官方说明7 个来源MCP 服务8 天前
Luckycat133/traecnclaw-mcp-skill
Public TRAECNclaw MCP Agent Skill and installable server package bundle.
在 GitHub 查看 ↗直链 · 无中转页
配置模板（请按你的客户端调整）
claude mcp add traecnclaw-mcp-skill -- npx -y traecnclaw-mcp-skill
这是根据仓库名生成的可粘贴骨架，命令行参数与包名请以该项目 README 为准。
- ★ 数取值
- 0 ★ · Luckycat133/traecnclaw-mcp-skill · 取自该仓库的 GitHub 页面 · （2026-10-16 20:00:20 核对）
- 来源明细
- 收录自 punkpeye/awesome-mcp-servers 榜单（我们从中收集的条目之一） · 条目类型：MCP 服务
- 收录与活跃
- 收录于 2026-10-09 · 最近见到 2026-10-16 · 共见到 32 次 · 被 7 个来源列出
- 评分构成
- 综合分 703 · 7 个来源 · mcp
常见问题（答案都来自我们的记录）
怎么安装？
我们【没有】从该仓库取到安装命令（我们的 install 覆盖率只有约 4%）。请看它的 README 或 releases 页。
它适合谁 / 用来做什么？
我们把它归在这些标签下: MCP 服务。标签来自条目自身，不是我们强加的分类。
谁维护它、还在更新吗？
仓库
Luckycat133/traecnclaw-mcp-skill；我们收录于 2026-10-09；最近见到 2026-10-16。这里没有"官方认证"或"质量评级"——我们只记录来源与时间。第三方质量标记
TRAECNclaw MCP Skill
以下摘录自该仓库的 README（片段） · 在 GitHub 读完整 README →
> Generated from canonical TRAECNclaw 0.6.0 at commit 40bcf7707ed9b0ff7938aea8e511d0b87d300705.
TRAECNclaw is a local-first MCP server and Agent Skill for operating the TraeCN
desktop app on the user's Mac. This repository is the public distribution
mirror: it carries the portable Skill, installable server archives, provenance,
and marketplace metadata without publishing the private canonical history.
TRAECNclaw exposes MCP contract version 5 with exactly 20 stable,
single-intent tools. The normal Agent flow is:
1. Open a workspace only when needed.
2. Select model or mode only when needed.
3. Send one message and release the caller context.
4. Legacy MCP clients receive a durable notification; modern 2026-07-28
hosts can negotiate Tasks and subscribe to the exact returned task ID.
Queueing, waiting, recovery, routine non-command questions, task ownership, and
durable completion remain gateway-managed.
The local server uses newline-delimited stdio, implements MCP 2026-07-28, and
remains compatible with initialization-based 2025-11-25 and 2024-11-05
clients. TRAECNclaw contract version 5 is the tool-surface version, not the MCP
protocol revision. The independently negotiated, upstream-draft
io.modelcontextprotocol/tasks extension does not add tools.
Install the server
Install the exact release through one verified channel:
The matching GitHub Release
also provides the complete scoped npm tarball and deterministic MCPB bundle.
The unrelated unscoped traecnclaw@0.3.1 package is historical and is not a
current install path.
Install the Agent Skill
Install from the public GitHub repository with the open Skills CLI:
Or download the matching Skill archive from the GitHub Release. The Skill lives
at .codex/skills/traecnclaw-mcp and includes
assets/mcp-client-config.json, scripts/setup-mcp.js, and the server launcher.
Restart the Agent host after installing or updating the Skill.
Use scripts/setup-mcp.js to validate server discovery and generate the host
entry. The normal runtime is:
The server and gateway run on the same user-owned Mac as TraeCN. Marketplace
containers may inspect the stdio schema, but a cloud container cannot
transparently control the user's local TraeCN desktop.
Prepared Official Registry metadata uses the scoped package
@luckycat133/traecnclaw@0.6.0 with local stdio transport. Smithery Local
uses the matching verified MCPB bundle; the retired smithery.yaml format
remains absent.
Configuration
The gateway defaults are TRAECN_GATEWAY_HOST=127.0.0.1 and
TRAECN_GATEWAY_PORT=8788. Non-loopback binds require
TRAECN_GATEWAY_TOKEN. There is no MCP tool-profile setting.
Discovery channels
The same public repository is the canonical source for Skill and MCP directory
TRAECNclaw is a local-first MCP server and Agent Skill for operating the TraeCN
desktop app on the user's Mac. This repository is the public distribution
mirror: it carries the portable Skill, installable server archives, provenance,
and marketplace metadata without publishing the private canonical history.
TRAECNclaw exposes MCP contract version 5 with exactly 20 stable,
single-intent tools. The normal Agent flow is:
1. Open a workspace only when needed.
2. Select model or mode only when needed.
3. Send one message and release the caller context.
4. Legacy MCP clients receive a durable notification; modern 2026-07-28
hosts can negotiate Tasks and subscribe to the exact returned task ID.
Queueing, waiting, recovery, routine non-command questions, task ownership, and
durable completion remain gateway-managed.
The local server uses newline-delimited stdio, implements MCP 2026-07-28, and
remains compatible with initialization-based 2025-11-25 and 2024-11-05
clients. TRAECNclaw contract version 5 is the tool-surface version, not the MCP
protocol revision. The independently negotiated, upstream-draft
io.modelcontextprotocol/tasks extension does not add tools.
Install the server
Install the exact release through one verified channel:
The matching GitHub Release
also provides the complete scoped npm tarball and deterministic MCPB bundle.
The unrelated unscoped traecnclaw@0.3.1 package is historical and is not a
current install path.
Install the Agent Skill
Install from the public GitHub repository with the open Skills CLI:
Or download the matching Skill archive from the GitHub Release. The Skill lives
at .codex/skills/traecnclaw-mcp and includes
assets/mcp-client-config.json, scripts/setup-mcp.js, and the server launcher.
Restart the Agent host after installing or updating the Skill.
Use scripts/setup-mcp.js to validate server discovery and generate the host
entry. The normal runtime is:
The server and gateway run on the same user-owned Mac as TraeCN. Marketplace
containers may inspect the stdio schema, but a cloud container cannot
transparently control the user's local TraeCN desktop.
Prepared Official Registry metadata uses the scoped package
@luckycat133/traecnclaw@0.6.0 with local stdio transport. Smithery Local
uses the matching verified MCPB bundle; the retired smithery.yaml format
remains absent.
Configuration
The gateway defaults are TRAECN_GATEWAY_HOST=127.0.0.1 and
TRAECN_GATEWAY_PORT=8788. Non-loopback binds require
TRAECN_GATEWAY_TOKEN. There is no MCP tool-profile setting.
Discovery channels
The same public repository is the canonical source for Skill and MCP directory
- 来源
- awesome · https://github.com/Luckycat133/traecnclaw-mcp-skill
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