接入你的智能体
發布者自己的指令。不是 PlugMCP 端點。
用我們的金鑰與日誌託管一份副本。
npx -y [email protected]Claude Code 沒有本機指令的安裝連結。複製下方指令並在終端機中執行。
claude mcp add io.github.joernberkefeld-mcp-server-mcdev -- npx -y mcp-server-mcdev@2.0.0在終端機中執行。
{ "mcpServers": { "io.github.joernberkefeld-mcp-server-mcdev": { "command": "npx", "args": [ "-y", "[email protected]" ] } }}claude_desktop_config.json
遠端 URL 還是本機指令？ 兩種安裝方式的差異
來自發布者
MCP (Model Context Protocol) server for Accenture SFMC DevTools (mcdev): search the project wiki offline, learn .mcdevrc.json concepts (markets, marketList, createDeltaPkg, validations), walk component checklists (e.g. journeys), and list metadata types via the installed package.
Native mcdev through AI: retrieve, build, deploy, command discovery and offline docs.
mcdevPair with mcp-server-sfmc for AMPscript / SSJS language validation and lookups.
Node.js ^22.22.2 || >=24.15.0 is required. This server uses the npm mcdev 10.1.0 release line; no separate global mcdev installation is required.
Registered as io.github.JoernBerkefeld/mcp-server-mcdev (quickstart). Registry hosts metadata only; the server runs locally via stdio.
Verify after publish:
curl "https://registry.modelcontextprotocol.io/v0.1/servers?search=io.github.JoernBerkefeld/mcp-server-mcdev"
CI publishes npm artifacts and registry metadata using GitHub OIDC (Actions doc) — see .github/workflows/npm-publish.yml.
Register mcp-server-mcdev with the same patterns as other stdio MCP servers (package name in args).
.vscode/mcp.json{
"servers": {
"mcdev": {
"type": "stdio",
"command": "npx",
"args": ["-y", "mcp-server-mcdev@latest"]
}
}
}
~/.cursor/mcp.json or project .cursor/mcp.json{
"mcpServers": {
"mcdev": {
"command": "npx",
"args": ["-y", "mcp-server-mcdev@latest"]
}
}
}
~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows) — use the same mcpServers object shape as Cursor.
~/.codeium/windsurf/mcp_config.json — same mcpServers shape as Cursor.
npm install -g mcp-server-mcdev
Then use "command": "mcp-server-mcdev", "args": [] (or the binary name from this package’s bin field).
The SFMC DevTools extension documents optional MCP setup for AI-assisted mcdev workflows (see that repo’s README).
Ordinary npm run bundle-wiki, builds, hooks and prepublish reuse the committed bundled/wiki without reading a sibling checkout. To deliberately refresh from the sibling ../sfmc-devtools.wiki checkout:
npm run bundle-wiki -- --refresh
For a reviewed or frozen source directory, set SFMC_DEVTOOLS_WIKI instead. Keep it set for subsequent builds, hooks and prepublish so every bundler invocation uses that same source:
export SFMC_DEVTOOLS_WIKI=/absolute/path/to/reviewed-wiki
npm run bundle-wiki
npm run build
In PowerShell, use $env:SFMC_DEVTOOLS_WIKI = 'F:\path\to\reviewed-wiki'. A missing or empty explicitly selected source fails rather than silently falling back to another checkout.
The bundled baseline is the mcdev 10.1.0 wiki commit d0f315d6a826fe7068494e2e46e8021e26ce0915 (a commit, not a wiki tag). Four pages retain explicitly pending/unreleased extension-bundled CLI and optional-Git annotations: Getting Started, Updating mcdev, Admin Commands, and Git-based deployments and CI/CD. These annotations are not claims that those features shipped with mcdev 10.1.0. Preserve or reconcile them explicitly when refreshing; copying the released wiki alone would discard them.
MIT © Jörn Berkefeld
Native mcdev through AI: retrieve, build, deploy, command discovery and offline docs.
{ "mcpServers": { "io.github.joernberkefeld-mcp-server-mcdev": { "command": "npx", "args": [ "-y", "[email protected]" ] } }}工具
尚無工具清單。遠端伺服器會在首次健康檢查後取得工具清單。
常見問題
在本頁複製適用於 Cursor、Claude Desktop、Claude Code 或 VS Code 的 stdio 設定。它使用發布者的安裝方式，而不是 PlugMCP 代理伺服器。
這筆記錄未列出必要的環境變數。
MCP Server Mcdev 透過 stdio 在本機執行。
上次檢查時間：2026-11-09。 Native mcdev through AI: retrieve, build, deploy, command discovery and offline docs.