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

Phlow MCP Server

de qompassaiversión 0.2.1i★ –iSe ejecuta en tu computadora
Nombre en el registroai.qompass/phlow

Instalar

Resumen

Descripción del creador (original en inglés)

MCP server for the phlow agent runtime: bounded planner-coder-reviewer agent workflows.

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: Otros

Instalación

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

Antes de instalar

¿Qué app usas?

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

Descargar el archivo .mcpb del creador

El enlace lleva al archivo del propio creador; no lo alojamos ni lo reempaquetamos. Abre el archivo y Claude Desktop lo instalará.

Ejecuta esto en tu terminal

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.

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 el dominio qompass.ai (el registro comprueba quién es dueño del dominio)

  • … 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 Otrosi

  • Más estrellas que el 0% de los otros 32461 servidores de esta categoría
  • Publicado en el registro más recientemente que el 67% de los otros 32461 servidores de esta categoría
  • Revisiones básicas iguales o mejores que el 100% de los otros 32461 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 Phlow MCP Server?

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 (0.2.1) llegó al registro hace 18 días.

¿Qué apps pueden usarlo?

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

¿Qué puedo usar en su lugar?

En la misma categoría: Spec Driven Development, Remote Desktop Commander, dotnet-mcp

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

Spec Driven Development

de formulahendry

MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.

Se ejecuta en tu computadora★ 440MITActualizado hace 14 meses
Instalar

Remote Desktop Commander

de desktop-commander

Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

Se ejecuta en la nube★ 211Actualizado ayer
Instalar

dotnet-mcp

de Skymly

MCP server for .NET symbols, XAML, source generators, and restricted workspace edit

Se ejecuta en tu computadoraActualizado hoy
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.

Phlow

Local, bounded planner → coder → reviewer workflows, with real file tools and a host-enforced verification gate. Ollama is the default backend. CLI, terminal UI and the MCP server share one safe runtime; none uses the old unrestricted shell or auto-loaded plugin path.

Flow can work alone or bidirectionally with Rose: Rose calls Flow over MCP stdio; Flow calls Rose's native editor tools over a private Neovim socket.

Get started

Requirements: Python 3.11+, uv, and Ollama with an installed tool-capable model. POSIX is required for Flow's secure local file I/O; the primary targets are Linux and macOS.

From this checkout:

uv venv .venv

uv pip install --python .venv/bin/python -e '.[editor,dev]'

In a separate terminal, if not already running:

ollama serve ollama pull qwen2.5-coder:7b

No model request or command execution; this also works without Ollama running:

.venv/bin/flow status --workspace /absolute/path/to/project

The editor extra installs optional pynvim. dev installs pytest, Ruff and the wheel builder. Omit extras for the basic CLI/TUI runtime. Dependencies belong in the project environment, not a global Python installation.

Approve checks, then run

Create an operator-reviewed TOML file, for example flow-operator.toml. Workspace values must be at the root, before any TOML table header.

workspace_dir = "/absolute/path/to/project"

[ollama] base_url = "http://127.0.0.1:11434" model = "qwen2.5-coder:7b" timeout = 120 # seconds

[models] planner = "qwen2.5-coder:7b" coder = "qwen2.5-coder:7b" reviewer = "qwen2.5-coder:7b"

[agent] max_iterations = 6 # model turns per role invocation max_cycles = 2 # coder → verification → reviewer cycles max_tool_calls = 64 # total across the entire run max_context_chars = 100000

[checks.tests] cmd = [".venv/bin/python", "-m", "pytest", "-q"] timeout = 60000 # milliseconds, as in Rose required = true kind = "test" filetypes = ["python"]

[checks.lint] cmd = [".venv/bin/ruff", "check", "."] timeout = 30000 required = true kind = "lint" filetypes = ["python"]

Those executables must exist in the target project's environment; Flow does not install project dependencies or select commands for you. For this Flow checkout, the included config.toml supplies its own test and lint checks.

