npm @cyanheads/gnomad-genetics-mcp-serverstreamable-httpupdated 8d ago
@cyanheads/gnomad-genetics-mcp-server Look up variant allele frequencies by ancestry, gene loss-of-function constraint, gene variant lists, and sequencing coverage over gnomAD — with ClinVar significance joined in — via MCP. STDIO or Streamable HTTP. 7 Tools (+1 opt-in) • 2 Resources • 1 Prompt
What can you do with gnomad genetics mcp server?
Public Hosted Server: https://gnomad-genetics.caseyjhand.com/mcp
Tools
Five gnomAD tools, plus three for SQL analytics over the DuckDB-backed canvas tables the list tools materialize:
| Tool | Description |
|---|---|
gnomad_get_variant |
Full population record for one or more variants — AC/AN/AF overall and per genetic-ancestry group, homozygote/hemizygote counts, quality flags, transcript consequence, in-silico predictors, and joined ClinVar significance. Batch up to 25 IDs with per-item partial success. |
gnomad_get_gene_constraint |
Gene loss-of-function constraint — pLI, LOEUF (oe_lof_upper) with CI, observed/expected ratios, and Z-scores. By HGNC symbol or Ensembl gene ID. |
gnomad_list_gene_variants |
Every variant in a gene, transcript, or region with allele frequencies and predicted consequences, filterable by consequence class and max AF. Spills to the gene_variants canvas table. |
gnomad_get_coverage |
Sequencing coverage across a gene, transcript, or region — mean/median depth and the fraction of samples over depth thresholds, per callset track. Tells a true absent variant from an uncallable position. |
gnomad_search_clinvar |
Gene-level ClinVar detail via NCBI E-utilities — classified variants, review status (star rating), conditions, and submission counts. Spills to the clinvar_variants canvas table. |
gnomad_dataframe_query |
Run a read-only SQL SELECT across canvas tables staged by the list tools. |
gnomad_dataframe_describe |
List the tables staged on a canvas and their columns before writing SQL. |
gnomad_dataframe_drop |
Drop a named table from a canvas to reclaim memory. Opt-in via GNOMAD_DATAFRAME_DROP_ENABLED=true — off by default since per-table TTL already handles cleanup. |
gnomad_get_variant
The "how common, is it benign" answer in one call.
- Batch up to 25 IDs per call, each a
chrom-pos-ref-altvariantId (e.g.1-55051215-G-GA) or an rsID (e.g.rs11591147) - Per-item partial success — a malformed or absent ID lands in
failed[]without failing the others - Per-ancestry frequency vector is returned in full, never collapsed to a single global AF
- Reports which callset(s) (
exome/genome) carry the variant, quality flags, transcript consequence, in-silico predictor scores, and the ClinVar significance gnomAD joins per variant - An empty
found[]for a well-formed ID means the variant is not in the chosen dataset — pair withgnomad_get_coverageto confirm the position is callable before concluding true absence
gnomad_get_gene_constraint
The orthogonal axis to allele frequency — a loss-of-function variant matters far more in a gene intolerant to being broken.
- Accepts an HGNC symbol (
PCSK9) or an Ensembl gene ID (ENSG00000169174) - Returns pLI (>0.9 intolerant), LOEUF /
oe_lof_upper(<0.6 intolerant in v4, <0.35 in v2) with its lower bound, observed/expected ratios for LoF / missense / synonymous, and the three Z-scores - Many genes have null constraint (sparse upstream) — null fields are reported as such, never fabricated
constraint_flagssurfaces v4 beta caveats flagged by the gnomAD team
gnomad_list_gene_variants
List variants across a gene, transcript, or region, then SQL the full set.
- Supply exactly one of
gene,transcript_id, orregion(chrom-start-stop, 1-based inclusive) - Optional filters: one
consequence_class(lof/missense/synonymous/other) and/or a maximum allele frequency - The full result is staged on a DataCanvas table named
gene_variantswith an inline preview returned alongsidecanvas_idandtable_name— query it withgnomad_dataframe_queryto rank by AF, count by consequence, or group across the complete set - Reusing a
canvas_idREPLACES the staged table; it does not append - When the canvas is disabled (
CANVAS_PROVIDER_TYPE!=duckdb) the tool returns a capped inline preview withspilled=falseand the SQL path is unavailable
gnomad_get_coverage
Disambiguate a true absent variant from an uncallable position.
