Data & AI
ncats-arax - Claude MCP Skill
Queries the NCATS Translator ARAX production API for bounded, typed, provenance-rich one-hop and endpoint-pinned two-hop biomedical knowledge-graph relationships. Use for Biolink-constrained RTX-KG2 lookup, explicit selected-provider ARAX federation, separate entity normalization, qualifier-aware graph traversal, and inspection of TRAPI edge bindings, publications, and knowledge-source provenance. Do not use for inference, ranking, open-ended pathfinding, clinical guidance, or sensitive queries.
SEO Guide: Enhance your AI agent with the ncats-arax tool. This Model Context Protocol (MCP) server allows Claude Desktop and other LLMs to queries the ncats translator arax production api for bounded, typed, provenance-rich one-hop and end... Download and configure this skill to unlock new capabilities for your AI workflow.
Documentation
SKILL.md# NCATS ARAX Use ARAX as a constrained knowledge-graph lookup service. Submit reviewed CURIEs and explicit Biolink types, preserve the exact TRAPI exchange, inspect query-edge bindings and provenance, and treat every returned path as a candidate for subsequent verification. Read [query-contract.md](references/query-contract.md) before constructing a query. Read [output-schema.md](references/output-schema.md) when interpreting saved artifacts, warnings, provenance, or partial results. ## Safety boundary - Use only public, nonsensitive research questions. ARAX status facilities may expose query and caller metadata even when `store=false` is requested. - Do not submit patient information, confidential research questions, unpublished compound programs, or proprietary target hypotheses. - Do not present a returned path as a validated mechanism or clinical recommendation. - Report a zero as "not returned under these constraints," never as evidence that no relationship exists. - Describe position as unscored response order, never rank. - Verify important candidates with literature and authoritative databases separately. ## Workflow 1. Normalize free text separately, then review and report the proposed CURIE and category. 2. Choose a typed one-hop query or an exactly two-hop query with both endpoints pinned. 3. Use default RTX-KG2 lookup unless the user explicitly names two to five providers. 4. Acknowledge that the biomedical query is public and choose a new or empty output directory. 5. Run the client once. Do not silently change provider selection or expansion order after a failure or empty result. 6. Inspect `summary.json` for bounded bindings and provenance and `response.json` for the exact TRAPI payload. 7. Verify scientifically important paths outside ARAX. ## Preflight Check the production OpenAPI without making a biomedical query: ```bash python skills/ncats-arax/scripts/arax_client.py preflight ``` The client verifies that the service identifies itself as ARAX, exposes `/query`, and reports a supported TRAPI version. A nonproduction endpoint or untested TRAPI series requires an explicit override; neither override changes the fixed query shapes or operations. ## Normalize an entity Normalization is review-only and never triggers a graph query: ```bash python skills/ncats-arax/scripts/arax_client.py normalize "primary myelofibrosis" \ --expected-category biolink:Disease \ --max-synonyms 10 \ --acknowledge-public-query \ --output-dir outputs/normalize-myelofibrosis ``` Review the canonical identifier, name, category, and synonym preview before using a CURIE. Report all CURIEs and categories regardless of query outcome. A category warning or zero result is a reason to curate the identifier, not to chain automatically to `/query`. ## One-hop lookup Pin at least one endpoint and type both nodes: ```bash python skills/ncats-arax/scripts/arax_client.py one-hop \ --subject-id CHEBI:31690 \ --subject-category biolink:SmallMolecule \ --predicate biolink:affects \ --object-id NCBIGene:25 \ --object-category biolink:Gene \ --qualifier biolink:object_aspect_qualifier=activity_or_abundance \ --qualifier biolink:object_direction_qualifier=decreased \ --acknowledge-public-query \ --output-dir outputs/imatinib-abl1 ``` Lookup mode is the default and fixes expansion to `infores:rtx-kg2`. It defaults to 20 results. Use `--result-limit N` to request 1-50 results; 50 is the hard cap in either mode. ## Endpoint-pinned two-hop lookup Use exactly one typed, unpinned intermediate node: ```bash python skills/ncats-arax/scripts/arax_client.py two-hop \ --subject-id CHEBI:66901 \ --subject-category biolink:SmallMolecule \ --predicate-1 biolink:affects \ --intermediate-category biolink:Gene \ --predicate-2 biolink:associated_with \ --object-id MONDO:0009061 \ --object-category biolink:Disease \ --qualifier-1 biolink:object_aspect_qualifier=activity_or_abundance \ --qualifier-1 biolink:object_direction_qualifier=increased \ --expand-order right-first \ --acknowledge-public-query \ --output-dir outputs/ivacaftor-cystic-fibrosis ``` Right-first expansion is the default. If an empty result merits another attempt, run a new query explicitly with `--expand-order left-first` and keep the runs separate. ## Selected-provider federation Federation is explicit and accepts two to five named providers: ```bash python skills/ncats-arax/scripts/arax_client.py one-hop \ --subject-id CHEBI:31690 \ --subject-category biolink:SmallMolecule \ --predicate biolink:affects \ --object-id NCBIGene:25 \ --object-category biolink:Gene \ --mode federated \ --kp infores:rtx-kg2 \ --kp infores:molepro \ --acknowledge-public-query \ --output-dir outputs/federated-imatinib-abl1 ``` Federation defaults to the hard maximum of 50 results. Provider errors may coexist with useful results; such a run exits 7 after retaining its artifacts and is marked partial. ## Inspect saved provenance Rebuild a bounded summary without network access: ```bash python skills/ncats-arax/scripts/arax_client.py summarize \ --request outputs/ivacaftor-cystic-fibrosis/request.json \ --response outputs/ivacaftor-cystic-fibrosis/response.json \ --format text ``` The inspector accepts only the same constrained request shapes and fixed operations that the live commands generate. Use `--format json` for the normalized view on standard output. ## Interpret results - Follow each analysis's query-edge bindings; do not summarize every knowledge-graph edge. - Preserve the physical edge subject, predicate, object, and qualifier values returned by ARAX. Returned predicates or qualifier aspects may be more specific than the query constraint. - Inspect all source objects, including primary, aggregator, supporting-data, upstream-resource, and source-record URL fields. - Treat `publication_availability: not_returned` as missing metadata, not evidence that no publications exist. - Treat missing auxiliary-graph references and provider failures as explicit warnings. - Consult the raw response whenever the bounded summary omits detail or the service response is partial, unfamiliar, or scientifically surprising. ## Deliberate exclusions The client has no raw-query, workflow, operation, overlay, ranking, inference, link-prediction, Pathfinder, ARS, batch, all-provider, three-hop, cache, daemon, SDK, MCP, or natural-language-to-TRAPI surface. Do not work around those limits with direct HTTP calls under this skill. ## Official references - [ARAX documentation](https://ncatstranslator.github.io/TranslatorTechnicalDocumentation/architecture/ara/arax/) - [ARAX production OpenAPI](https://arax.transltr.io/api/arax/v1.4/openapi.json) - [ARAXi operation documentation](https://github.com/RTXteam/RTX/blob/master/code/ARAX/Documentation/DSL_Documentation.md) - [Translator Reasoner API](https://github.com/NCATSTranslator/ReasonerAPI) - [Biolink Model](https://biolink.github.io/biolink-model/)
Signals
Information
- Repository
- K-Dense-AI/claude-scientific-skills
- Author
- K-Dense-AI
- Last Sync
- 9/5/2026
- Repo Updated
- 9/5/2026
- Created
- 8/10/2026
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