AI Dev Analytics vs StillOnline — MCP Server Comparison | AllMCPs
AI Dev Analytics vs StillOnline
A side-by-side look at the AI Dev Analytics and StillOnline MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.
Verdict: choose AI Dev Analytics for monitoring work as a local process; choose StillOnline for monitoring as a local process. You can also run both side by side in one mcpServers block.
Which MCP server should you choose?
Choose AI Dev Analytics when
You need dedicated capabilities in the Monitoring domain.
Paste either block (or both) into your client config, e.g. claude_desktop_config.json or ~/.cursor/mcp.json. We only show a config when the install command is confirmed.
AI Dev Analytics is categorized under Monitoring and uses a local stdio subprocess. StillOnline belongs to Monitoring and uses a local stdio subprocess. Pick AI Dev Analytics for monitoring work and StillOnline for monitoring.
Copy the mcpServers block from the config section on this page into your client's config (for example claude_desktop_config.json or ~/.cursor/mcp.json), then fully restart the client.
AI Dev Analytics is listed as free. Auth: no auth required. StillOnline has no declared pricing — check the project's own site. If a server needs environment variables such as API keys, define them under the env key in your client's MCP config.
Yes. MCP clients support multiple servers: add lwtlong-ai-dev-analytics and stillonline as separate keys in the same mcpServers object, and your assistant will call tools from either one.
On AllMCPs, AI Dev Analytics has a quality signal of 52/100 (Good) with 2 views, 0 installs and 8 GitHub stars. StillOnline has 52/100 (Good) with 0 views, 0 installs and 1 GitHub stars.