mcp-server-mcdev
Enables AI assistants to search sfmc-devtools wiki offline, explain config concepts, walk component checklists, and list metadata types via mcdev.
README
mcp-server-mcdev
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 mcdev package.
Pair with mcp-server-sfmc for AMPscript / SSJS language validation and lookups.
MCP Registry
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.
Tools
| Tool | Purpose |
|---|---|
mcdev_search_docs |
Search bundled sfmc-devtools wiki Markdown |
mcdev_explain_config_key |
Short explanations for config topics (markets, marketList, createDeltaPkg, …) |
mcdev_component_checklist |
Questions + dependent metadata types (journey, automation, …) |
mcdev_list_metadata_types |
Types from Mcdev.explainTypes() (silent JSON mode — safe for MCP stdio) |
read_mcdev_project_config |
Read .mcdevrc.json with credentials stripped (never reads .mcdev-auth.json) |
Connecting AI clients
Register mcp-server-mcdev with the same patterns as other stdio MCP servers (package name in args).
VS Code (1.99+) — .vscode/mcp.json
{
"servers": {
"mcdev": {
"type": "stdio",
"command": "npx",
"args": ["-y", "mcp-server-mcdev@latest"]
}
}
}
Cursor — ~/.cursor/mcp.json or project .cursor/mcp.json
{
"mcpServers": {
"mcdev": {
"command": "npx",
"args": ["-y", "mcp-server-mcdev@latest"]
}
}
}
Claude Desktop
~/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.
Windsurf
~/.codeium/windsurf/mcp_config.json — same mcpServers shape as Cursor.
Global install (faster startup)
npm install -g mcp-server-mcdev
Then use "command": "mcp-server-mcdev", "args": [] (or the binary name from this package’s bin field).
SFMC DevTools VS Code extension
The SFMC DevTools extension documents optional MCP setup for AI-assisted mcdev workflows (see that repo’s README).
Refresh bundled wiki
From this package directory, with the wiki checkout next to the repo (or set SFMC_DEVTOOLS_WIKI):
npm run bundle-wiki
npm run build
License
MIT © Jörn Berkefeld
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.