GitHub
Connect AI assistants to GitHub - manage repos, issues, PRs, and workflows through natural language.
Descripción del creador (original en inglés)
A powerful MCP server for codebase architecture analysis and automated governance.
Estos tres nunca se combinan en una sola puntuación: las opiniones, las mediciones y la popularidad son cosas distintas.
Todavía no escribimos un resumen sencillo para este. Abajo están los datos que leímos del registro.
Elige la app de IA que usas y copia la configuración.
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": {
"ua": {
"command": "npx",
"args": [
"-y",
"ua-mcp"
]
}
}
}Ejecuta esto en tu terminal
claude mcp add ua -- npx -y ua-mcpPégalo en .cursor/mcp.json de tu proyecto, o en ~/.cursor/mcp.json
{
"mcpServers": {
"ua": {
"command": "npx",
"args": [
"-y",
"ua-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.
Pégalo en .vscode/mcp.json de tu proyecto
{
"servers": {
"ua": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"ua-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.
Se ejecuta en tu computadora; la lista de herramientas aparece en tu app de IA después de instalarlo.
Revisamos información que cualquiera puede ver; no hemos leído el código. Las revisiones que no aplican no se cuentan. · Revisado el 8 nov 2026
El nombre en el registro se verificó con la cuenta de GitHub uamcp, dueña del repo
Todavía no hemos leído este repo en GitHub
Todavía no hemos leído este repo en GitHub
Este se ejecuta en tu computadora; no hay endpoint en internet
Se ejecuta en tu computadora y usa ajustes locales en su lugar
Se ejecuta en tu computadora; solo podemos leer listas de herramientas de endpoints en internet
Comparado con todos los servidores activos de esta categoría en el registro. Las estrellas solo cuentan cuando quien lo publica es dueño del repo.
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.
El registro no indica ninguna clave obligatoria, aunque algunos servidores te piden iniciar sesión la primera vez que los usas.
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).
El repo de GitHub cambió por última vez –, y la última versión (1.2.16) llegó al registro hace 4 meses.
Las apps compatibles con MCP, como Claude Desktop, Claude Code, Cursor y VS Code. También necesitas Node.js en tu computadora.
En la misma categoría: GitHub, Desktop Commander, Cloudflare MCP
Servidores de la misma categoría hechos por otros creadores, ordenados por estrellas.
Cómo leer una tarjeta:↓ Descargas por semanai★ Estrellas de GitHubiTres pilares: reseñas · revisiones · usoiActualizado = fecha en que se publicó la última versión en el registroi
Connect AI assistants to GitHub - manage repos, issues, PRs, and workflows through natural language.
MCP server for terminal commands, file operations, and process management
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.
A Model Context Protocol (MCP) server that empowers your AI agents to understand your entire project architecture, and a headless CI gateway to enforce architectural rules before code is merged.
[!NOTE]
Prerequisite:
ua-mcpis a lightweight reader that connects your AI assistant to your local Understand-Anything knowledge graph. It does not build the graph itself.
You must install the core scanner from Egonex-AI/Understand-Anything and run
/understandin your project to produce the.ua/knowledge-graph.jsonfile. Commit this file to your repository before proceeding.
Get your AI assistant hooked up with architectural context in 60 seconds. ua_find_callers, ua_impact_analysis, and ua_precheck work immediately for free with no license key required!
Add this to your claude_desktop_config.json:
{
"mcpServers": { "understand-anything": { "command": "npx", "args": ["-y", "ua-mcp"], "env": { "UA_PROJECT_PATH": "/absolute/path/to/your/project" } } } }
understand-anythingcommandnpx -y ua-mcpUA_PROJECT_PATH = /absolute/path/to/your/projectThe free upstream Understand-Anything tool is responsible for generating the local knowledge graph and performing manual local analysis. UA-MCP sits on top of this graph to provide an automated governance layer and safety net for your codebase. While the free tool is a diagnostic scanner, UA-MCP actively blocks risky merges via its CI/branch-protection gate (ua-ci) and enforces your custom .ua-rules.json architectural boundaries.
[!IMPORTANT]
[Link to Privacy Policy](https://uamcp.github.io/Understand-Anything-MCP/)
Data Processing Details:
- License keys and email addresses are securely stored for billing purposes.
- Purely local, no network calls:
ua_status,ua_scan,ua_graph_summary,ua_explain,ua_onboarding_doc.
- Sends graph data to the backend:
ua_precheck(Free and Pro), and all Pro-only tools (ua_rules,ua_ci_check,ua_find_callers,ua_impact_analysis,ua_validate_graph). When these tools are used, the full local graph object is sent to our backend for CI risk analysis, rule evaluation, and quota validation. All Pro-tier computation is handled remotely.
