Harflow MCP runs on your own machine — the client starts it, so there is no endpoint to ping. 313 installs a week from pypi. Last commit 24 Oct 2026.
Dispatch coding tasks to local headless agents with persistent history and workflows.
We read the source, 1 h ago · rules 995398eba69f
A value the model can set ends up inside a file or shell call. That is not a flaw by itself — for a terminal server it is the job — but it is where things go wrong when it is not.
subprocess.Popen([sys.executable, "-m", "harflow_mcp.workflows", "supervise", run_id, "--root", str(storage.root)], stdin=subprocess.DEVNULL, stdout=output, stderr=output, start_new_session=True, close_fds=True, env=child_environment(storage.state_layout))
What this server is able to do. For an MCP server this is often the job itself — a terminal server runs commands because that is what it is for. Listed so you know what you are plugging in, not as an accusation.
version = subprocess.run([binary, "--version"], capture_output=True, text=True, timeout=5, check=False)
environ = dict(os.environ)
Is this your server and something here is wrong? Tell us — corrections are free and do not require a plan.
That is not a flaw by itself — but it is where things go wrong when it is not the job. We re-read this code on every release. Watch it and you hear from us the day another one appears.
This server runs on your own machine — install it with the package manager and the client starts it for you. Package name taken from the official registry entry.
claude mcp add harflow-mcp -- uvx harflow-mcp
{
"mcpServers": {
"harflow-mcp": {
"command": "uvx",
"args": [
"harflow-mcp"
]
}
}
}
[mcp_servers.harflow-mcp]
command = "uvx"
args = ["harflow-mcp"]
{
"mcpServers": {
"harflow-mcp": {
"command": "uvx",
"args": [
"harflow-mcp"
]
}
}
}
{
"servers": {
"harflow-mcp": {
"type": "stdio",
"command": "uvx",
"args": [
"harflow-mcp"
]
}
}
}
Local-first shared memory and task coordination for AI coding agents. Go daemon plus headless CLI.
Local QA workflows, test evidence, screenshot maps and confidence reports for AI coding agents.
Document AI and headless DMS: OCR, IDP, search, workflows, signatures. EU-hosted, OAuth 2.1.
Find and compare headless apps (CLI, MCP, API) for agents, with sources, lessons and changes.
Verification browser for coding agents: headless WebKit, DOM eval, screenshots, pixel-diff.
Exposes recorded browser sessions (rrweb DOM, console, network) to AI coding agents, fully local
Token-auth Notion MCP: pages, databases, blocks, comments, files. Runs headless in CI and agents.
Control visible, persistent Hronaut browser workspaces through a local MCP connection.
Answers built from our own checks of this server.