Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Descripción del creador (original en inglés)
AI orchestration with hive-mind swarms, neural networks, and 87 MCP tools for enterprise dev.
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.
ANTHROPIC_API_KEY, CLAUDE_FLOW_MODE, CLAUDE_FLOW_MEMORY_PATH, CLAUDE_FLOW_MAX_AGENTS, CLAUDE_FLOW_PORT, GITHUB_TOKEN, FLOW_NEXUS_API_KEYLos valores marcados como secretos son llaves de tu cuenta. Nunca los compartas ni los pegues en un chat.
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": {
"claude-flow": {
"command": "npx",
"args": [
"-y",
"claude-flow"
],
"env": {
"ANTHROPIC_API_KEY": "your-value",
"CLAUDE_FLOW_MODE": "your-value",
"CLAUDE_FLOW_MEMORY_PATH": "your-value",
"CLAUDE_FLOW_MAX_AGENTS": "your-value",
"CLAUDE_FLOW_PORT": "your-value",
"GITHUB_TOKEN": "your-value",
"FLOW_NEXUS_API_KEY": "your-value"
}
}
}
}Ejecuta esto en tu terminal
claude mcp add claude-flow --env ANTHROPIC_API_KEY=your-value --env CLAUDE_FLOW_MODE=your-value --env CLAUDE_FLOW_MEMORY_PATH=your-value --env CLAUDE_FLOW_MAX_AGENTS=your-value --env CLAUDE_FLOW_PORT=your-value --env GITHUB_TOKEN=your-value --env FLOW_NEXUS_API_KEY=your-value -- npx -y claude-flowCompleta los valores vacíos antes de ejecutarlo.
Pégalo en .cursor/mcp.json de tu proyecto, o en ~/.cursor/mcp.json
{
"mcpServers": {
"claude-flow": {
"command": "npx",
"args": [
"-y",
"claude-flow"
],
"env": {
"ANTHROPIC_API_KEY": "your-value",
"CLAUDE_FLOW_MODE": "your-value",
"CLAUDE_FLOW_MEMORY_PATH": "your-value",
"CLAUDE_FLOW_MAX_AGENTS": "your-value",
"CLAUDE_FLOW_PORT": "your-value",
"GITHUB_TOKEN": "your-value",
"FLOW_NEXUS_API_KEY": "your-value"
}
}
}
}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": {
"claude-flow": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"claude-flow"
],
"env": {
"ANTHROPIC_API_KEY": "your-value",
"CLAUDE_FLOW_MODE": "your-value",
"CLAUDE_FLOW_MEMORY_PATH": "your-value",
"CLAUDE_FLOW_MAX_AGENTS": "your-value",
"CLAUDE_FLOW_PORT": "your-value",
"GITHUB_TOKEN": "your-value",
"FLOW_NEXUS_API_KEY": "your-value"
}
}
}
}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.
CLAUDE_FLOW_MODE envCLAUDE_FLOW_MEMORY_PATH envCLAUDE_FLOW_MAX_AGENTS envCLAUDE_FLOW_PORT envEsta 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 6 nov 2026
El nombre en el registro se verificó con la cuenta de GitHub ruvnet, 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.
Debes completar: ANTHROPIC_API_KEY, GITHUB_TOKEN, FLOW_NEXUS_API_KEY
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 (2.0.0-alpha.107) llegó al registro hace 14 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: Spec Driven Development, Remote Desktop Commander, Whisper
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
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.
One routable IPv6 per AI agent, verifiable from the DNS root. Keyless tools need no signup.
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.
An agent meta-harness for Claude Code and Codex.
Start in Claude Code with core tools, the visual console and runtime mods. Requires Claude Code 2.1.287 or later. Run inside Claude Code:
/plugin marketplace add ruvnet/ruflo
/plugin install ruflo-core@ruflo /plugin install ruflo-console@ruflo /plugin install ruflo-mods@ruflo /reload-plugins /ruflo
From a terminal on Claude Code 2.1.292 or later, one command adds the marketplace and installs a plugin: claude plugin install ruflo-core@ruflo --marketplace ruvnet/ruflo.
Core provides foundation tools. Console opens the agent cockpit. Mods add routing and policy enforcement inside Claude Code. Mods run with your account's permissions; review their code before installing.
