EVEE MCP Server
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@EVEE MCP Server search for BRCA1 variants and compare their pathogenicity predictions"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
EVEE MCP Server
MCP server for the EVEE (Evo Variant Effect Explorer) API — interpretable variant effect prediction from Evo 2 genomic foundation model embeddings.
EVEE provides pre-computed pathogenicity predictions, disruption profiles, and AI-generated mechanistic interpretations for 4.2 million ClinVar variants. See Pearce et al. (2026) for the full paper.
Tools
Tool | Description |
| Autocomplete-style lookup (≤6 matches) for a gene symbol, rsID, or ClinVar variation ID; useful for finding candidate variant IDs, not an exhaustive gene-wide ranking |
| Clinical summary, EVEE-derived effect outputs, database comparison scores when present, and the AI-generated mechanistic interpretation (auto-triggers on-demand generation when not yet stored) |
| Poll EVEE's on-demand interpretation generation until it completes or times out |
| Side-by-side summary (up to 10 variants in one call) — clinical label, pathogenicity, top-1 disruption, HGVS, deep link |
| Top biological annotation disruptions ranked by magnitude, optionally scoped to a category — explains why a variant is predicted pathogenic or benign |
| Full annotation probe values (325 annotations across 13 categories), optionally filtered by category |
Annotation categories
amino_acid, atacseq, ccre, chipseq, chromhmm, elm, fstack, protein_feature, interpro, genomic_feature, ptm, region, secondary_structure
Related MCP server: gnomAD MCP Server
Skill
A Claude Code skill lives at .claude/skills/evee/SKILL.md. Agents that load it get ~120 lines of guidance on how to use the tools effectively — workflow steps, reliability caveats by variant class, and gotchas (0-based coords, indel VCF anchoring, case-sensitivity).
Usage
Requires Python 3.10+ and uv.
git clone git@github.com:goodfire-ai/evee-mcp.git
cd evee-mcp
uv syncClaude Code
The repo ships a .mcp.json; opening the directory triggers the permission prompt:
claudeClaude Desktop
Add to claude_desktop_config.json:
{
"mcpServers": {
"evee": {
"command": "uv",
"args": ["run", "--directory", "/absolute/path/to/evee-mcp", "python3", "server.py"]
}
}
}Example
Is the FBN1 variant rs1597537935 pathogenic, and why?
The agent searches, fetches the clinical summary with the AI-generated mechanistic interpretation, and pulls out the top disruption evidence.
Available Tools
6 toolscompare_variantsA
Compare multiple variants side-by-side.
Fetches clinical label, pathogenicity score, gene, HGVS protein, consequence, and the top-1 disruption for each. Use when the user asks to contrast, rank, or compare 2+ variants, instead of looping get_variant.
Args: variant_ids: List of variant IDs in chr:pos:ref:alt format (max 10).
Inputs: variant_ids (required).
get_variantA
Get comprehensive information about a specific genetic variant.
Returns clinical significance, model-derived scores from EVEE's heads (aligned to AlphaMissense, CADD, REVEL, SIFT, etc.), reference predictor scores from external databases when present, gene constraint (LOEUF), HGVS notation, disease associations, protein domains, and the AI-generated mechanistic interpretation.
If the stored interpretation isn't ready, this tool hits EVEE's on-demand
/analysis endpoint once: if generation has already completed, the fresh
interpretation is returned inline; otherwise the response carries an
interpretation = {status: queued/processing, detail: ...} entry and you
should call wait_for_variant_analysis to poll until it finishes.
Args: variant_id: Variant identifier in chr:pos:ref:alt format (e.g. "chr17:43092918:G:A" for BRCA1 ClinVar ID 41812). NOTE: EVEE uses 0-based positions; ClinVar/VCF/HGVS are 1-based. Subtract 1 from ClinVar pos for SNVs; for indels the offset varies — prefer search_variants.
Inputs: variant_id (required).
get_variant_annotationsA
Get detailed annotation probe values for a variant.
