Lossless-Codex-Orchestrator 是 AI Skill Hub 本期精选MCP工具之一。综合评分 8.0 分,整体质量较高。我们强烈推荐将其纳入你的 AI 工具库,帮助提升工作效率。
Lossless-Codex-Orchestrator 是一款遵循 MCP(Model Context Protocol)标准协议的 AI 工具扩展。通过 MCP 协议,它可以让 Claude、Cursor 等主流 AI 客户端直接访问和操作外部工具、数据源和服务,实现 AI 能力的无缝扩展。无论是文件操作、数据库查询还是 API 调用,都可以通过自然语言在 AI 对话中直接触发,极大提升生产效率。
Lossless-Codex-Orchestrator 是一款遵循 MCP(Model Context Protocol)标准协议的 AI 工具扩展。通过 MCP 协议,它可以让 Claude、Cursor 等主流 AI 客户端直接访问和操作外部工具、数据源和服务,实现 AI 能力的无缝扩展。无论是文件操作、数据库查询还是 API 调用,都可以通过自然语言在 AI 对话中直接触发,极大提升生产效率。
# 方式一:通过 Claude Code CLI 一键安装
claude skill install https://github.com/100yenadmin/Lossless-Codex-Orchestrator-LCO
# 方式二:手动配置 claude_desktop_config.json
{
"mcpServers": {
"lossless-codex-orchestrator": {
"command": "npx",
"args": ["-y", "lossless-codex-orchestrator-lco"]
}
}
}
# 配置文件位置
# macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
# Windows: %APPDATA%/Claude/claude_desktop_config.json
# 安装后在 Claude 对话中直接使用 # 示例: 用户: 请帮我用 Lossless-Codex-Orchestrator 执行以下任务... Claude: [自动调用 Lossless-Codex-Orchestrator MCP 工具处理请求] # 查看可用工具列表 # 在 Claude 中输入:"列出所有可用的 MCP 工具"
// claude_desktop_config.json 配置示例
{
"mcpServers": {
"lossless-codex-orchestrator": {
"command": "npx",
"args": ["-y", "lossless-codex-orchestrator-lco"],
"env": {
// "API_KEY": "your-api-key-here"
}
}
}
}
// 保存后重启 Claude Desktop 生效
Give your main agent a memory and command layer for all your Codex projects and threads.
Codex is excellent at doing work. The hard part is managing all the work after you have dozens or hundreds of threads across repos, customer projects, fixes, reviews, and follow-ups.
LCO turns that scattered local Codex history into an operating layer your Hermes agent, MCP client, OpenClaw agent, or custom agent can use. Your agent can find the right project, understand what happened, see what is blocked, prepare the next action, and keep moving without rereading huge transcripts every time.

npm install -g lossless-codex-orchestrator@latest
lco doctor
lco find "billing bridge"
If this helps your main agent stay on top of Codex work, a star helps other agent builders find it. ⭐
Setup · OpenClaw Plugin · Agent Skill · Vision · Privacy · Hermes Boundary · Contributing · AGENTS.md · Security · Code of Conduct · Release Notes · License
Requirements:
~/.codex/sessionsStable install:
npm install -g lossless-codex-orchestrator@latest
lco doctor
lossless-codex-orchestrator is the current published npm package name. The deprecated compat package lossless-openclaw-orchestrator remains maintained for existing automation and points at the same lco CLI and lco-mcp-server. The historical loo, loo-mcp-server, and LOO_* env names remain maintained compatibility aliases for at least two minor releases.
loo index codex "$HOME/.codex/sessions"
loo-mcp-server
Beta train, when you explicitly want the newest prerelease:
npm install -g lossless-codex-orchestrator@beta
Package channels:
- npm latest and GitHub Releases are the stable publication authorities. - A version in the source tree is a candidate until those publication authorities show the same version; merged source alone is not release proof. - latest is the stable public channel. - beta is the active prerelease train. - next is reserved for release candidates. - npm dist-tags and GitHub Releases are the publication authorities; source version metadata, merged code, and local package smoke are not release proof.
