A decision guide for working with MarkLogic, a database for documents, search, analytics, and linked data. It maps a task to the relevant MarkLogic approach and tools.

Use it to choose methods for importing documents, searching, filtering, aggregating data, working with time series, graphs, or similarity search.

It helps avoid choosing the wrong database operation, which can waste requests and produce poorer results.

How tternquist/marklogic-mcp configures Claude Code

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/SKILL.md

Clone the repo

git clone --depth 1 https://github.com/tternquist/marklogic-mcp

Made for: Claude Code.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

README.md

[![agentmods](https://agentmods.dev/badge/skills/tternquist/marklogic-mcp/marklogic/github.svg)](https://agentmods.dev/skills/tternquist/marklogic-mcp/marklogic)

Your own site

<a href="https://agentmods.dev/skills/tternquist/marklogic-mcp/marklogic"><img src="https://agentmods.dev/badge/skills/tternquist/marklogic-mcp/marklogic/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

Your own site · 80×15

<a href="https://agentmods.dev/skills/tternquist/marklogic-mcp/marklogic"><img src="https://agentmods.dev/badge/skills/tternquist/marklogic-mcp/marklogic.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 0 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 2,411 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.

Model	Per session	Once invoked
Fable 5.1	$0.00000	$0.02411
Opus 5.5	$0.00000	$0.00964
Sonnet 5.5	$0.00000	$0.00482
Haiku 4.5	$0.00000	$0.00241

Measured 1mo ago against content hash b51b10674902, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

marklogic 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.

`curl` against `/v1/search` — raw REST forfeits the error mapping and the guidance

.claude/skills/marklogic/SKILL.md · 159 lines

How it starts

The opening of the file, as written. The whole thing — 159 lines — stays where its author put it; the contents beside it link to each section on GitHub.

MarkLogic — problem → capability router

Identify the MarkLogic-native approach before reaching for a tool. Picking the wrong one wastes round-trips and produces worse results.

Problem → approach → tools

Problem	Native approach	Primary tools	Discover first
Bulk load / URL / file / JDBC	Flux pipeline	`flux_import`	`flux_status`
A few documents	REST document API	`ml_document_put`, `ml_document_patch`	—
Full-text search	Universal index	`ml_search`, `ml_search_qbe`, `ml_suggest`	`ml_collections_list`, `ml_schema_discover`
Exact-value filter	Value index (on by default)	`ml_search` + `structured_query`	`ml_schema_discover`
Distinct values / counts / buckets	Range index / Values API	`ml_values_query`, `ml_facets_query`	`ml_indexes_list`
GROUP BY, joins, aggregates	Optic over TDE views	`ml_optic_query`, `ml_aggregate_query`	`ml_schema_get_tde`, `ml_views_list`
Time series	Optic + date range index	`ml_timeseries_query`	`ml_indexes_list`
Graph / relationships	Triple store	`ml_sparql_query`, `ml_graphs_list`	`ml_graphs_list`
Semantic / RAG similarity	Vector index (ML 12+)	`ml_vector_search`	`ml_indexes_list`
One-shot NL question	Question parser + projection	`ml_answer_query`	`ml_collections_list`
NL → query pipeline	grammar → parse → execute	`ml_search_surface`, `ml_parse_query`, `ml_search`	`ml_search_surface` first
Classify / auto-tag content	Semaphore CLS + KMM	`semaphore_classify`, `flux_import(classify_with_semaphore)`	`semaphore_status`
Install a TDE template	Schemas database	`ml_tde_install`, `ml_tde_validate`	`ml_schema_get_tde`
Bulk server-side transform	Flux reprocess	`flux_reprocess`	—
Export data out	Flux export	`flux_export`, `ml_export_tabular`	—
Slow query	Index + plan analysis	`ml_explain_optic`, `ml_search_query_plan`, `ml_profile_query`	`ml_indexes_list`
Custom HTTP endpoint	REST resource extension	`ml_extension_put`, `ml_extension_call`	`ml_extension_list`
Reshape docs on read/write	REST transform (CTF)	`ml_extension_put`, ml-gradle `transforms/`	`ml_extension_list`
Cluster / database admin	Manage API	`ml_databases_list`, `ml_servers_list`, `ml_cluster_status`	—
Users / roles / permissions	Security API	`ml_users_list`, `ml_roles_list`, `ml_document_permissions`	—

Read the full file on GitHub · 159 lines

Files

What ships with it

1 file 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.

references/tool-index.md 3.1 KB

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.

1mo ago Changed · -39 lines b51b10674902
2mo ago First seen · 198 lines · 0 tokens per session scan A 3848dc5a77a2

Subscribe to this mod's changes

marklogic 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 2,411 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.

Databases

marklogic next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
marklogictternquist/marklogic-mcp	Skill	4	1mo ago	MIT	A	0	Claude Code
create-prprisma/orm	Skill	48k	yesterday	Apache-2.0	A	48	Claude Code, Codex
schema-explorationlangchain-ai/deepagents	Skill	31k	yesterday	MIT	A	57	Claude Code, Codex
atlas-mssqlariga/atlas	Skill	8.8k	yesterday	Apache-2.0	A	163	Claude Code
ha-data-storesshiwenwen/hope-agent	Skill	1.9k	yesterday	MIT	A	115	Claude Code, Codex
nornicdb-cypher-queriesorneryd/NornicDB	Skill	923	yesterday	MIT	A	79	Claude Code, Codex
volcengine-rds-postgresqlbytedance/agentkit-samples	Skill	484	today	Apache-2.0	A	63	Claude Code, Codex

marklogic-mcp: Skill for Claude Code