• ANNOTATION
  • IDENTIFICATION
  • BULK DATA
  • HUMAN

How to predict variant consequences with your AI

Connect Ensembl to your AI client to pull functional annotations for genomic variants. Your agent handles the heavy lifting of querying the Ensembl database.

Ask AI about this page

Short answer

How can I use AI to predict variant consequences?

Your AI uses the Ensembl Connector to query the Variant Effect Predictor (VEP) for specific mutations or genomic coordinates. It returns functional annotations like consequence types and impact scores. You get a clear breakdown of how a mutation affects gene function.

The results you get.

What your AI delivers.

Once you provide a mutation or region, your agent pulls these specific data points.

ANNOTATION

Functional impact data

The AI pulls consequence types and impact scores from Ensembl. You see exactly how a mutation changes a protein or transcript.

IDENTIFICATION

HGVS nomenclature

Your agent converts genomic coordinates into standard HGVS notation. This makes it easy to communicate findings to other researchers.

BULK DATA

Large scale analysis

You can pass lists of variants to the AI. It processes them through Ensembl to provide a structured summary of many mutations at once.

HUMAN

Biological interpretation

The AI provides the raw data and functional scores. You must decide if the predicted impact is clinically or biologically significant.

The workflow

What your AI does when a variant is provided.

The AI acts as a bridge between your natural language requests and the Ensembl database.

  1. Identify the variant

    Your agent takes a genomic coordinate or a mutation string and finds the corresponding Ensembl ID.

    get_vep_id

  2. Convert notation

    If you only have coordinates, the AI translates them into standard HGVS format for precise mapping.

    get_vep_hgvs

  3. Run functional prediction

    The AI sends the variant to the VEP engine to determine the biological consequence.

    get_vep_bulk

  4. Summarize impact

    The agent parses the complex VEP output into a readable summary of the mutation's effect.

    get_vep_bulk

Try it

Copy these to start.

Use these prompts to trigger Ensembl queries immediately.

Starting points

Swap out the bracketed text with your actual genomic coordinates or HGVS strings.

Ensembl Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_m0hayIErvjxLYR70lCwlpWpppEzV8unFkuPlELTW/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — Ensembl capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "ensembl-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_m0hayIErvjxLYR70lCwlpWpppEzV8unFkuPlELTW/mcp"
    }
  }
}
Copy into chat04

  • Predict the consequence for the variant [chr1:1234567] using Ensembl.

  • Convert this genomic position [chr17:7673764] to HGVS notation.

  • Run a bulk VEP query for these variants: [variant1, variant2, variant3].

  • What is the functional impact of the mutation [NM_000123.4:c.456G>A]?

  • Claude
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  • JetBrains
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Start here

Connect Ensembl once, then ask.

Connect your Ensembl MCP to your preferred client. Your credentials stay encrypted, and you can start querying immediately.

Connect Ensembl to your AI

FAQ

How the Ensembl Connector behaves

  • 01

    Can the AI change the data in Ensembl?

    No. The AI can only read data from Ensembl to provide annotations. It cannot modify the Ensembl database.

  • 02

    Can the AI perform custom protein folding simulations?

    No. The AI is limited to the functional predictions provided by the VEP tools in the Ensembl manifest.

  • 03

    Does the AI handle large VCF files?

    The AI can process lists of variants through the bulk tool, but it does not act as a standalone VCF file parser.

  • 04

    Will the AI decide if a mutation is pathogenic?

    No. The AI provides the predicted consequence and impact scores. The final clinical interpretation is always your responsibility.

  • 05

    Can I use this with any AI client?

    Yes, as long as your client supports the Model Context Protocol (MCP).

  • More questions about Ensembl? See everything the Ensembl Connector can do

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