Claude Code cost tracking, Cursor token usage, Codex spend — AI coding agent observability across 26 adapters, proxy-accurate token counts and cost.
Superbased MCP server is a hosted integration for AI assistants that speak the Model Context Protocol. Claude Code cost tracking, Cursor token usage, Codex spend — AI coding agent observability across 26 adapters, proxy-accurate token counts and cost.
If SuperBased catches something useful in your next bill, a star helps other people looking for the same thing find it.
Four headline KPI tiles (sessions, API turns, token rows, stale re-reads — each filterable by the global Window / Tool / Project chips), cost-over-time stacked area split by billable token bucket, actions-over-time stacked by tool, top models by token volume, top tools by action count.
Being a remote server, there is no local install. You register the endpoint with your client, authorise it once, and the tools appear.
You will need 2 environment variables: ANTHROPIC_BASE_URL, OPENAI_BASE_URL. The server will not start without them, which is usually why the tools fail to appear on a first run. Keep credentials in your client's env block or a secrets manager rather than in a file you might commit.
This sits in the monitoring and observability group, where several servers overlap in what they claim to do but differ sharply once you actually set them up.
This entry was verified against Superbased's own documentation before publication; SyncDev keeps the directory reviewed rather than auto-generated.
{
"mcpServers": {
"superbased-observer": {
"command": "npx",
"args": ["-y", "@superbased/observer"],
"env": {
"ANTHROPIC_BASE_URL": "your-value",
"OPENAI_BASE_URL": "your-value"
}
}
}
}Add to claude_desktop_config.json, then restart Claude Desktop.
| Variable | Description | Required |
|---|---|---|
| ANTHROPIC_BASE_URL | Endpoint or connection string the server talks to. | Yes |
| OPENAI_BASE_URL | Endpoint or connection string the server talks to. | Yes |
Give your coding agent the full DevTools toolbox: traces, network, console, heap snapshots and Lighthouse.
Dashboards, Prometheus and Loki queries, incidents and alerts — observability by conversation.
Errors with full context — stack traces, issue triage and AI-powered root-cause analysis from Sentry's server.
Enables enhanced web research capabilities for large language models through intelligent search queuing and advanced content extraction.
Automates browser interactions and enables Large Language Models (LLMs) to interact with web pages through Playwright and Chrome DevTools Protocol
Guides tool usage by providing recommendations for MCP tools at each problem-solving stage.