codex-trajectory MCP Server
icesixgod/codex-trajectory
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Privacy-aware trajectory viewer for local Codex task logs
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icesixgod/codex-trajectory is a Python tool licensed under MIT. Privacy-aware trajectory viewer for local Codex task logs Topics: codex, codex-plugin, developer-tools, mcp, python, trajectory, uv.
Ranked #941 out of 24846 indexed tools.
In the top 4% of all indexed tools.
Ecosystem
Python MIT
codexcodex-plugindeveloper-toolsmcppythontrajectoryuv
Score Breakdown
Stars 15% 249
249 stars → growing community
Freshness 25% 10d ago
Last commit 10d ago → recently updated
Issue Health 25% 100%
2/2 issues closed → responsive maintainer
Contributors 10% 1
1 contributor → solo project
Dependents 25% 0
No dependents → no downstream usage
npm Downloads N/A
PyPI Downloads N/A
Forks 16
Description Good
License MIT
Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →
How to Improve
Description low impact
Contributors medium impact
Dependents medium impact
Matched Queries
From the README
# Codex Trajectory **English** · [简体中文](README.zh-CN.md) **Version 1.0.0** · October 2, 2026 · [Changelog](CHANGELOG.md#100---2026-10-02) See what happened in a Codex task, where time went, and how many tokens it used. Codex Trajectory is a plugin that turns local Codex logs into a searchable event ledger and interactive timeline. Open it from the app list under **…** in Codex's left toolbar for a fullscreen viewer, or from a task's right panel. *Captured from the current viewer on October 2, 2026, using synthetic demo data.* ## What you can see - **Task history:** messages, saved reasoning summaries, tool calls, subagent activity, and context compaction. - **Timing and failures:** event durations, execution status, and a timeline to locate slow calls. - **Tokens and cost:** task and turn totals, cache usage, and estimated cost. - **Live activity:** a scrolling event stream, token totals, cost estimates, and the latest available local quota sample. - **History browsing:** searchRead full README on GitHub →
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