- Supply exactly one of
gene,transcript_id, orregion - Returns mean and median read depth plus the mean fraction of samples covered at each threshold (1× through 100×), summarized per callset track
coverage_sourcenarrows to one track (exome/genome); omit to return every available track- A variant missing from a well-covered region is informative; one missing from a poorly-covered region is not
gnomad_search_clinvar
Gene-panel curation depth beyond the per-variant ClinVar join, via NCBI E-utilities.
- Returns a gene's classified ClinVar variants — clinical significance, review status with a 0–4 star rating, associated conditions, molecular consequences, and submission counts
- Optional filters:
clinical_significance(e.g.pathogenic) and a minimum star rating (min_review_stars, 0–4) - The full set is staged on the
clinvar_variantscanvas table with an inline preview; reusing acanvas_idREPLACES that table - Keyless, but honors
NCBI_API_KEYfor a higher rate limit (10 vs 3 req/s)
Canvas dataframe tools
gnomad_dataframe_query, gnomad_dataframe_describe, and gnomad_dataframe_drop operate on the canvas tables the list tools stage.
gnomad_dataframe_queryruns single-statementSELECTs only — writes, DDL, and file/HTTP table functions are rejected by the canvas gategnomad_dataframe_describereturns each staged table's name, row count, and column schema — call it before writing SQLgnomad_dataframe_dropis a deliberate mutation (readOnlyHint: false); it stays absent fromtools/listunlessGNOMAD_DATAFRAME_DROP_ENABLED=true- All three require
CANVAS_PROVIDER_TYPE=duckdb; without it they return acanvas_disablederror
Resources and prompts
| Type | Name | Description |
|---|---|---|
| Resource | gnomad://variant/{dataset}/{variantId} |
Population record for one variant — mirrors gnomad_get_variant. The dataset segment keeps the URI self-describing. |
| Resource | gnomad://gene/{dataset}/{gene}/constraint |
Gene loss-of-function constraint — mirrors gnomad_get_gene_constraint. |
| Prompt | gnomad_variant_triage |
Guided rare-disease variant-triage workflow: population frequency → gene constraint → callability check, in order. |
All resource data is also reachable via tools. The list tools (gnomad_list_gene_variants, gnomad_get_coverage, gnomad_search_clinvar) return analytical row sets rather than stable single-URI documents, so they are not exposed as resources — call the tools instead.
Features
Built on @cyanheads/mcp-ts-core:
- Declarative tool, resource, and prompt definitions — single file per primitive, framework handles registration and validation
- Unified error handling — handlers throw, framework catches, classifies, and formats
- Typed error contracts with agent-facing recovery hints
- Pluggable auth:
none,jwt,oauth - Structured logging with optional OpenTelemetry tracing
- STDIO and Streamable HTTP transports
gnomAD-specific:
- Single keyless GraphQL source for the entire core surface — ClinVar significance is joined per variant inside gnomAD's own response
datasetandreference_genomeare distinct, coherence-validated parameters (v4/v3 ⇒ GRCh38, v2.1/ExAC ⇒ GRCh37); both are echoed in every tool's output so a wrong-build coordinate mismatch is visible- Polite client — conservative concurrency cap and exponential backoff against a community-funded, rate-limited API
- In-conversation SQL analytics:
gnomad_list_gene_variantsandgnomad_search_clinvarstage their full result on a DuckDB-backed canvas table queryable viagnomad_dataframe_query
Agent-friendly output:
- Per-ancestry allele-frequency vector returned in full, never collapsed to a single global AF — the cross-ancestry contrast is the signal clinical interpretation needs
- Graceful partial failure —
gnomad_get_variantreturns per-itemfailed[]rows with actionable messages instead of failing the whole batch - Provenance on every response — effective
datasetandreference_genomeechoed back; null upstream fields preserved as null, never fabricated - Recovery hints on errors (
incoherent_build,invalid_target,gene_not_found,canvas_disabled) so callers know the next move
Getting started
Public Hosted Instance
A public instance is available at https://gnomad-genetics.caseyjhand.com/mcp — no installation required. Point any MCP client at it via Streamable HTTP:
{
"mcpServers": {
"gnomad-genetics-mcp-server": {
"type": "streamable-http",
"url": "https://gnomad-genetics.caseyjhand.com/mcp"
}
}
}
Self-Hosted / Local
Add the following to your MCP client configuration file. gnomAD is a free, keyless API — no credentials required.
