Skip to main content

Plant genomics MCP โ€” 45 tools across 20 live backends (Ensembl Plants, Phytozome, UniProt, Europe PMC, QuickGO, Planteome, PlantCyc/PMN, g:Profiler, AlphaFold, InterPro, PANTHER, OrthoDB, AraGWAS, 1001 Genomes, BLAST, Gramene, KEGG, STRING, ATTED-II, BAR) for Claude Code

Project description

๐ŸŒฑ plant-genomics-mcp

45 tools for plant-genomics locus lookup over the Model Context Protocol โ€” 25 single-locus + 1 region query + 1 variant annotator + 1 gene-set enrichment + 12 parallel-batch + 5 cross-source synthesis variants. Free, public sources: Ensembl Plants, Phytozome BioMart, UniProtKB, Europe PMC, QuickGO, Planteome, PlantCyc/PMN, g:Profiler, NCBI BLAST, Gramene, KEGG, STRING-DB, ATTED-II, and BAR (Bio-Analytic Resource for Plant Biology).

PyPI CI Docker Python License Glama

Claude Code answering a plant-genomics question live โ€” calling plant-genomics-mcp across Ensembl Plants, UniProt, and Europe PMC and synthesizing the AT1G01010 / NAC1_ARATH gene profile in a single turn

๐Ÿ“ฆ Install

pipx install plant-genomics-mcp
claude mcp add plant-genomics --scope local -- plant-genomics-mcp
Other install paths (Docker, from source)
# GHCR Docker image
docker pull ghcr.io/musharna/plant-genomics-mcp:latest
claude mcp add plant-genomics --scope local -- \
  docker run --rm -i ghcr.io/musharna/plant-genomics-mcp:latest

# From source
git clone https://github.com/musharna/plant-genomics-mcp.git
cd plant-genomics-mcp
python -m venv .venv && .venv/bin/pip install -e .
claude mcp add plant-genomics --scope local -- "$(pwd)/.venv/bin/plant-genomics-mcp"

๐Ÿ’ฌ Try it

Once connected, ask Claude a plain-language question โ€” you don't have to name any tool or remember the chain:

"Tell me everything about the Arabidopsis gene AT1G01010 โ€” its function, GO terms, KEGG pathways, protein-interaction partners, and recent papers."

Claude fans out across Ensembl Plants, UniProt, QuickGO, KEGG, STRING-DB, and Europe PMC in a single turn and hands back one synthesized answer. Swap in any locus and pass organism= for cross-species โ€” e.g. rice Os01g0100100 (oryza_sativa) โ€” and it routes to the right backends automatically.

๐Ÿ› ๏ธ Tools

45 tools across 20 backends โ€” Ensembl Plants, Phytozome BioMart, UniProtKB, Europe PMC, QuickGO, Planteome, PlantCyc/PMN, g:Profiler, AlphaFold DB, InterPro, PANTHER, OrthoDB, AraGWAS, 1001 Genomes, NCBI BLAST, Gramene, KEGG, STRING-DB, ATTED-II, BAR. 25 single-locus + 1 region query + 1 variant annotator + 1 gene-set enrichment + 12 parallel-batch + 5 cross-source synthesis. Most take a TAIR-style locus (e.g. AT1G01010) plus optional organism= (slug / scientific name / common name / NCBI taxid โ€” 12-plant curated coverage matrix at the pgmcp://organisms/coverage MCP resource). All publish JSON outputSchema and EDAM ontology tags.

