservices: one id space per service, and links between services through their contracts: shared message classes, routing keys, HTTP routes.
  • API schemas: the operations of OpenAPI (Swagger) documents linked to the routes implementing them, or, for a document of another API, to the HTTP calls of its client; the rpcs of protobuf services linked to the classes implementing their generated interface. What is documented and not implemented, and the routes no document describes, are reported. impact lists the operations behind a change (the contract its clients rely on), outline those a feature serves.
  • Zero-configuration MCP server: built on first use, rebuilt incrementally when the code changes (about 3 s per edit on an 8,400-file project).

Quick start

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.

MCP tools

ToolUse it to
overviewStart 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_graphFind 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*).
outlineBefore 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_nodeRead one class, method, route or channel with all its relations; tests using it are counted by module.
get_neighborsSee what uses a node (in) or what it depends on (out).
impact_ofBefore 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_pathSee how two pieces of code are connected.
god_nodesFind 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()

Command line

phpgraph build [path]               

Solo se muestra el principio; lee el resto en el repo

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