Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add skills/tternquist/marklogic-mcp/marklogicnpx skills add tternquist/marklogic-mcp --skill marklogicgit clone --depth 1 https://github.com/tternquist/marklogic-mcpWrote 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.
[](https://agentmods.dev/skills/tternquist/marklogic-mcp/marklogic)<a href="https://agentmods.dev/skills/tternquist/marklogic-mcp/marklogic"><img src="https://agentmods.dev/badge/skills/tternquist/marklogic-mcp/marklogic.svg" alt="Measured on agentmods" height="20"></a>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 | $0.00115 | $0.02878 |
| Opus 5 | $0.00057 | $0.01439 |
| Sonnet 5 | $0.00023 | $0.00576 |
| Haiku 4.5 | $0.00012 | $0.00288 |
Grade A, and why
marklogic scanned grade A with 0 findings 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 3d 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.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 198 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 |
— |
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.
- 3d ago First seen · 198 lines · 0 tokens per session scan A 3848dc5a77a2
marklogic is a skill published in the GitHub repository tternquist/marklogic-mcp (3 stars, last pushed 13d ago), licensed MIT. It adds 115 tokens to every session and 2,878 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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