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@wppes/acm-mcp-server
Advanced tools
MCP server for AEM Content Manager (ACM): lets AI agents validate and run Groovy scripts on AEM.
A Model Context Protocol server that connects AI agents (Claude Code, Claude Desktop, VS Code, Cursor and other MCP clients) to AEM Content Manager (ACM) running on Adobe Experience Manager, including AEM as a Cloud Service.
An agent can validate and run Groovy scripts on AEM through ACM, follow long-running executions, read execution history and console output, and browse the scripts stored on the instance — on any of the configured instances, so it can also compare author against publish or against another environment. Every call runs as the user whose credentials you configure.
graph LR
client["MCP client<br>(Claude, ...)"] <-- "stdio (MCP)" --> server["acm-mcp-server<br>(your machine)"]
server <-- "HTTPS" --> aem["AEM instances + ACM<br>/apps/acm/api/*.json"]
[!WARNING] This server lets an AI agent run arbitrary Groovy code on AEM with your permissions. Read Security before pointing it at a shared or production instance.
[!TIP] Using VS Code? The ACM extension bundles this server and registers it for all enabled instances, with credentials from VS Code's secret storage. No setup below is needed — and ACM: Export MCP Config writes a ready config file for other agents.
history: false) needs ACM 0.9.74 or later.The server is configured by a JSON document using the same keys as the VS Code extension settings, including the acm. prefix — a block copied from settings.json is a valid config:
{
"acm.instances": [
{ "name": "local-author", "url": "http://localhost:4502", "authMode": "basic", "user": "admin" },
{ "name": "local-publish", "url": "http://localhost:4503", "authMode": "basic", "user": "admin" },
{ "name": "dev", "url": "https://author-pXXXX-eYYYY.adobeaemcloud.com", "authMode": "bearer",
"secret": { "env": "ACM_DEV_TOKEN" }, "readonly": true },
{ "name": "prod", "url": "https://author.example.com", "authMode": "cookie",
"secret": { "file": "~/.config/acm/prod.cookie" }, "enabled": false }
],
"acm.activeInstance": "local-author",
"acm.http.timeout": 30000,
"acm.run.timeout": 120000,
"acm.run.pollInterval": 1000
}
The timeout keys are optional; their defaults are shown. Unknown keys are ignored, so a whole settings block can be pasted.
Instance fields:
| Field | Description |
|---|---|
name | Unique name; tools take it as the optional instance argument. |
url | AEM URL, author or publish, e.g. http://localhost:4502. |
authMode | bearer, cookie or basic. |
user | Basic-auth user (required for basic). |
secret | The credential — see Secrets. Omitted for a local admin/admin SDK. |
readonly | true disables the tools that run or abort code on this instance. Recommended for production; see Security. |
enabled | false hides the instance from all tools, e.g. to park prod temporarily (default true). |
Choosing credentials:
authMode | When to use | How to get the secret |
|---|---|---|
bearer | AEM as a Cloud Service (recommended) | Cloud Manager → Developer Console of the environment → Integrations → Local token → "Get Local Development Token". Valid for 24 hours and acts as your user. |
cookie | AEM as a Cloud Service, quick start; any instance you can log into | Value of the login-token cookie (DevTools → Application → Cookies) after logging into AEM. CSRF tokens are handled for you. |
basic | Local AEM SDK, on-premise | Usually admin / admin. |
The login-token cookie expires after about 12 hours; use secret: { "file": "path" } to refresh it without restarting the server.
secret is the bearer token, the login-token cookie (value or name=value) or the basic-auth password, given as:
chmod 600); the server warns when it is not.{ "env": "NAME" } — read from an environment variable of the server process. Nothing is written to the config file.{ "file": "path" } — ~ is expanded and a relative path resolves against the config file. Re-read on every request, so refreshing a token on disk needs no restart. A missing or empty file fails only that instance.Basic auth with user admin on a local URL defaults to password admin, so the local SDK needs no secret at all.
Every MCP client needs the same things. Where they go and in which format depends on the client, so this guide does not list client-specific files:
| Setting | Value |
|---|---|
| Transport | stdio |
| Command | npx |
| Arguments | -y, @wppes/acm-mcp-server |
| Environment | ACM_CONFIG_FILE with the path from step 1 |
Instead of ACM_CONFIG_FILE you can pass the document inline as ACM_CONFIG; it takes precedence over the file.
The easiest way is to ask your agent, which knows its own configuration:
Add the ACM MCP server to this tool's MCP configuration: transport stdio, command
npx, arguments-y @wppes/acm-mcp-server, environmentACM_CONFIG_FILEpointing at a JSON file with the ACM instances I list below. Keep secrets out of that file — reference environment variables or files instead — and never write them into a file that may be committed; tell me where to put the values. Find in this tool's documentation where MCP servers are configured and in which format. Then callacm_list_instancesandacm_healthto verify.
Ask the agent to call acm_list_instances, then acm_health. The first shows every enabled instance with its auth mode and whether credentials are configured; the second reports the state ACM reports for each of them.
