原型 · 预览版:收录官方注册中心里的全部服务器,每 30 分钟同步一次。使用 Google 登录即可撰写评价。原型 · 每 30 分钟更新
PopNx MCP为使用 AI 的人准备的 MCP 服务器 · 用大白话讲清楚

Phlow MCP Server

作者:qompassai版本 0.2.2i★ 0i在你的电脑上运行
注册名称ai.qompass/phlow

安装方法

What it does

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

  • Connects 在你的电脑上运行
  • Account or key No key needed
  • Category 其他

为什么排在这里

列表按使用分(满分 100)排序,由以下部分组成

热度0/80GitHub 星标或每周下载量:较大的计 60,较小的计 20
新鲜度12/1230 天内有发布或代码更新得满分
仍在响应0/8上次检查时云端端点有响应
使用分12/100

质量: 基础检查通过 3/3 项(仅展示,不用于排序) · 上升势头: 暂无数据 (只用于“上升中”标签)

安装

选择你使用的 AI 应用,然后复制设置。

通过 3/3 项检查 · 在你的电脑上运行

第一步:你用哪个 AI?

选择你用的应用,步骤会显示在下方。

可连接 Claude,但需要先准备

不需要密钥,不用安装程序 · 仅限电脑上的 Claude 应用(Windows 或 Mac),网页和手机不可用

  1. 下载开发者的安装文件

    下载作者的 .mcpb 文件

    .mcpb 文件直接来自开发者,我们没有修改

  2. 双击文件,然后在电脑版 Claude 应用中点击 Install

  3. 试一试

    用 Phlow MCP Server 告诉我你能帮我做什么,然后做一件给我看

    ✓ 如果 Claude 说正在使用 Phlow MCP Server,或回答中出现 Phlow MCP Server 的工具名称,就表示连接成功

菜单名称已于 2026年11月11日 对照 Anthropic 帮助页面核实 · 你的界面可能因版本略有不同

ChatGPT 暂时无法连接 Phlow MCP Server

Phlow MCP Server 需要安装在你的电脑上,而 ChatGPT 只能连接在网上运行的服务器

你可以改用这些方式

A · 使用能连接 Phlow MCP Server 的应用

  • 不需要密钥,不用安装程序 · 仅限电脑上的 Claude 应用(Windows 或 Mac),网页和手机不可用

B · 其他 类中能连接 ChatGPT 的其他服务器

从同类中使用较多的里挑选,仅限用地址即可连接、无需密钥的

Claude Code 暂时无法连接 Phlow MCP Server

开发者只提供了电脑版 Claude 应用的安装文件

你可以改用这些方式

A · 使用能连接 Phlow MCP Server 的应用

  • 不需要密钥,不用安装程序 · 仅限电脑上的 Claude 应用(Windows 或 Mac),网页和手机不可用

Cursor 暂时无法连接 Phlow MCP Server

开发者只提供了电脑版 Claude 应用的安装文件

你可以改用这些方式

A · 使用能连接 Phlow MCP Server 的应用

  • 不需要密钥,不用安装程序 · 仅限电脑上的 Claude 应用(Windows 或 Mac),网页和手机不可用

VS Code 暂时无法连接 Phlow MCP Server

开发者只提供了电脑版 Claude 应用的安装文件

你可以改用这些方式

A · 使用能连接 Phlow MCP Server 的应用

  • 不需要密钥,不用安装程序 · 仅限电脑上的 Claude 应用(Windows 或 Mac),网页和手机不可用

其他支持 MCP 的应用(如 Windsurf、Zed、Gemini CLI)添加方式各不相同,请在应用列表中查看

查看所有支持 MCP 的应用 →

JSON 设置在下方“开发者专用”中

卡住了?问问正在用 Phlow MCP Server 的人💬 讨论 →

一览

每周下载量i
不在 npm/PyPI 上
已验证域名
✓ qompass.ai
许可证i
Apache-2.0
连接方式
在你的电脑上运行
最新版本i
0.2.2
分类i
其他
发布到注册中心i
2026年11月11日
代码最后更新i
2026年11月11日
作者
qompassai
软件包
mcpb: …/phlow-mcp-0.2.2-linux-x64.mcpb
注册状态
活跃