If npm shows a version or dist-tag but install fails with a selector cutoff error such as ENOVERSIONS or ETARGET, use the npm selector-drift tarball fallback with raw npm commands a fresh shell can run:
tarball_url="$(npm view lossless-codex-orchestrator@latest dist.tarball)"
test -n "$tarball_url" && npm install -g "$tarball_url"
If the ETARGET message says the requested package version must have a publish date before a specific time, check for a local npm min-release-age or before pin before treating it as registry drift.
Full setup instructions live in docs/SETUP.md.
Find the work you remember. lco find runs a local incremental index pass on first use, then searches titles, metadata, prepared cards, summaries, and event-level content snippets:
lco find "billing bridge proposed plan"
Use JSON when you want the same result shape in scripts or agent harnesses:
lco find --json "billing bridge proposed plan"
For lower-level recall, use lco search for title/session-card discovery and lco grep or lco expand-query for content-oriented recall.
Before preparing a drive plan, ask what changed since a public-safe cursor:
lco session-diff --cursor <cursor>
Build a bounded review-then-drive packet without running live control:
lco drive --dry-run --reviewer codex --driver claude --max-turns 3
When LCM peers are configured, inspect their read-only integrity posture with lco doctor --peers. Claude targeting in 1.6 validates availability and dry-run policy only; it does not provide Claude live control.
Describe a result:
lco describe codex_thread:<thread-id>
Expand a small brief:
lco expand-ref --profile brief --token-budget 1000 codex_thread:<thread-id>
Expand from a query when you do not know the ref yet:
lco expand-query --profile brief --token-budget 1000 "billing bridge"
For an agent or MCP client, start with the normal operator path:
| Step | Tool | What your agent gets |
|---|---|---|
| 1 | lco_find | Fast public-safe session/content matches from the existing index; pass index:true only for an explicit synchronous refresh. |
| 2 | lco_prepared_inbox | The best starting view of work that needs attention. |
| 3 | lco_describe_ref | Details for a selected thread, card, leaf, or source ref. |
| 4 | lco_expand_query | A bounded brief when the exact ref is unknown. |
| 5 | lco_recent_sessions | Recent and active Codex work as compact cards. |
| 6 | lco_attention_inbox | Blocked, waiting, stale, approval-needed, or ready-for-review work. |
| 7 | lco_project_digest | A project-level handoff brief. |
| 8 | lco_codex_control_route | An expiring opaque reference for one daemon-owned Codex task, or an explicit Desktop-observation blocker. |
| 9 | lco_codex_deliver | A dry-run-first delivery that sends when idle or steers the matching active turn. |
Lower-level dry-run, resume, send, steer, and interrupt tools remain explicit workflow-detail fallbacks; they are not extra public-facade steps.
The packaged agent playbook is skills/lossless-openclaw-orchestrator/SKILL.md.
Naming note: LCO is the public product abbreviation. New user-facing examples use lco, lco-mcp-server, and canonical lco_* tools. The historical loo, loo-mcp-server, and loo_* names remain maintained compatibility aliases for at least two minor releases.
高质量的MCP工具,自动化编码辅助和审批
该工具使用 NOASSERTION 协议,商用场景请仔细阅读协议条款,必要时咨询法律意见。
AI Skill Hub 为第三方内容聚合平台,本页面信息基于公开数据整理,不对工具功能和质量作任何法律背书。
建议在沙箱或测试环境中充分验证后,再部署至生产环境,并做好必要的安全评估。
📄 NOASSERTION — 请查阅原始协议条款了解具体使用限制。
经综合评估,Lossless-Codex-Orchestrator 在MCP工具赛道中表现稳健,质量优秀。如果你已有明确的使用需求,可以直接上手体验;如果还在评估阶段,建议对比同类工具后再做决策。
| 原始名称 | Lossless-Codex-Orchestrator-LCO |
| 原始描述 | 开源MCP工具:Index, search, summarize, and approval-gate local Codex sessions through OpenCla。⭐69 · TypeScript |
| Topics | mcpagent-toolsai-agentsai-coding-assistantcodexcodex-clitypescript |
| GitHub | https://github.com/100yenadmin/Lossless-Codex-Orchestrator-LCO |
| License | NOASSERTION |
| 语言 | TypeScript |
收录时间:2026-07-05 · 更新时间:2026-07-05 · License:NOASSERTION · AI Skill Hub 不对第三方内容的准确性作法律背书。
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