Tools act on exactly one instance, chosen like this:
instance argument, when given — it must name an enabled instance;acm.activeInstance, when it names an enabled instance;If acm.activeInstance names an unknown or disabled instance (a typo, say), the server warns on stderr at startup and acm_list_instances repeats the warning, so the agent can tell you; the rules above then apply as if it were unset.
acm_list_instances shows which instance is active and which have credentials. Write tools (acm_run_code, acm_abort_execution, acm_describe_inputs) always act on exactly one instance — there is deliberately no run-everywhere call. To compare instances (e.g. author vs publish drift), run the same read-only code on each and diff the results; the bundled scripting guide covers the pattern. This needs ACM reachable on both sides, which works on local, on-premise and AMS (direct publish URL) — an AEMaaCS publish is not reachable.
| Tool | Description |
|---|---|
acm_list_instances | List the enabled instances: name, URL, auth mode, read-only flag, the active one and whether credentials are configured. |
acm_health | Check connectivity, auth and the instance state ACM reports (/apps/acm/api/state.json), with a warning when ACM's health check finds the instance unhealthy. Without instance, checks every enabled instance. Call it first. |
acm_validate_code | Compile-check Groovy without running it (mode=parse). Returns compile errors with line and column. Never recorded in execution history. |
acm_run_code | Queue Groovy for execution, poll until it finishes or times out, and return the status and full console output. Supports inputs for scripts with describeRun(). With history: false it runs synchronously and is not recorded in history (see below). |
acm_get_execution | Get the status, inputs, error and console output of an execution by ID, whether queued, running or archived. |
acm_abort_execution | Abort a queued or running execution. Scripts that call context.checkAborted() stop cleanly. |
acm_list_executions | List execution history, newest first, optionally only queued and running executions. |
acm_list_scripts | List Groovy scripts stored under /conf/acm/settings/script by type (MANUAL, AUTOMATIC, …). |
acm_get_script | Read the Groovy content of a stored script by ID or path. |
acm_describe_inputs | Resolve the inputs a script declares in describeRun(): names, types and defaults. ACM runs describeRun() to do this, so it counts as running code. |
acm_get_output_file | Download a named execution output: console, or an output created with outputs.file(...) / outputs.text(...). |
Every tool takes an optional instance argument; see Instances for the default.
Bare Groovy snippets are wrapped in the canRun()/doRun() structure automatically, so println "hello" is valid input for acm_validate_code and acm_run_code.
Every queued run is stored in ACM execution history, so iterating on a script quickly fills it up. With history: false, acm_run_code calls /apps/acm/api/execute-code.json directly and the run is not recorded. Such a run:
waitMs, while the script may keep running on AEM.Use it for short read-only runs or dry runs while you develop a script. Run the final version, and anything that changes content, with the default history: true so the change stays auditable.
Running without history needs the console/execute/nohistory ACM feature (administrators only by default); without it the call fails with 403. Such runs still appear in ACM's audit log.
The server ships the ACM Groovy scripting skill, so agents write valid, safe scripts without extra setup:
acm-groovy-script returns the full guide.acm://skill/SKILL.md, acm://skill/references/api.md (every ACM variable, class and method, generated from the ACM source), acm://skill/references/scripts.md and the script templates under acm://skill/templates/.Ask the agent something like:
Use ACM to count how many
wknd/components/teasercomponents are under/content/wknd/us/en.
It calls acm_health, then validates and runs a script such as:
boolean canRun() {
return conditions.always()
}
void doRun() {
def sql = "SELECT * FROM [nt:base] AS n WHERE ISDESCENDANTNODE(n, '/content/wknd/us/en') AND n.[sling:resourceType] = 'wknd/components/teaser'"
def count = 0
repo.queryRaw(sql).forEach { resource ->
context.checkAborted()
count++
}
out.info("Found ${count} instance(s)")
}
ACM checks access at three levels. The user behind the credentials needs jcr:read on each:
/apps/acm/api;/apps/acm/feature;/conf/acm/settings/script.By default only administrators have access. See Tools Access Configuration. A 403 from any tool includes this hint. A 401 means the token or cookie has expired.
readonly. Health, validation, history and script-reading tools keep working; running, describing and aborting code are blocked on that instance. This only stops the agent from calling those tools. It is not a security boundary: validation still compiles the submitted Groovy on AEM, and Groovy compile-time transforms can run code. The real control is the AEM permissions of the configured user. enabled: false hides an instance entirely.canRun()) are written to ACM's audit log with the user and a checksum of the code. Grant console/execute/nohistory only to users who need it.script/execute feature but without console/execute can only run the stored scripts as they are.acm_run_code in your MCP client for those instances.repo.dryRun(...) pattern; the bundled scripting guide steers the model towards it.{ "env" } and { "file" } secret references, or keep literal secrets in a chmod 600 config file — never in files you commit.To build, test and release the server, see the development guide.
Part of AEM Content Manager, licensed under the Apache License, Version 2.0. Provided "as is", without warranty of any kind; use it at your own risk (see sections 7 and 8 of the license).
FAQs
MCP server for AEM Content Manager (ACM): lets AI agents validate and run Groovy scripts on AEM.
The npm package @wppes/acm-mcp-server receives a total of 200 weekly downloads. As such, @wppes/acm-mcp-server popularity was classified as not popular.
We found that @wppes/acm-mcp-server demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 2 open source maintainers collaborating on the project.

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