marklogic-mcp: Skill for Claude Code

.claude/skills/marklogic-project-setup/SKILL.md

marklogic-project-setup is a skill for Claude Code from tternquist/marklogic-mcp. It costs 0 tokens per session (3,380 once invoked), scanned A, original, MIT.

A project starter for MarkLogic, a database for storing and searching documents and data. It uses ml-gradle to create a deployable project whose files can be tracked and promoted between environments.

In plain words
What is it for?
Use it to create a MarkLogic app, API, service, or repository; add REST endpoints, indexes, transforms, or extensions; and prepare deployments for staging, production, or CI/CD.
Why use it?
It avoids making one-off changes directly in a running database that cannot be easily reviewed, reproduced, or deployed elsewhere. It also helps choose between a simple MarkLogic project and DHF, the data-integration framework for combining and mastering data from multiple systems.

Skill for Claude Code

Written for Claude Code: installed under .claude/. Also seen: $skill-name invocation.

This is tternquist/marklogic-mcp's own configuration. It tells Claude Code how to work on marklogic-mcp itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything marklogic-mcp configures →

Reuse

Borrowing it

Nothing to install: this file belongs to tternquist/marklogic-mcp. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/tternquist/marklogic-mcp/master/.claude/skills/marklogic-project-setup/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/tternquist/marklogic-mcp

Made for: Claude Code.

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README.md
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Per session 0 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,380 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00000 $0.03380
Opus 5.5 $0.00000 $0.01352
Sonnet 5.5 $0.00000 $0.00676
Haiku 4.5 $0.00000 $0.00338

Measured 1mo ago against content hash 85b5e9f8aab9, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

marklogic-project-setup scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

in `gradle.properties` makes every subsequent request (curl tests, module reloads,
.claude/skills/marklogic-project-setup/SKILL.md · 282 lines

How it starts

The opening of the file, as written. The whole thing — 282 lines — stays where its author put it; the contents beside it link to each section on GitHub.

MarkLogic Project Setup (ml-gradle)

When to scaffold instead of using write tools

The MCP write tools (ml_document_put, ml_tde_install, ml_extension_put) change a running database. They leave nothing in source control and nothing to promote to another environment.

Scaffold a project instead when you hear any of:

  • "build me an app / API / service / backend"
  • "create a new project / repo"
  • "set up MarkLogic for…"
  • "add a REST endpoint" / "expose this as an API"
  • "add an index" / "deploy to production" / "promote to staging"
  • "I want this in CI/CD" / "version-controlled" / "multi-environment"
  • any request naming a custom REST extension, transform, or module path

Ad-hoc exploration and one-off queries do not need a project.

First decision: plain ml-gradle or DHF?

Use plain ml-gradle when Use DHF when
custom application, not a data-integration pipeline entity-centric integration from multiple source systems
a single content database staging (raw) and final (mastered) databases needed
you want full control without DHF conventions ingestion → mapping → matching/merging (mastering)
lighter footprint, simpler deploy SmartMastering or Entity Services features required

The template below is plain ml-gradle. For DHF, the dhf_* tools scaffold and run flows; DHF still sits on an ml-gradle project, so most of this skill still applies.

Using the template

templates/ is a complete, deploy-ready ml-gradle tree. Copy it into the target directory and rename:

cp -r templates/ <project-dir>/

Then replace throughout:

Placeholder Replace with
myapp the application name (also in mlAppName, role filenames, TDE schema)
8010 the REST port (mlRestPort)
localhost the target host (mlHost)
admin / admin real credentials — do not commit these

Deploy with:

cd <project-dir>
gradle mlDeploy

Drop any part you don't need — src/main/ml-data, the roles, the REST extension, and the environment overlays are all independent.

Read the full file on GitHub · 282 lines

Files

What ships with it

32 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 1mo ago Changed · +47 lines 85b5e9f8aab9
  2. 2mo ago First seen · 235 lines · 0 tokens per session scan A 2b88817218ab

Subscribe to this mod's changes

marklogic-project-setup is a skill published in the GitHub repository tternquist/marklogic-mcp (4 stars, last pushed 1mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 3,380 tokens. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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