ai.genomicintelligence/genomic-intelligence

up checked 2026-11-11T07:40:25.710Z

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Publisher-provided title

Genomic Intelligence

Publisher-provided description

Hosted DNA language models: promoter, splice, enhancer, chromatin, expression, annotation

Summary by lookupd

Lets an agent fetch DNA sequences and run hosted models to predict promoters, splice sites, enhancers, chromatin features and gene…

Install

Claude Code, remote (streamable-http)

claude mcp add --transport http genomic-intelligence https://mcp.genomicintelligence.ai/mcp

Codex, remote (streamable-http)

codex mcp add genomic-intelligence --url https://mcp.genomicintelligence.ai/mcp

Cursor, remote (streamable-http) → .cursor/mcp.json

{
  "mcpServers": {
    "genomic-intelligence": {
      "url": "https://mcp.genomicintelligence.ai/mcp"
    }
  }
}

Other clients: docs. Or tell your agent: Set up lookupd for me: read https://lookupd.com/agent.md and follow it.

Tools (15 tools)

Publisher-provided text

list_models List available models for a task. Use to discover model ids before passing one as the `model` argument to a predict tool. The same catalog is a
fetch_ensembl_sequence Fetch a gene's reference sequence from Ensembl and store it. Returns a handle ({ref, name, length, preview, ...}). Pass the `ref` to predict_*
fetch_region Fetch a genomic region by coordinates from Ensembl and store it. For "find the genes in chr8:127,680,000-127,800,000"-style requests: resolves
fetch_gene_for_expression Fetch a gene's sequence prepared for expression prediction. Resolves the gene's canonical-transcript TSS via Ensembl and stores a gene-sense se
load_demo_sequence Load a bundled demo reference sequence and return a handle. The server ships one curated, task-correct positive control per task (list them via
store_inline_sequence Store a human-pasted sequence and return a handle to re-use it. For a sequence you've already pasted into the conversation, this gives back a s
predict_promoter Predict promoter regions (G0). 300–500,000 bp. Returns the {data, meta} envelope: data.regions lists predicted promoters with start/end/score.
predict_splice Predict splice donor/acceptor sites (G0 BigBird). 100–500,000 bp. The model reads a 15,000 bp context window, so anything shorter is scored aga
predict_enhancer Predict enhancer activity (G0 DeepSTARR). 50–500,000 bp. 50 bp is the task's admission floor (the API 422s below it), not a statement about wha
predict_chromatin Chromatin annotation across 919 features (G0 DeepSEA). 200–500,000 bp. The model reads a 1,000 bp context window; 200–999 bp is accepted and sc
predict_expression Predict a gene's expression from the sequence around its TSS. Expression is cell-type-specific, so `description` (cell type / assay context, e.
find_genes Find genes (transcript intervals) in a genomic region (async, ~8-25s). Takes 1,000–500,000 bp. The floor is the strictest of the scanning tasks
find_genes_and_predict_expression Find genes in a sequence, then predict each gene's expression (composite). Server-side chaining in ONE call: finds genes (transcript intervals,
get_job Poll an async job once. Returns the {data, meta} result if complete, a progress envelope if still running, or an error envelope if it failed.
list_jobs List the caller's recent async jobs (also available as gi://jobs/recent).

Details

Version: 1.0.0
Transports: streamable-http
Uptime (7 days): 100%
Median latency: 520 ms
First indexed: 2026-11-01T08:50:15.131Z
Last seen in registry: 2026-11-01T08:50:15.131Z
Website: https://genomicintelligence.ai

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Last crawl: 2026-11-11T15:38:39.561Z
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