Works inside Claude Code
No browser tab, no upload flow. Arclat runs as an MCP server inside the editor you already live in.
Arclat audits your agent codebase for latency bottlenecks, ranks them by the time they cost, and applies fixes, all from a single Claude Code conversation. No log files, no context switching.
Add to Claude Code config and you’re running.
Bottlenecks sorted by time lost, not guesswork.
Apply patches directly from Claude Code.
One-line install
Add to Claude Code config
{
"mcpServers": {
"arclat": {
"command": "uvx",
"args": ["arclat-mcp"],
"env": {
"ARCLAT_API_KEY": "your_api_key_here"
}
}
}
}Then say in Claude Code:
“Audit this codebase for latency issues”
Everything Arclat does happens where you already work. Point it at a codebase and it does the rest.
No browser tab, no upload flow. Arclat runs as an MCP server inside the editor you already live in.
AST-based analysis on your real .py source, not logs, not traces, not guesses. The true source of bottlenecks.
Findings sorted by the time they cost, so you fix what actually matters instead of chasing micro-optimizations.
Ask Claude Code to apply a fix and Arclat patches the file in place, with a diff you approve first.
Wire the same engine into a GitHub Action and fail the build when a change regresses agent latency.
Analysis runs locally through the MCP server. Only usage metadata syncs, never your source.
Drop the Arclat MCP entry into your Claude Code config and paste your API key.
“Audit this codebase for latency issues.” Arclat parses your code and ranks every bottleneck.
Review the ranked findings, then let Arclat patch the ones you approve, right in your editor.
Start free. Upgrade when you want unlimited audits and in-editor fixes.
Install Arclat in Claude Code and get a ranked latency audit of your agent codebase in under a minute.