.venv/bin/flow check --config /absolute/path/to/flow-operator.toml --trusted

.venv/bin/flow run --config /absolute/path/to/flow-operator.toml --trusted \ "Fix the failing parser tests and explain the changes" .venv/bin/flow status --workspace /absolute/path/to/project .venv/bin/flow tui --config /absolute/path/to/flow-operator.toml --trusted

run, check, and status print one JSON object. Exit codes: 0 for an ok result, 1 for failed/unverified results, 2 for configuration/usage errors, and 130 for an interrupted session. Common flags work before or after the command. --workspace overrides configuration before runtime/tool construction; --model overrides every role. With no subcommand, flow starts the TUI.

TUI commands: /help, /status, /check [name], /tools, /models, /model , /build , /clear, /quit. Ctrl-D exits. Natural-language tasks and /build use the same verified runtime. Every task has fresh, separate role contexts. Legacy /plugins, /evolve, /memory, and /feedback are explicitly unavailable, not silently wired to unsafe helpers.

What “verified” means

A run is verified: true only when:

  1. The planner/coder complete within their budgets.
  2. At least one required named check runs, and every required check passes.
  3. Every source file changed through Flow has successful relevant static analysis.
  4. A separate read-only reviewer returns a structured approval.
  5. Edited files have not changed during verification/review and attached editor buffers are not dirty.

Static evidence is an explicitly configured required check with kind = "lint", "typecheck", or "diagnostics" and matching filetypes, or a completed native Rose linter returning status="ok", verified=true. kind="test", "build", and "check" do not by themselves establish static language coverage. Use language names ("python"), extensions (".py"), or an explicit "*" only when a check really covers every language you edit. Unknown source extensions can use their extension or suffix as the coverage key. Documentation/data extensions such as .md, .json, and .toml still require the named gate but do not require a source-language linter.

All required checks run: filetypes describes coverage, never silently skips a required command. Optional checks are reported but cannot replace a required gate. Checks are language-agnostic exact argv: Rust, Go, TypeScript, C, Nix, or another language can use the same mechanism. There are no inferred npx downloads or automatic package-manager installs.

Missing executables/checks, timeout, invalid reviewer output, absent static coverage and exhausted budgets are not success. Failed checks and review issues feed the next bounded repair cycle. Reports retain checks, verification.coverage, verification_history, changed files, role/model/turn counts and tool-call IDs/errors. Empty cached LSP diagnostics are only a snapshot, not verification; a missing LSP remains explicitly unavailable even when a real linter independently verifies its configured scope. Actual diagnostic errors or stale results veto native coverage.

This is evidence within configured checks' scope, not a proof that all behavior, all languages, or an entire application are correct.

Trust and security

  • Default mode is read-only. --trusted allows project edits and explicitly configured named checks. It does not approve new model-selected commands.
  • --config FILE explicitly approves loading that operator file. Workspace config.toml/.flow.toml are never auto-loaded, even with --trusted. Only $XDG_CONFIG_HOME/flow/config.toml (default ~/.config/flow/config.toml) is loaded automatically as user configuration.
  • No model-controlled shell, Python/Bash code execution, executable arguments, cwd, environment overrides, deletion tool, plugins, Lua, or Ex commands. A named check may invoke an interpreter, but its entire argv is fixed by operator configuration and snapshotted before the run.
  • File tools require relative paths. Parent traversal, absolute/Windows-style paths, .git, symlinks, multiply-linked files and outside-root paths are rejected. Writes are atomic, size-limited, descriptor-relative and no-follow. Root replacement is detected as stale. Operator configuration cannot be edited through the model file tools.
  • File reads/writes are limited to 256 KiB. Listings are capped and exclude generated directories. Tool output and model response sizes are bounded.
  • The default Ollama URL is loopback. HTTP redirects and environment proxies are disabled. Non-loopback endpoints require explicit ollama.allow_remote=true; no cloud fallback, API key lookup or automatic external search exists.
  • Trusted project tests/builds/linters execute code and can access the OS, network and files as your user. Named commands can run project configuration, plugins or hooks. This is not an OS sandbox: review the project and the exact check command, use a container/VM for untrusted projects, and do not run Flow with elevated privileges. Concurrent hostile same-user processes are outside the security guarantee.