{
"mcpServers": {
"gnomad-genetics-mcp-server": {
"type": "stdio",
"command": "bunx",
"args": ["@cyanheads/gnomad-genetics-mcp-server@latest"],
"env": {
"MCP_TRANSPORT_TYPE": "stdio",
"MCP_LOG_LEVEL": "info"
}
}
}
}
Or with npx (no Bun required):
{
"mcpServers": {
"gnomad-genetics-mcp-server": {
"type": "stdio",
"command": "npx",
"args": ["-y", "@cyanheads/gnomad-genetics-mcp-server@latest"],
"env": {
"MCP_TRANSPORT_TYPE": "stdio",
"MCP_LOG_LEVEL": "info"
}
}
}
}
Or with Docker:
{
"mcpServers": {
"gnomad-genetics-mcp-server": {
"type": "stdio",
"command": "docker",
"args": [
"run", "-i", "--rm",
"-e", "MCP_TRANSPORT_TYPE=stdio",
"ghcr.io/cyanheads/gnomad-genetics-mcp-server:latest"
]
}
}
}
For Streamable HTTP, set the transport and start the server:
MCP_TRANSPORT_TYPE=http MCP_HTTP_PORT=3010 bun run start:http
# Server listens at http://localhost:3010/mcp
To enable the SQL analytics path, also set CANVAS_PROVIDER_TYPE=duckdb (requires the @duckdb/node-api peer dependency; unavailable on Cloudflare Workers).
Prerequisites
- Bun v1.3.0 or higher (or Node.js v24+).
- No API key — gnomAD's GraphQL endpoint is keyless. An optional
NCBI_API_KEYraises thegnomad_search_clinvarrate limit.
Installation
- Clone the repository:
git clone https://github.com/cyanheads/gnomad-genetics-mcp-server.git
- Navigate into the directory:
cd gnomad-genetics-mcp-server
- Install dependencies:
bun install
- Configure environment:
cp .env.example .env
# all vars are optional — the server runs keyless out of the box
Configuration
All variables are optional; the server runs keyless with the defaults below.
| Variable | Description | Default |
|---|---|---|
GNOMAD_API_BASE_URL |
gnomAD GraphQL endpoint. Override for a private mirror or testing. | https://gnomad.broadinstitute.org/api |
GNOMAD_DEFAULT_DATASET |
Dataset used when a tool call omits dataset (gnomad_r4 / gnomad_r3 / gnomad_r2_1 / exac). |
gnomad_r4 |
GNOMAD_REQUEST_TIMEOUT_MS |
Per-request timeout against the GraphQL endpoint, in milliseconds. | 30000 |
GNOMAD_MAX_CONCURRENCY |
Cap on concurrent upstream requests — politeness against a community-funded API. | 2 |
GNOMAD_MAX_VARIANT_BATCH |
Maximum variant IDs accepted per gnomad_get_variant call. |
25 |
CLINVAR_BASE_URL |
NCBI E-utilities base URL for gnomad_search_clinvar. |
https://eutils.ncbi.nlm.nih.gov/entrez/eutils |
NCBI_API_KEY |
Optional NCBI key. Raises the E-utilities rate limit from 3 to 10 req/s. | — |
CANVAS_PROVIDER_TYPE |
Set to duckdb to enable the spill/SQL path behind the list tools. When none, they return a capped inline preview. |
none |
GNOMAD_DATAFRAME_DROP_ENABLED |
Gate for the opt-in gnomad_dataframe_drop tool. Off by default. |
false |
MCP_TRANSPORT_TYPE |
Transport: stdio or http. |
stdio |
MCP_HTTP_PORT |
Port for the HTTP server. | 3010 |
MCP_AUTH_MODE |
Auth mode: none, jwt, or oauth. |
none |
MCP_LOG_LEVEL |
Log level (RFC 5424). | info |
OTEL_ENABLED |
Enable OpenTelemetry instrumentation. | false |
See .env.example for the full list of optional overrides.
