Vectr runs on your own machine — the client starts it, so there is no endpoint to ping. 156 installs a week from pypi. Last commit 6 Sep 2026.
Semantic codebase search + persistent working memory for AI code editors. Local, no API key.
We read the source, 2 d ago · rules 995398eba69f
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.
subprocess.Popen(
abs_path = os.path.normpath(os.path.join(root, path))
cp.spawn(launcher.command, [...launcher.args, 'start', '--path', workspaceRoot, '--port', String(preferredPort)], {
Is this your server and something here is wrong? Tell us — corrections are free and do not require a plan.
We found places where it runs commands, builds paths or queries from values it is given. None of that is a flaw by itself — it becomes one when the code changes, and code changes quietly between releases. We re-read it on every one.
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 vectr -- uvx vectr
{
"mcpServers": {
"vectr": {
"command": "uvx",
"args": [
"vectr"
]
}
}
}
[mcp_servers.vectr]
command = "uvx"
args = ["vectr"]
{
"mcpServers": {
"vectr": {
"command": "uvx",
"args": [
"vectr"
]
}
}
}
{
"servers": {
"vectr": {
"type": "stdio",
"command": "uvx",
"args": [
"vectr"
]
}
}
}
Optional settings from the registry entry, left out of the block above:
VECTR_PORT (Port the local vectr daemon serves MCP on. Start the daemon with `vectr start` before connecting).
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Answers built from our own checks of this server.