Returns the Evo 2 model's predicted annotation values for both the reference and alternate allele across 325 biological annotations. Each annotation shows ref (reference allele prediction), alt (alternate allele prediction), and delta (alt - ref).
Use this for deep analysis when you need the full picture — e.g., all chromatin marks across tissues, all amino acid probabilities, or every protein feature prediction. For a quick ranked view of what's most disrupted, use get_variant_disruptions instead.
Args: variant_id: Variant identifier in chr:pos:ref:alt format. category: Optional filter. One of: amino_acid, atacseq, ccre, chipseq, chromhmm, elm, fstack, protein_feature, interpro, genomic_feature, ptm, region, secondary_structure. Omit to get ALL annotations.
Inputs: variant_id (required), category.
get_variant_disruptionsA
Get the top biological annotation disruptions for a variant.
Shows which molecular features are most affected by the variant, ranked by magnitude of change. Each disruption shows what the Evo 2 model predicts for the reference vs. alternate allele across 325 biological annotations spanning protein structure, chromatin state, regulatory elements, splice sites, and more.
This is the key tool for understanding WHY a variant is predicted pathogenic or benign — e.g., a splice-site variant might show large disruptions in splice donor/acceptor annotations, while a missense variant might show disruptions in protein domain and secondary structure annotations.
Categories: amino_acid, atacseq, ccre, chipseq, chromhmm, elm, fstack, protein_feature, interpro, genomic_feature, ptm, region, secondary_structure.
Args: variant_id: Variant identifier in chr:pos:ref:alt format. top_n: Number of top disruptions to return (default 15, max 100). category: Optional category filter — restrict ranking to one category (e.g. to see only splice-related disruptions: category='genomic_feature').
Inputs: variant_id (required), top_n, category.
search_variantsA
Autocomplete-style variant lookup (up to 6 matches) in the EVEE database.
The query must be ONE of these exact types — do NOT combine them or add extra words like "pathogenic":
A gene name: "BRCA1", "TP53", "FBN1"
An rsID: "rs1597537935"
A ClinVar variation ID (numeric): "655979"
Returns at most 6 autocomplete-style matches. Pagination/limit params are ignored by the backend.
WARNING: a gene-name query returns an adjacent-position autocomplete slice of variants in that gene — NOT the top-pathogenicity variants of the gene. Do not infer the gene's pathogenic landscape from these 6 rows. To look up a specific variant, query by rsID or ClinVar variation ID.
Use this as the starting point to find variant IDs for the other tools.
Inputs: query (required). Returns: result
wait_for_variant_analysisA
Poll EVEE's on-demand interpretation until it completes or times out.
Use this when get_variant reports interpretation.status as queued or
processing. Returns the same curated variant summary as get_variant, plus
a wait_status entry with attempts / elapsed_seconds. If the deadline
hits before completion, call this tool again to keep polling.
Args: variant_id: Variant identifier in chr:pos:ref:alt format. timeout_seconds: Maximum wall-clock time to wait (clamped to [1, 60]). poll_interval_seconds: Delay between polls (clamped to [0.5, 10]).
Inputs: variant_id (required), timeout_seconds, poll_interval_seconds.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
Loading tool schema changelog…
TDQS
Scored across 6 tools
Each tool has a clearly distinct purpose: search_variants for lookup, get_variant for comprehensive info, compare_variants for side-by-side comparison, get_variant_annotations for deep probes, get_variant_disruptions for top disruptions, and wait_for_variant_analysis for polling. No overlapping functionality.
All tool names follow the verb_noun pattern in snake_case consistently (e.g., compare_variants, get_variant_annotations). The naming is predictable and easy to understand.
With 6 tools, the server covers the core workflows of variant lookup, detailed retrieval, comparison, annotation analysis, disruption ranking, and async waiting. This is well-scoped for a specialized domain without being too few or too many.
The tool set covers essential operations: search, retrieve, compare, deep annotations, disruptions, and async polling. A minor gap is the lack of a tool to list all variants for a given gene (search_variants only returns up to 6 autocomplete results), but for targeted variant analysis, the surface is sufficiently complete.
Maintenance
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