Using Codex or another MCP enabled tool? Use NPX for Ruflo project setup and connect your client to the Ruflo MCP server. Run the setup wizard in your project terminal:
npx ruflo@latest init wizard
For clients that support local stdio MCP servers, configure command npx and arguments ["-y", "ruflo@latest", "mcp", "start"]. The equivalent server command is:
npx -y ruflo@latest mcp start
MCP exposes Ruflo tools to your client. The console and mods above are Claude Code integrations; hook support depends on the client.
Prefer a plain terminal? Optional. The console also runs on its own, with no Claude Code: npx ruflo tui (add --plain to print one frame for scripts). It shows Overview, Cost, Swarm, Events and Missions, plus an optional AI page. Terminal UI guide
Compare install paths · Open the console · User guide
Connect ruOS to ChatGPT or Claude via MCP:
https://ruos.cognitum.one/mcp
npx ruvector
English · 简体中文
[📖 RuFlo Explained — Build an AI Team That Plans, Remembers, Tests, and Improves](docs/ruflo-explained.md) A 14-chapter guide: from the basic idea to a first useful task, then memory, agent teams, plugins, cost and verification.
Agent = Model + Harness. The model writes; the harness gives it tools, memory, loops, sandboxes, and controls so it can actually work. Ruflo is the harness — the execution layer around Claude Code and Codex that adds 100+ specialized agents, coordinated swarms, self-learning memory, federated comms across machines, and enterprise security guardrails. So agents don't just run, they collaborate.
One npx ruflo init gives Claude Code a nervous system: agents self-organize into swarms, learn from every task, remember across sessions, and — with federation — securely talk to agents on other machines without leaking data. You keep writing code. Ruflo handles the coordination.
Conceptual learning loop. Local vector retrieval and contrastive updates can run without an LLM; embeddings and configured learning modules are still required. See the RuVector training integration and trajectory contrastive learning .
Architecture in text
User → Ruflo (CLI/MCP) → Router → Swarm → Agents → Memory → LLM providers. Memory feeds useful experience back into routing. This is a conceptual flow, not a live execution trace.
New to Ruflo? You don't need to learn 406 MCP tools or 61 CLI commands. After
init, just use Claude Code normally — the hooks system automatically routes tasks, learns from successful patterns, and coordinates agents in the background.
Built by [Reuven Cohen (rUv)](https://github.com/ruvnet), originally as Claude Flow. The first commit, June 2, 2025, describes a code orchestration layer for recursive agent cycles: Claude writes, edits, tests and improves. The June 10 source snapshot adds orchestration, task scheduling, memory and terminal modules.
A harness is the workbench around the model: it organizes tasks, carries context between steps and helps check results. This establishes Ruflo's lineage, not a universal first across every Claude Code tool. See the illustrated explainer, exact commits and earlier ecosystem context.
Grok Build: npx ruflo init --grok writes the project host surface (.grok/, the team bus, and the operator guide) and nothing outside the project; add --dry-run to preview. Setup, the spawn_subagent contract, the optional status row, and what to re-check when Grok updates: the Grok operator guide.
📖 Background — where the name comes from
Claude Flow is now Ruflo — named by
rUv, who loves Rust, flow states, and building things that feel inevitable. The "Ru" is the rUv. The "flo" is working until 3am. Underneath, powered byCognitum.Oneagentic architecture, running a supercharged Rust-based AI engine, embeddings, memory, and plugin system.
Open animated demo · Theme Studio guide · Workflow demo
Your agent cockpit. Track workflows, agents, models, tokens and cost beside Claude Code. The 38 second animation shows Orbital and Theme Studio through actual renderer frames, including boot checks, six palettes, customization, saved themes, JSON import and resizing. This compact 3.84 MB SVG retains all 456 frames. Native host and AI provider execution are not demonstrated.
Inspect any run. Open agent logs and results, search, triage failures, replay and compare. Start with npx ruflo init, restart Claude Code, then /ruflo. Full console tour.
Let Claude drive. You set the limits. Enable Settings → Claude control to navigate and run console actions. Choose read, write, manage or full, with ask or auto approval. The current default is read + ask; raising the level is your choice. Actions above your permission level are refused, and network, spending and destructive actions require confirmation even in auto. Review the live action log or press Take back control to stop Claude control. Details.
Watch the recorded console session below. Claude creates a mission, opens the Learning and Security pages, and reports its actions in Overview.
/ruflo, then choose Settings → Claude control → write + ask.Solo se muestra el principio; lee el resto en el repo