- No source code contents are transmitted, only graph metadata (file paths and import relationships). All backend graph processing is done purely in-memory per-request and is never persisted.
### Security Considerations
-
UA_API_URLdefaults to the official backend (https://ua-mcp-backend.onrender.com). Be extremely cautious if you change this to a custom endpoint, as the third-party backend will receive your full knowledge graph and source file paths.
- Self-Hosting: If you are self-hosting the backend, note that a PostgreSQL
DATABASE_URLis required in production. SQLite is not supported for production deployments.
.ua-rules.json to enforce boundaries.[!TIP]
System Instruction Recommended: For the best experience, add the following to your AI assistant's system prompt or custom instructions:
*"Always call
ua_precheckbefore modifying any file in this project."*
src/auth.ts).ua_precheck before making the edit to run an Architectural Safety Linter.You can define specific boundaries in a .ua-rules.json file in the root of your workspace to dictate what the LLM is allowed to touch.
{
// Understand-Anything Architectural Rules // Define constraints that agents and developers must respect. "rules": [ { "id": "no-ui-db-import", "description": "UI layer must never import database layer directly", "from_pattern": "src/ui/", "to_pattern": "src/db/", "severity": "error" }, { "id": "auth-required-for-payments", "description": "Payment modules must always be reachable from auth", "requires_path_through": "src/auth/", "for_pattern": "src/payments/", "severity": "error" } ] }
ua-ci)A companion CLI that runs locally in your GitHub Actions or GitLab CI. It parses your PR diff and compares it to the local graph.
HIGH or violates architectural rules.[!IMPORTANT]
The True Enforcement Backstop: While local agents rely on system instructions to run
ua_precheck, theua-cicommand is designed to be your unbypassable safety net.
By running
ua-ciin your GitHub Actions and requiring it as a status check in GitHub Branch Protection, you ensure that no rogue edits can ever be merged into production without explicit approval.
Note on Free Tier: If a valid Pro license key is not detected in the environment variables, the CI check will log a warning and silently pass (exit 0) so it does not block builds for non-paying users.
# .github/workflows/ua-ci.yml
name: Understand-Anything CI Check on: pull_request: branches: [ main ]
jobs: ua-ci-check: runs-on: ubuntu-latest steps:
When connected to Claude Desktop or an MCP client, the following tools become available to the agent:
claude_desktop_config.json)Add the following to your Claude Desktop config file (usually ~/Library/Application Support/Claude/claude_desktop_config.json on macOS or %APPDATA%\Claude\claude_desktop_config.json on Windows):
{
"mcpServers": { "understand-anything": { "command": "npx", "args": ["-y", "ua-mcp"], "env": { "UA_PROJECT_PATH": "/path/to/your/project", "UA_LICENSE_KEY": "your_license_key_here" } } } }
understand-anythingcommandnpx -y ua-mcpAdd to your config.json under mcpServers:
"understand-anything": {
"command": "npx", "args": ["-y", "ua-mcp"] }
The Understand-Anything MCP Server operates on a tiered licensing model.
Available out of the box with no license required.
ua_find_callers: Retrieves reverse dependencies up to 2 hops (Now unlimited and free!).ua_impact_analysis: Retrieves full transitive closure of reverse dependencies (Now unlimited and free!).ua_precheck: Pre-flight architectural risk check (10 checks/day, default critical-path rules only)ua_status: Returns MCP health status.ua_scan: Forces a re-scan of the workspace.ua_graph_summary: Returns aggregated node/edge statistics.ua_architecture_report: Groups files by top-level modules.ua_dependency_report: Identifies files with the most incoming dependencies (fan-in).ua_explain: Retrieves 1-hop dependencies for a specific file.ua_onboarding_doc: Generates onboarding context.Pro Tier — Architectural Enforcement & CI Safety
Team Use: One Pro license key can be shared across your entire team's CI pipelines and MCP configurations — no per-seat pricing.
ua_rules & ua_rules_check: Enforce custom .ua-rules.json boundaries. Evaluates constraints to ensure recent changes haven't introduced violations.ua_ci_check & ua-ci: Block risky PRs in GitHub Actions before they reach production. Analyzes Git PR diffs for architectural impact.ua_precheck: Unlimited pre-flight checks with configurable critical paths and .ua-rules.json enforcementua_validate_graph: Checks the knowledge graph schema for corruption.| Tier | Price | Features |
|---|---|---|
| Free | $0 forever | Basic graph operations, local storage. |
| Pro | $10/month OR $50 one-time | Unlimited nodes, advanced graph analytics, rule enforcement, priority support. (Lifetime access limited availability) |
Get your license key:
.env file or Claude config matches the one on your dashboard.UA_PROJECT_PATH is absolute or resolves correctly relative to where the server runs.MIT License