Scope Analytics runs on your own machine — the client starts it, so there is no endpoint to ping. 2 099 installs a week from pypi.
Set up, install and query Scope analytics from an AI coding agent (Claude Code, Cursor, etc.).
Today is the operative word: we check Scope Analytics every 15 minutes and re-read its code on every release. Watch it and you find out the day that stops being true.
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 scope-analytics-mcp -- uvx scope-analytics-mcp
{
"mcpServers": {
"scope-analytics-mcp": {
"command": "uvx",
"args": [
"scope-analytics-mcp"
]
}
}
}
[mcp_servers.scope-analytics-mcp]
command = "uvx"
args = ["scope-analytics-mcp"]
{
"mcpServers": {
"scope-analytics-mcp": {
"command": "uvx",
"args": [
"scope-analytics-mcp"
]
}
}
}
{
"servers": {
"scope-analytics-mcp": {
"type": "stdio",
"command": "uvx",
"args": [
"scope-analytics-mcp"
]
}
}
}
Optional settings from the registry entry, left out of the block above:
SCOPE_API_KEY (Optional. A Scope project SECRET key (sk_...). Leave it out: the agent links a project with scope_link_project and you approve it in your browser), SCOPE_API_BASE (Scope backend base URL. Optional; defaults to https://api.scopeai.dev).
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Answers built from our own checks of this server.