World Monitor
Real-time global intelligence on conflict, markets, energy, trade, shipping and cyber. 97 tools.
MCP server for the phlow agent runtime: bounded planner-coder-reviewer agent workflows.
Pick the AI app you use, then copy the settings.
Passed 3/3 checks · Runs on your computer
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Works with Claude, with some setup first
No key, nothing to install · Only the Claude desktop app (Windows or Mac), not the web or phone
Download the maker’s .mcpb file
The .mcpb file comes straight from the maker; we do not change it
Use Phlow MCP Server and tell me what you can do for me, then show me one thing✓ If Claude says it is using Phlow MCP Server or shows a Phlow MCP Server tool in the answer, you are connected
Menu names checked against Anthropic’s help page on Nov 11, 2026 · your screen may differ slightly by app version
ChatGPT cannot connect Phlow MCP Server yet
Phlow MCP Server runs on your computer, but ChatGPT can only connect servers that run on the web
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B · Others in Other that work with ChatGPT
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Claude Code cannot connect Phlow MCP Server yet
The maker only provides an installer for the Claude desktop app
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Cursor cannot connect Phlow MCP Server yet
The maker only provides an installer for the Claude desktop app
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VS Code cannot connect Phlow MCP Server yet
The maker only provides an installer for the Claude desktop app
A · Use an app that can connect Phlow MCP Server
mcpb: …/phlow-mcp-0.2.2-linux-x64.mcpbBased on how this server connects and on each app’s own docs, checked Nov 10, 2026.
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ClaudeGooseLM StudioMsty StudioCherry StudioVisual StudioWindsurf (Devin Desktop)ZedKiroClineContinueJetBrains AI AssistantCodex CLIGemini CLIOpenCodenodecodeWarpLibreChatRaycast
Runs on your computer; the tool list appears in your AI app after you install it.
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 14, 2026
The registry name was verified against the domain qompass.ai (the registry checks domain ownership)
Code last changed 3 days ago
Uses Apache-2.0
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
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Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 3 of 3 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
The registry does not list a required key, though some servers ask you to sign in on first use.
It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).
The GitHub repo last changed 3 days ago, and the latest version (0.2.2) reached the registry 3 days ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need MCPB on your computer.
In the same category: World Monitor, Claude Flow, Windmill
Servers in the same category from other makers, sorted by stars.
Reading a card:↓ Downloads per weeki★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
Real-time global intelligence on conflict, markets, energy, trade, shipping and cyber. 97 tools.
AI orchestration with hive-mind swarms, neural networks, and 87 MCP tools for enterprise dev.
Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.
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.
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]'
ollama serve ollama pull qwen2.5-coder:7b
.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.
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.
A run is verified: true only when:
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.
--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..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.ollama.allow_remote=true; no cloud fallback, API key lookup or automatic external search exists.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.
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.
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.
| Tool | Arguments |
|---|---|
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