TRAECNclaw MCP
This server lets an agent operate the TraeCN desktop app on a Mac: submitting and tracking coding tasks, managing workspace, model/mode, settings, conversations, and handling interactive prompts.
Submit and manage tasks: Send a message to TraeCN as durable background work, get a stable task ID, retrieve task status/results (including trace), and cancel tasks.
Control workspace and generation: Open a local folder as the active workspace; stop visible generation in a conversation (with safety acknowledgment).
Manage model and mode: List and select AI models; switch between Solo and IDE modes.
Adjust settings: Discover settings sections and items, list dropdown options, then toggle toggles, select options, or enter text.
Handle conversations: List, create, select, and permanently delete conversations (with required title/acknowledgment for deletion).
Resolve interactive prompts: Answer exceptional questions from TraeCN and approve/deny unsafe command cards (with audit reasons and risk acknowledgment).
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:
npm install --global @luckycat133/traecnclaw@0.6.0
# or, after `brew info` reports 0.6.0
brew install Luckycat133/tap/traecnclawThe 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.
Related MCP server: WinScript
Install the Agent Skill
Install from the public GitHub repository with the open Skills CLI:
npx skills add https://github.com/Luckycat133/traecnclaw-mcp-skill \
--skill traecnclaw-mcp \
-gOr 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:
Agent host -> local stdio server -> gateway on the same Mac -> TraeCNThe 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 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.
Maintenance
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