Running the server
Local development
-
Build and run:
# One-time build bun run rebuild # Run the built server bun run start:stdio # or bun run start:http -
Run checks and tests:
bun run devcheck # Lint, format, typecheck, security bun run test # Vitest test suite bun run lint:mcp # Validate MCP definitions against spec
Docker
docker build -t gnomad-genetics-mcp-server .
docker run --rm -e MCP_TRANSPORT_TYPE=http -p 3010:3010 gnomad-genetics-mcp-server
The Dockerfile defaults to HTTP transport, stateless session mode, and logs to /var/log/gnomad-genetics-mcp-server. OpenTelemetry peer dependencies are installed by default — build with --build-arg OTEL_ENABLED=false to omit them.
Project structure
| Directory | Purpose |
|---|---|
src/index.ts |
createApp() entry point — registers tools/resources/prompts and inits services. |
src/config |
Server-specific environment variable parsing and validation with Zod. |
src/mcp-server/tools |
Tool definitions (*.tool.ts) and shared input schemas. |
src/mcp-server/resources |
Resource definitions (*.resource.ts). |
src/mcp-server/prompts |
Prompt definitions (*.prompt.ts). |
src/services/gnomad |
gnomAD GraphQL client, query documents, and domain types. |
src/services/clinvar |
NCBI E-utilities client for the optional ClinVar tool. |
src/services/canvas-accessor.ts |
Module-level accessor for the framework's optional DataCanvas. |
Development guide
See CLAUDE.md/AGENTS.md for development guidelines and architectural rules. The short version:
- Handlers throw, framework catches — no
try/catchin tool logic - Use
ctx.logfor request-scoped logging,ctx.statefor tenant-scoped storage - Register new tools and resources in the
createApp()arrays insrc/index.ts - Wrap external API calls: validate raw → normalize to domain type → return output schema; never fabricate missing fields
Contributing
Issues and pull requests are welcome. Run checks and tests before submitting:
bun run devcheck
bun run test
License
Apache-2.0 — see LICENSE for details.
gnomAD data is provided by the Genome Aggregation Database (Broad Institute). ClinVar data is provided by NCBI.
Install
Add gnomad genetics mcp server to your client. Pick the one you use.
{
"servers": {
"gnomad-genetics-mcp-server": {
"type": "http",
"url": "https://gnomad-genetics.caseyjhand.com/mcp"
}
}
}Add to `.vscode/mcp.json` in your workspace.
claude mcp add gnomad-genetics-mcp-server -- npx -y @cyanheads/gnomad-genetics-mcp-servercodex mcp add gnomad-genetics-mcp-server -- npx -y @cyanheads/gnomad-genetics-mcp-serveramp mcp add gnomad-genetics-mcp-server -- npx -y @cyanheads/gnomad-genetics-mcp-server{
"mcpServers": {
"gnomad-genetics-mcp-server": {
"command": "npx",
"args": [
"-y",
"@cyanheads/gnomad-genetics-mcp-server"
]
}
}
}Add to `claude_desktop_config.json`, then restart Claude Desktop.
{
"mcpServers": {
"gnomad-genetics-mcp-server": {
"command": "npx",
"args": [
"-y",
"@cyanheads/gnomad-genetics-mcp-server"
]
}
}
}Add to `~/.cursor/mcp.json`, or `.cursor/mcp.json` for a single project.
