askWheat

Ask questions about wheat data in plain language with an AI assistant. ← Back to search

askWheat, part of the International Wheat Information System (WheatIS), runs a public MCP server (Model Context Protocol). Connect it to an AI assistant such as Claude and the assistant can search askWheat, convert gene IDs between RefSeq versions, place markers on the genome, find germplasm and search the literature, citing the source database for every answer. It is free, read-only and needs no account.

1 Get Claude (free)

  1. Create a free account at claude.ai.
  2. Use Claude in your web browser, or install the desktop app for macOS or Windows from claude.ai/download.

The free plan allows one custom connector, which is all askWheat needs. Free accounts have usage limits; paid plans give more.

2 Add the askWheat connector

https://askwheat.wheatis.org/mcp
  1. In Claude, open Customize → Connectors.
  2. Click + Add, then Add custom connector.
  3. Name: askWheat. Remote MCP server URL: the address above. Click Continue.
  4. Under Authentication choose No sign in, then click Add.

Claude Team or Enterprise: an organisation Owner adds it once under Organization settings → Connectors → Add → Custom → Web (same name and URL, no sign in). Members then find askWheat under Customize → Connectors and click Connect.

3 Turn it on in a chat

Start a new chat, click + (lower left) → Connectors, and switch askWheat on. Then ask a question. Claude will ask permission the first time it uses an askWheat tool.

4 Example questions

Click a question to copy it, then paste it into Claude.

Genes and IDs

Regions and markers

Germplasm

Presence/absence in the Watkins landraces

Watkins phenotypes

SNP genotypes (CropSNPdb)

Gene expression (Expression Atlas)

Literature

Discovery

Tips

Other AI tools

Any MCP client that supports remote servers (streamable HTTP) can use the same URL. For Claude Code:

claude mcp add --transport http askwheat https://askwheat.wheatis.org/mcp

Available tools

ToolWhat it does
search_dataFull-text search across all resources, with filters by database, data type and species
resolve_geneGene symbol or IWGSC ID → all RefSeq versions, coordinates, Watkins presence, links
gene_functionInterPro, Pfam and GO annotation (IWGSC RefSeq v2.1)
genes_in_regionGenes in a chromosome interval (v1.0 or v2.1 coordinates, max 20 Mb)
find_markeriSelect 90K/80K/9K, Axiom 35K, KASP, DArT and SSR marker positions on RefSeq v2.1, with nearby genes
find_germplasmCultivars, lines and accessions in CropSNPdb and the Watkins pangenome
watkins_gene_presencePresence/absence of a gene across the Watkins pangenome, by ancestral group, continent and growth habit
watkins_gene_accessionsAccessions that carry or lack a gene, with filters and Seedstor links
watkins_compare_groupsGenes whose presence differs most between two accession groups (e.g. AG3 vs Modern)
watkins_find_genesPangenome genes by UniProt name, gene name or protein family
watkins_accessionOne accession's metadata and presence of listed genes
watkins_phenotypesTrial phenotypes of Watkins accessions (heading, height, grain traits, disease scores)
watkins_gene_traitTrait values of accessions with vs without a gene, per trial
watkins_populationsParagon x Watkins RIL populations: Watkins parent, size, seed codes, trials
watkins_population_phenotypesTrial phenotypes of RILs and TK-NILs (line means per trial)
watkins_trait_genesVariable genes that differ in presence between high- and low-trait landraces in a trial
watkins_nil_genesGenes in a NIL's Watkins introgression, with donor presence/absence
snp_linesSNP-genotyped lines in CropSNPdb (40K AGG wheat or 90K) by name or accession
snp_genotypesGenotype calls for named lines in a chromosome region
snp_compare_linesIdentity between two lines and the regions where they differ
snp_haplotype_carriersLines sharing a reference line's haplotype in a region (max 5 Mb)
snp_markersSNP array markers and positions in a region
snp_phenotypesTrial trait records for genotyped lines, by line or trait
gene_expressionWhere a gene is expressed (TPM by tissue/stage) and the treatments that change it, from Expression Atlas
expression_genesTissue-specific or treatment-responsive genes in one Expression Atlas experiment
expression_experimentsBread wheat RNA-seq experiments held, with tissues/stages and contrasts
search_literaturePublications and preprints in Europe PMC, restricted to wheat, with gene-synonym expansion and year, open-access and citation sorting
get_paperAbstract and full-text links for a DOI, PMID or PMCID
data_sourcesThe databases behind askWheat and their record counts

Your questions are processed by the AI provider you use. askWheat receives only the tool requests the assistant makes and keeps standard web server logs. There is no login and no cost.

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