cc-sessions-viewer — security grade SAFE, quality 70/100

Security audit verdict: SAFE · quality 70/100

Flagged: sudo usage. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

by jerrywu001 · MCP Server · ★ 378

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

🔒 Is cc-sessions-viewer safe to install? View the security audit →

About cc-sessions-viewer

Sessions Viewer English · 中文 · 日本語 · CHANGELOG A native desktop browser for Claude Code, Codex, Grok Build, Kimi Code, Pi, Antigravity CLI, and opencode.Read, search, and manage local session transcripts from all seven in one place. Plus a tool management page — round up the skil

ai-codingclaude-codecodexcoding-agentmcpopencodesession-viewertauritranscript-viewervue3

Quick Facts

Stars378
Forks24
LanguageRust
CategoryMCP Server
LicenseMIT
Quality Score70.3725975939489/100
Open Issues1
Last Updated2026-09-17
Created2026-05-20
Platformsclaude-code, cli, codex, mcp, rust
Est. Tokens~24k

Compatible Skills

These tools work well together with cc-sessions-viewer for enhanced workflows:

  • splitrail — semantic(0.24)+complementary+same_lang+similar_pop+shared_platform (59%)
  • cc-switch-web — semantic(0.22)+complementary+same_lang+similar_pop+shared_platform (58%)
  • Lucarne — semantic(0.22)+complementary+same_lang+similar_pop+shared_platform (58%)
  • tokenscope — semantic(0.19)+complementary+same_lang+similar_pop+shared_platform (57%)
  • cursor-bridge — semantic(0.31)+complementary+similar_pop+shared_platform (51%)

cc-sessions-viewer alternative? Top 6 similar tools

Looking for a cc-sessions-viewer alternative? If you're comparing cc-sessions-viewer with other mcp server tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

  • OpenContext by 0xranx · ⭐ 1.2k

    A personal context store for AI agents and assistants—reuse your existing coding agent CLI (Codex/Claude/OpenC

  • memorix by AVIDS2 · ⭐ 825

    Open-source cross-agent memory layer for coding agents via MCP. Compatible with Claude Code, Codex, Cursor, Wi

  • dinotty by xichan96 · ⭐ 714

    Multi-device terminal server for AI coding agents. Server-side VTE, session persistence, file browser, web pre

  • poirot by a7t-ai · ⭐ 216

    A native macOS companion for Claude Code that lets you browse sessions, explore diffs, and re-run commands.

  • happier by happier-dev · ⭐ 1.8k

    Web, Desktop & Mobile client and orchestrator for Codex, Claude Code, OpenCode, Pi, Cursor, Grok, Antigravity,

  • ai-devkit by codeaholicguy · ⭐ 1.6k

    The control plane for AI coding agents.

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Frequently Asked Questions

What is cc-sessions-viewer?

cc-sessions-viewer is support cc/codex/grok build/kimicode/pi/antigravity cli/opencode sessions viewer, skills manage, token usage statistics, global search, resume, and export to html. It is categorized as a MCP Server with 378 GitHub stars.

What programming language is cc-sessions-viewer written in?

cc-sessions-viewer is primarily written in Rust. It covers topics such as ai-coding, claude-code, codex.

How do I install or use cc-sessions-viewer?

You can find installation instructions and usage details in the cc-sessions-viewer GitHub repository at github.com/jerrywu001/cc-sessions-viewer. The project has 378 stars and 24 forks, indicating an active community.

What license does cc-sessions-viewer use?

cc-sessions-viewer is released under the MIT license, making it free to use and modify according to the license terms.

What are the best alternatives to cc-sessions-viewer?

The top alternatives to cc-sessions-viewer on Agent Skills Hub include OpenContext, memorix, dinotty. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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