哪些应用可以使用它

依据这个服务器的连接方式和各应用自己的文档,检查于 2026年11月10日。

在你的电脑上运行,适用于

ClaudeGooseLM StudioMsty StudioCherry StudioVisual StudioWindsurf (Devin Desktop)ZedKiroClineContinueJetBrains AI AssistantCodex CLIGemini CLIOpenCodenodecodeWarpLibreChatRaycast

全部应用及其优缺点 →

它能做什么

它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。

基础检查i

我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月16日

  • ✓ 通过

    作者与仓库一致

    注册名称已通过域名 qompass.ai 验证(注册中心会核实域名所有权)

  • ✓ 通过

    仍在维护

    代码最后更新于5天前

  • ✓ 通过

    有许可证

    使用 Apache-2.0

  • – 不适用

    端点有响应

    它在你的电脑上运行,没有互联网端点

  • – 不适用

    使用 OAuth 登录

    在你的电脑上运行,改用本地设置

  • … 尚未检查

    工具描述中没有隐藏指令

    它在你的电脑上运行;我们只能读取互联网端点的工具列表

已公开的漏洞(OSV.dev)

未检查:只能检查标明版本的 npm 和 PyPI 包

我们检查什么 → · JSON

作者:申请重新检查或报告信息错误

讨论

提问、分享技巧或报告无法使用。按“有帮助”数量排序。

还没有帖子,欢迎第一个提问或分享。

此处内容由用户撰写,不代表 PopNx 团队。

登录后发帖

用户评价

还没有评价

登录后写评价

与“其他”中的其他服务器比较i

  • 星标数多于此分类中其他 20005 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 20005 个服务器的 90% 更新
  • 基础检查结果等于或优于此分类中其他 20005 个服务器的 100%

与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。

常见问题

Phlow MCP Server 安全吗?

它在 3 项适用的基础检查中通过了 3 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。

它需要哪些密钥或代码?

注册中心没有列出必需的密钥,不过有些服务器会在首次使用时要求你登录。

它在我的电脑上运行还是在云端?

它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。

它还在维护吗?

GitHub 仓库最后更新于5天前,最新版本(0.2.2)于5天前进入注册中心。

哪些应用可以使用它?

支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 MCPB。

有什么可以替代它?

同一分类中有:World Monitor, openstatus, Oh My Posh Validator, Strata, Jitsu

功能相近的其他选择

同一分类、其他作者、命令已通过检查。官方的排在前面,再按星标排序。

如何看卡片:↓ 每周下载量i★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i

World Monitor

Real-time global intelligence on conflict, markets, energy, trade, shipping and cyber. 97 tools.

作者:koala73广泛使用★ 9.1万前天更新

在云端运行✓ 服务方 · worldmonitor.app

openstatus

Manage monitors, status pages, incidents and maintenances in your openstatus workspace.

作者:openstatusHQ广泛使用★ 92692个月前更新

在云端运行✓ 服务方 · openstatus.dev

Oh My Posh Validator

Validate oh-my-posh configurations and segment snippets against the official schema.

作者:JanDeDobbeleer广泛使用★ 2.4万 整个仓库的星标27天前更新

在云端运行✓ 服务方 · ohmyposh.dev

Strata

MCP server for progressive tool usage at any scale (see https://klavis.ai)

作者:Klavis-AI正在增长★ 582714个月前更新

在云端运行仓库已归档✓ klavis.ai

Jitsu

Manage Jitsu data pipelines: destinations, streams, connections, functions, live events.

作者:jitsucom广泛使用★ 51354个月前更新

在云端运行✓ 服务方 · jitsu.com
  • World Monitor — 在云端运行,无需安装 · 不需要密钥
  • openstatus — 在云端运行,无需安装 · 不需要密钥
  • Oh My Posh Validator — 在云端运行,无需安装 · 不需要密钥
  • Strata — 在云端运行,无需安装 · 不需要密钥
  • Jitsu — 在云端运行,无需安装 · 不需要密钥

作者的 README

打开 README

按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。

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

只显示了开头部分;其余内容请在仓库中阅读