Google PageRank for AI agents. 25,000+ tools indexed.

agentacct MCP Server

mikehasa/agentacct

Score: 67.7 Rank #4546 Monitoring
[![AgentRank](https://agentrank-ai.com/api/v1/badge/mikehasa--agentacct)](https://agentrank-ai.com/tool/mikehasa--agentacct/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge)
Are you the maintainer of mikehasa/agentacct? Claim this listing →

See what your coding agents did and what it cost. Breaks each task down into work steps — tools used, files changed, tests run, time and tokens spent. Local-first dashboard for Claude Code, Codex, OpenCode, and more. No login, no telemetry.

Add AgentRank to Claude Code Discover and compare tools like mikehasa/agentacct — your AI finds the right one automatically
Get API Access →
claude mcp add agentrank -- npx -y agentrank-mcp-server

Overview

mikehasa/agentacct is a Python tool licensed under MIT. See what your coding agents did and what it cost. Breaks each task down into work steps — tools used, files changed, tests run, time and tokens spent. Local-first dashboard for Claude Code, Codex, OpenCode, and more. No login, no telemetry. Topics: agent-observability, ai-agents, analytics, claude-code, cli, codex, coding-agent, cost-tracking, dashboard, developer-tools, devtools, llm, llmops, local-first, mcp, observability, opencode, python, token-usage.

Ranked #4546 out of 24846 indexed tools.

Ecosystem

Python MIT 728 pypi/wk
agent-observabilityai-agentsanalyticsclaude-codeclicodexcoding-agentcost-trackingdashboarddeveloper-toolsdevtoolsllmllmopslocal-firstmcpobservabilityopencodepythontoken-usage

Score Breakdown

StarsFreshnessIssue HealthContributorsDependents
Stars 15% 766

766 stars → growing community

Freshness 25% 1mo ago

Last commit 1mo ago → moderate activity

Issue Health 25% 10%

7/67 issues closed → many open issues

Contributors 10% 7

7 contributors → small team

Dependents 25% 0

No dependents → no downstream usage

npm Downloads N/A
PyPI Downloads 13% 728/wk

728 weekly installs → early adoption

Forks 82
Description Detailed
License MIT

Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →

How to Improve

Freshness high impact

Last commit was 39 days ago — a recent commit would boost your freshness score

Issue Health high impact

You have 60 open vs 7 closed issues — triaging stale issues improves health

Dependents medium impact

No downstream dependents detected yet — adoption by other projects is the strongest trust signal

Badge all embed codes →

AgentRank score for mikehasa/agentacct
[![AgentRank](https://agentrank-ai.com/api/v1/badge/mikehasa--agentacct)](https://agentrank-ai.com/tool/mikehasa--agentacct/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge)
<a href="https://agentrank-ai.com/tool/mikehasa--agentacct/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge"><img src="https://agentrank-ai.com/api/v1/badge/mikehasa--agentacct" alt="AgentRank"></a>

Embed Widget docs →

Embed a rich score widget on your site or blog.

<script src="https://agentrank-ai.com/embed.js" data-tool="mikehasa/agentacct"></script>

Matched Queries

topic:mcp

From the README

# agentacct

English · [简体中文](README.zh-CN.md)

**agentacct answers one simple question: what the fuck are my agents actually doing?**

See what your coding agents have been working on, across projects and clients: recent activity, tool calls, recorded steps, checks, tokens, and estimated cost. Open a task for its Work Receipt and follow the activity timeline from attempt to result. Built from the local session logs of Claude Code, Codex, OpenCode, Hermes, and others. No account, no cloud, nothing leaves your computer.

<sub>Screenshots show a synthetic demo workspace; your install renders your own local data.</sub>

## Install

```bash
pipx install agentacct
agentacct onboard   # once per machine: finds your agents, sets up a local store, starts the recorder
agentacct tui       # the terminal app
```

Requires Python >= 3.11 on macOS or Linux; Windows is supported only via WSL. For a native window with no Python, download the signed, notarized **macOS app** from the [latest release](h
Read full README on GitHub →

Get the weekly AgentRank digest

Top movers, new tools, ecosystem insights — straight to your inbox.