{
"mcpServers": {
"gnomad-genetics-mcp-server": {
"command": "npx",
"args": [
"-y",
"@cyanheads/gnomad-genetics-mcp-server"
]
}
}
}Add to `~/.codeium/windsurf/mcp_config.json`.
{
"mcpServers": {
"gnomad-genetics-mcp-server": {
"command": "npx",
"args": [
"-y",
"@cyanheads/gnomad-genetics-mcp-server"
]
}
}
}Add to `cline_mcp_settings.json` via the MCP Servers panel.
{
"mcpServers": {
"gnomad-genetics-mcp-server": {
"command": "npx",
"args": [
"-y",
"@cyanheads/gnomad-genetics-mcp-server"
]
}
}
}Add to `~/.gemini/settings.json`.
{
"mcpServers": {
"gnomad-genetics-mcp-server": {
"type": "local",
"command": "npx",
"args": [
"-y",
"@cyanheads/gnomad-genetics-mcp-server"
],
"tools": [
"*"
]
}
}
}Add to `~/.copilot/mcp-config.json`, or run `/mcp add` inside the CLI.
{
"context_servers": {
"gnomad-genetics-mcp-server": {
"command": {
"path": "npx",
"args": [
"-y",
"@cyanheads/gnomad-genetics-mcp-server"
]
}
}
}
}Add to your Zed `settings.json`.
npx -y @cyanheads/gnomad-genetics-mcp-serverRun `goose configure`, choose **Add Extension → Command-line Extension**, and paste this command.
8 tools
gnomad genetics mcp server exposes 8 tools to a connected agent.
- gnomad_get_variant
- Full population record for one or more variants — AC/AN/AF overall and per genetic-ancestry group, homozygote/hemizygote counts, quality flags, transcript consequence, in-silico predictors, and joined ClinVar significance. Batch up to 25 IDs with per-item partial success.
- gnomad_get_gene_constraint
- Gene loss-of-function constraint — pLI, LOEUF (`oe_lof_upper`) with CI, observed/expected ratios, and Z-scores. By HGNC symbol or Ensembl gene ID.
- gnomad_list_gene_variants
- Every variant in a gene, transcript, or region with allele frequencies and predicted consequences, filterable by consequence class and max AF. Spills to the `gene_variants` canvas table.
- gnomad_get_coverage
- Sequencing coverage across a gene, transcript, or region — mean/median depth and the fraction of samples over depth thresholds, per callset track. Tells a true absent variant from an uncallable position.
- gnomad_search_clinvar
- Gene-level ClinVar detail via NCBI E-utilities — classified variants, review status (star rating), conditions, and submission counts. Spills to the `clinvar_variants` canvas table.
- gnomad_dataframe_query
- Run a read-only SQL `SELECT` across canvas tables staged by the list tools.
- gnomad_dataframe_describe
- List the tables staged on a canvas and their columns before writing SQL.
- gnomad_dataframe_drop
- Drop a named table from a canvas to reclaim memory. Opt-in via `GNOMAD_DATAFRAME_DROP_ENABLED=true` — off by default since per-table TTL already handles cleanup.
Score
80 / 100
Excellent
- Documentation25/25
- Maintenance25/25
- Trust6/20
- Capability9/15
- Install experience15/15
- Documents what it does and how to connect
- Has a resolvable package or endpoint
- Exposes at least one tool, prompt or resource
- README has substantive content
- Includes a code example
- Documents its configuration
- Mentions credentials or security posture
- Last commit 1 days ago
- Has a release history
- Repository is not archived
- No licence detected
- Namespace verified in the official MCP registry
- Claimed by its owner
- Published under an organisation
- 8 tool(s) documented
- Provides prompt templates
- Provides resources
- 18 documented install method(s)
- Published to a package registry
- Offers a hosted endpoint — no local install
Version history
| Versions | Published |
|---|---|
| 0.2.1Latest | Aug 31, 2026 |
| 0.2.0 | Aug 21, 2026 |
| 0.1.5 | Jul 1, 2026 |
| 0.1.4 | Jul 1, 2026 |
| 0.1.3 | Jun 28, 2026 |
| 0.1.2 | Jun 28, 2026 |