
Traecnclaw
io.github.Luckycat133由 GitHub 账号 Luckycat133 发布v0.6.0更新于 Oct 24, 2026
Local persistent TraeCN coding-task gateway with a focused MCP Agent surface.
概览
一个本地 MCP 服务器,让助手通过本机网关操作 Mac 上的 TraeCN 桌面编程应用。
- 可以做什么
- 按需打开 TraeCN 工作区,并为会话选择模型或模式。向 TraeCN 发送一条消息后释放调用方上下文,由网关负责排队、等待与恢复。接收持久化的完成通知,或在较新的宿主上协商 Tasks 并订阅返回的任务 ID。通过本地 stdio 提供固定的 20 个单一意图工具。
- 适用场景
- 当你希望 AI 助手把编程任务交给同一台 Mac 上运行的 TraeCN 桌面应用,并在任务完成时收到通知时使用。它不适用于无法访问用户本地桌面的云端或容器宿主。
- 运行要求
- 作为本地进程在 macOS 上与 TraeCN 桌面应用一同运行,通过 npm 包或 Homebrew tap 安装。网关运行在同一台 Mac 上,默认 TRAECN_GATEWAY_HOST 为 127.0.0.1、TRAECN_GATEWAY_PORT 为 8788。绑定非回环地址需要 TRAECN_GATEWAY_TOKEN。安装或更新后需重启代理宿主。
安装
在 SourceWeft 中
- 打开 控制台中的 Traecnclaw,将其添加到工作区。
- 为需要使用其工具的对话启用该服务。
Desktop only,通过 STDIO。 STDIO 服务会启动本地进程,因此需要 SourceWeft 桌面宿主。
其他 MCP 客户端
参照 仓库 中的启动说明。
README
TRAECNclaw MCP Skill
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:
- Open a workspace only when needed.
- Select model or mode only when needed.
- Send one message and release the caller context.
- Legacy MCP clients receive a durable notification; modern
2026-07-28hosts 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 [email protected] package is historical and is not a
current install path.
Homebrew compatibility transition
This repository also carries Formula/traecnclaw.rb, copied byte-for-byte from
the existing public 0.6.0 tap. Luckycat133/homebrew-tap remains available during
the transition. Existing installations do not change automatically. See
migration, checks and rollback before changing a tap
remote. The Skill, source revision and historical release downloads are unchanged.
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/[email protected] 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 submissions. A directory listing is trustworthy only when its version, local stdio transport, macOS requirement, 20-tool count, and generated install command match this Release.
Selected channels include ClawHub, Glama, skills.sh, AwesomeSkills.dev, MCP.Directory, MCPB/Smithery Local, and—after a current public package exists—the Official MCP Registry and PulseMCP. Other directories should reuse the same provenance and install copy rather than maintaining forks.
Glama
glama.json and the generated root Dockerfile support directory registration,
maintainer verification, security/quality scanning, and tool-schema inspection.
The Dockerfile installs the current public Release and never contains a gateway
token or mock bridge.
TRAECNclaw should be listed as a local stdio server. Do not describe a Glama hosted container as an automatic remote connection to the user's Mac.
See SOURCE_REVISION and release-manifest.json for provenance and channel
readiness.
来源:README.md,提交 2407f57
工具
0版本历史
1- v0.6.0最新Sep 16, 2026
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