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Graphkeeper

de RudrenduPaulversión 0.1.5i★ –iSe ejecuta en tu computadora
Nombre en el registroio.github.RudrenduPaul/graphkeeper

Instalar

Resumen

Descripción del creador (original en inglés)

Mines git history for file co-change patterns into a queryable knowledge graph via MCP.

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

  • PyPIuv de Python instalado (para el comando uvx)

¿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": {
    "graphkeeper": {
      "command": "uvx",
      "args": [
        "graphkeeper-cli",
        "graphkeeper-mcp"
      ]
    }
  }
}

Ejecuta esto en tu terminal

claude mcp add graphkeeper -- uvx graphkeeper-cli graphkeeper-mcp

Abrir en Cursor

O copia la configuración tú

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

{
  "mcpServers": {
    "graphkeeper": {
      "command": "uvx",
      "args": [
        "graphkeeper-cli",
        "graphkeeper-mcp"
      ]
    }
  }
}

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": {
    "graphkeeper": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "graphkeeper-cli",
        "graphkeeper-mcp"
      ]
    }
  }
}

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 7 nov 2026

  • ✓ Superada

    El creador coincide con el repo

    El nombre en el registro se verificó con la cuenta de GitHub RudrenduPaul, 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 7249 servidores de esta categoría
  • Publicado en el registro más recientemente que el 29% de los otros 7249 servidores de esta categoría
  • Revisiones básicas iguales o mejores que el 100% de los otros 7249 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 Graphkeeper?

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 (0.1.5) llegó al registro hace 3 meses.

¿Qué apps pueden usarlo?

Las apps compatibles con MCP, como Claude Desktop, Claude Code, Cursor y VS Code. También necesitas Python (uv) 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 hoy
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 el mes pasado
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.

GraphKeeper

Install • Quickstart • CLI Reference • Comparison • FAQ

A local-only CLI that mines your git log for which files actually change together, then hands an AI coding agent a queryable answer instead of a grep across the whole history.

npx graphkeeper-cli build

npx graphkeeper-cli query co-change src/git.ts

Files that historically change alongside "src/git.ts":

1 src/store.ts 1 src/types.ts 1 test/git.test.ts 1 test/store.test.ts 1 test/test-helpers.ts

(Real output from running GraphKeeper against its own repo, this early in its history. Co-change counts grow as a codebase accumulates more commits.)

No server, no account, no embeddings API. Every byte of output comes from git log on the repo you already have checked out.

Install

GraphKeeper ships two independent, equally first-class packages. Pick whichever fits your toolchain, or install both. Both mine the same git log co-change signal and share one on-disk .graphkeeper/graph.json schema, so a store built by either can be read back by the other.

# npm -- JavaScript/TypeScript CLI + library

npm install -g graphkeeper-cli

or run it once with no install

npx graphkeeper-cli build

PyPI -- Python CLI + library (genuine port, not a wrapper around the Node binary)

pip install graphkeeper-cli

The npm package requires Node.js 18 or later; the Python package requires Python 3.9 or later. Both require git on your PATH. The Python package's CLI entry point is also graphkeeper (e.g. graphkeeper build). See python/README.md for the Python-specific walkthrough, and CHANGELOG.md for each distribution's version history.

Quickstart

Run it against any git repo, including this one:

git clone https://github.com/RudrenduPaul/GraphKeeper.git

cd GraphKeeper graphkeeper build

GraphKeeper build complete: /path/to/GraphKeeper

Co-change graph: 4 commit(s) analyzed, 80 file pair(s) found graphify enrichment: skipped -- graphify was not found on PATH. Install it with uv tool install graphifyy (or pipx install graphifyy) for symbol/call-graph enrichment; GraphKeeper works fine without it, in co-change-only mode.

Wrote /path/to/GraphKeeper/.graphkeeper/graph.json

Now query it:

graphkeeper query co-change src/git.ts
Files that historically change alongside "src/git.ts":

1 src/store.ts 1 src/types.ts 1 test/git.test.ts 1 test/store.test.ts 1 test/test-helpers.ts

If graphify is installed (uv tool install graphifyy), graphkeeper build automatically shells out to its local, no-API-key graphify extract --code-only and merges its symbol/call-graph into the same store, unlocking call-graph queries:

graphkeeper query calls mineCoChange
mineCoChange() (src/git.ts)

Calls (2): --> assertIsGitRepo() --> runGit()

Called by (1): <-- build()

(Also real output, from running graphkeeper build against this repo with graphify installed.)

Without graphify installed, that same command explains exactly why the answer isn't available instead of crashing or returning an empty result:

Call-graph query for "mineCoChange" is not available.

graphify was not found on PATH. Install it with uv tool install graphifyy (or pipx install graphifyy) for symbol/call-graph enrichment; GraphKeeper works fine without it, in co-change-only mode.