Legacy executable factories now fail closed. The former application generator and orchestrator names require an explicit Runtime; their raw-write/text-to-shell paths are gone. Bundled prompts/profiles are installed inside flow/skills and read as package resources, never implicitly from a project's skills/ directory.

Rose integration

Configure Rose's native entrypoint with the same absolute workspace and trust:

require('rose').setup({

workspace = '/absolute/path/to/project', trusted = true, ollama = { base_url = 'http://127.0.0.1:11434', model = 'qwen2.5-coder:7b' }, flow = { cmd = { '/absolute/path/to/flow/.venv/bin/flow', 'serve', '--config', '/absolute/path/to/flow-operator.toml' }, bridge = true, timeout = 300000, -- milliseconds; budget for the complete bounded run }, })

Rose appends the workspace/trust flags and starts/passes a private socket for the reverse bridge. Manual invocation has the same interface:

flow serve --workspace /absolute/root --trusted \

--config /absolute/operator.toml --nvim /private/directory/nvim.sock \ --editor-timeout 120

The socket must be explicitly supplied and same-user/private: on POSIX use a 0700 parent directory or a socket inaccessible to group/others. TCP is rejected. A Neovim socket grants arbitrary code execution to other same-user clients; keep it private. Flow itself only sends the fixed expressions return require('rose.tools').schemas() and return require('rose.tools').call(...), with names/args as parameters.

Editor schemas are discovered dynamically and filtered to editor_context, editor_diagnostics, editor_symbols, editor_references, editor_lint, editor_check, editor_scip, and editor_debug. Debug launch/probes remain manual: the agent sees only editor_debug status. Planner/reviewer receive read-only tools, not checks/lint or writes.

For buffer safety the reverse bridge also allowlists fixed file_read and file_write calls. Flow validates its paths, trust, role, size and protected configuration first, verifies Rose's resolved workspace matches, then uses Rose's buffer-aware I/O. Unsaved/read-only buffers are not overwritten; loaded buffers are synchronized with disk writes. An unavailable/mismatched bridge does not fall back to unsafe disk writes. Named checks refuse unsaved buffers. Rose's editor-context freshness API v1 is required: Flow checks the global dirty buffer list and compares loaded/observed workspace snapshots across checks and review, including noncurrent buffers. Missing freshness fields fail closed.

pynvim is imported on the main thread before attachment (pynvim records the signal-owner thread at import time); connection creation, requests and close stay on one owning worker. Editor request timeout defaults to 120 seconds and is configurable from 0.1–660 seconds. Model and check timeouts have separate units. SCIP support is decoded JSON supplied by Rose, not raw protobuf decoding. No reverse flow_run calls are exposed.

MCP wire contract

One UTF-8 JSON-RPC 2.0 object per newline; not Content-Length framing. Protocol 2025-11-25; compatible dates 2025-06-18 and 2025-03-26 are accepted. Send initialize, then notifications/initialized, before tools/list or tools/call. ping is available throughout.

ToolArguments
flow_status{}
flow_run{"task":"..."}
flow_check{} or {"name":"configured-name"}

Tool responses contain content=[{type:"text",text:" "}], structuredContent=report, and isError for non-ok outcomes. The MCP tool list is intentionally only these three tools. Stdout is protocol only; stderr is for diagnostics. Parse/method/parameter errors preserve JSON-RPC IDs where valid. Oversized frames close the session after an error.

The server is deliberately sequential to fit on device. It does not process notifications/cancelled cooperatively during a running request. To cancel, terminate the Flow session (RoseStop): SIGTERM/KeyboardInterrupt unwind active check process-group cleanup and close the editor client; reconnect afterward. Already saved edits are not r

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

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