Every command also supports --json for scripts and agents:

graphkeeper query co-change src/git.ts --json
{

"file": "src/git.ts", "results": [ { "file": "src/store.ts", "count": 1 }, { "file": "src/types.ts", "count": 1 }, { "file": "test/git.test.ts", "count": 1 }, { "file": "test/store.test.ts", "count": 1 }, { "file": "test/test-helpers.ts", "count": 1 } ] }

Features

  • Mines real commit history, not a static snapshot. graphkeeper build runs git log --no-merges --name-only across the full history of the repo and counts every file pair that changed together in the same commit. There's no guessing at coupling from folder structure or import statements alone; the answer comes from how the codebase actually got edited over time.
  • `--max-files-per-commit` protects the signal. A single vendoring commit or mass reformat that touches 400 files would otherwise pollute every pair in that commit. The default cap (100 files) skips commits above that threshold so real coupling doesn't drown in noise.
  • Optional call-graph enrichment, never required. When graphify is on PATH, graphkeeper build shells out to its local graphify extract --code-only --no-cluster and merges the resulting symbol/call edges into the same store, unlocking graphkeeper query calls. Without graphify, GraphKeeper still works in co-change-only mode and says so plainly instead of failing.
  • Every command has a `--json` mode. graphkeeper query co-change --json and the equivalents return machine-readable output, so an agent's calling code parses a real data structure instead of scraping text.
  • Two from-scratch implementations, one schema. The npm package (src/, TypeScript) and the PyPI package (python/src/graphkeeper/, Python) are independent ports, not a wrapper of one around the other. Both read and write the same .graphkeeper/graph.json, so a store built with one CLI is queryable from the other.
  • Every subprocess call uses an argv array, never a shell string. Git and graphify are both invoked through spawnSync/subprocess.run with a list of arguments, so a crafted commit message or filename in the repo being analyzed can't be interpreted as shell syntax.

CLI Reference

Usage: graphkeeper [options] [command]

Options: -V, --version output the version number -h, --help display help for command

Commands: build [options] [path] Mine git history for co-change and (if available) merge in graphify's symbol/call graph query Query the GraphKeeper store built by graphkeeper build help [command] display help for command

graphkeeper build [path]

Walks path (default: current directory), runs git log --no-merges --name-only across the whole history, and counts how often each pair of files was touched in the same commit. Writes the result to .graphkeeper/graph.json.

OptionDescription
--jsonemit machine-readable JSON instead of human-readable text
--max-files-per-commit skip commits touching more than this many files (default: 100), keeping a single mass-reformat or vendoring commit from drowning out real co-change signal
--no-graphifyskip graphify enrichment even if graphify is installed

If graphify is detected on PATH, build also runs graphify extract --code-only --no-cluster (graphify's own headless, local, no-API-key AST extraction path) into a directory inside .graphkeeper/, and merges its nodes/edges into the same store. The build output always states plainly whether that enrichment was included, and why it was skipped if not.

graphkeeper query co-change

Lists files that historically changed alongside , ranked by how many commits touched both.

OptionDescription
--jsonemit machine-readable JSON instead of human-readable text
--limit cap the number of results
--graph path to a specific graph.json (default: /.graphkeeper/graph.json)

Exit code 0 when results are found, 1 when there's no co-change data for that file yet, 2 on a usage or filesystem error.

graphkeeper query calls

Shows callers and callees of , using graphify's calls edges from the most recent build. Only meaningful when that build included graphify enrichment; if it didn't, this prints a clear explanation of why instead of a crash or a silent empty result.

OptionDescription
--jsonemit machine-readable JSON instead of human-readable text
--graph path to a specific graph.json (default: /.graphkeeper/graph.json)

Exit code 0 when the symbol is found, 1 when it isn't (or enrichment wasn't available), 2 on a usage or filesystem error.

MCP Server

GraphKeeper ships a Model Context Protocol server so an AI coding agent (Claude, Cursor, or any MCP-compatible client) can mine co-change history and query the graph directly, without a human invoking the CLI by hand.

Install the extra:

pip install "graphkeeper-cli[mcp]"

Add it to your MCP client's config (for Claude Desktop, claude_desktop_config.json):

{

"mcpServers": { "graphkeeper": { "command": "uvx", "args": ["--from", "graphkeeper-cli", "graphkeeper-mcp"] } } }

The server exposes one tool, run, that shells out to the published graphkeeper-cli npm package (via npx graphkeeper-cli) with the given subcommand and arguments plus --json, and returns the parsed JSON result:

run(["build", "."])

run(["query", "co-change", "src/git.ts"])

Transport is stdio, so there is nothing to host: the MCP client spawns the server as a local subprocess. Source: python/src/graphkeeper/mcp_server.py.

Library API Reference

Both packages expose a real importable surface, listed below. The command line is a thin wrapper over the same functions.

TypeScript / JavaScript (graphkeeper-cli on npm)
import { build, queryCoChange } from "graphkeeper-cli";

const result = build("."); console.log(${result.store.commitsAnalyzed} commit(s) analyzed);

const coChange = queryCoChange(result.store, "src/git.ts"); for (const row of coChange.results) { console.log(row.count, row.file); }

ExportSignature
buildbuild(targetPath: string, options?: BuildOptions): BuildResult
queryCoChangequeryCoChange(store: GraphKeeperStore, file: string, options?: { limit?: number }): CoChangeQueryResult
queryCallsqueryCalls(store: GraphKeeperStore, symbol: string): CallsQueryResult
findGraphifyNode`findGraphifyNode(nodes: GraphifyNode[], symbol: string): GraphifyNode \null`
normalizeFileArgnormalizeFileArg(store: GraphKeeperStore, file: string): string

| detectGraphify | `detectGr

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

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