Full tool matrix
# Category Tool What it does
1 Gene metadata (live) ensembl_plants_lookup_locus Fetches gene record from Ensembl Plants REST (any plant species).
2 Cross-references (live) get_gene_xrefs Fetches cross-DB references (UniProt, NCBI Gene, TAIR, GO, โ€ฆ) from Ensembl.
3 Gene metadata (live) phytozome_lookup_locus Fetches gene record from Phytozome BioMart (any Phytozome proteome).
4 Protein (live) resolve_locus_to_uniprot Resolves a locus to its UniProtKB record (Swiss-Prot preferred, TrEMBL OK).
5 Literature (live) locus_literature Searches Europe PMC for papers mentioning the locus (free, no API key).
6 GO annotations (live) locus_go_annotations Fetches QuickGO GO annotations (locus โ†’ UniProt โ†’ QuickGO).
7 Sequence search (live) blast_sequence NCBI BLAST URLAPI โ€” async Put/Get polling with progress notifications.
8 Homology (live) gramene_homologs Fetches Gramene v69 homology entries (ortholog / paralog) with gene_tree_id.
9 Pathways (live) kegg_pathways Fetches KEGG pathway memberships. 7 organisms: Arabidopsis (ath:, native AGI), + rice (osa:), maize (zma:), soybean (gmx:), barley (hvg:), poplar (pop:), brachypodium (bdi:) bridged via Ensembl โ†’ Entrez ID.
10 Interactions (live) string_interactions Fetches STRING-DB first-neighbor interaction partners with per-channel score.
11 Coexpression (live) atted_coexpression Fetches ATTED-II Ath-u.c4-0 top-N coexpression neighbors with z-scores.
12 Curator summary (live) bar_gene_summary Fetches BAR ThaleMine + GAIA-aliases curator summary for an Arabidopsis locus.
13 Expression (live) bar_efp_expression Fetches BAR eFP-Browser expression profile (mean ยฑ SD per tissue) for a locus.
14 Interactions (live) bar_aiv_interactions Fetches BAR AIV interaction partners (Arabidopsis + rice) with confidence + papers.
15 Curator summary (live) tair_locus_info Silent upgrade โ€” alias of bar_gene_summary. MCP tool name preserved for clients.
16 Metabolism (live) plantcyc_locus_info Walks gene โ†’ enzyme โ†’ reactions โ†’ PlantCyc/PMN pathways (free BioCyc web-services API). The metabolic-pathway view KEGG/GO lack; found=false for non-enzymatic genes. 11 species have a PGDB.
17 Sequence (live) get_sequence Fetches a locus's sequence (genomic / cds / cdna / protein) from Ensembl /sequence/id โ€” the fetch half of lookup โ†’ fetch โ†’ BLAST; feed sequence to blast_sequence.
18 Region query (live) ensembl_region_query Lists gene/transcript/cds/exon features overlapping a genomic interval (chr:start-end) via Ensembl /overlap/region โ€” "what's in this QTL interval" without a per-locus lookup.
19 Enrichment (live) go_enrichment GO + KEGG over-representation for a gene list via g:Profiler g:GOSt โ€” "what is my DE / co-expression set enriched for?" Reports unmapped loci; optional custom background. All 12 organisms.
20 Plant ontology (live) locus_plant_ontology Plant Ontology (anatomy / dev-stage) + Trait Ontology annotations for a locus via Planteome (Solr) โ€” the plant-specific ontologies GO doesn't cover. by_ontology rollup; taxon-filtered. Strong for 6 species.
21 Structure (live) alphafold_structure AlphaFold DB predicted 3D model for a locus (locus โ†’ UniProt โ†’ model): global mean pLDDT, per-band confidence, modelled span, and mmCIF / PDB / PAE URLs. found=false when no model is deposited. All 12 organisms.
22 Domains (live) interpro_domains InterPro domain / family architecture (locus โ†’ UniProt): each entry's accession, name, type, source_database (Pfam included), integrated InterPro id, and residue spans, plus a count_by_type rollup. All 12 organisms.
23 Variation (live) locus_variants Natural (EVA/dbSNP) variants overlapping a locus's genomic span via Ensembl /overlap/region โ€” id, source, consequence class, alleles, clinical significance. variant_count + truncated. All 12 organisms.
24 Variation (live) vep_annotate Ensembl VEP consequence prediction for a variant (region + allele, not locus) โ€” most-severe consequence + per-transcript SO terms, IMPACT, SIFT/PolyPhen. All 12 organisms.
25 Orthology (live) panther_family PANTHER protein family + subfamily (id + name), GO terms by aspect, protein class, and pathways. found=false when unclassified. All 12 organisms.
26 Orthology (live) orthodb_orthologs OrthoDB ortholog group (name, evolutionary rate) + cross-species member genes at the Viridiplantae level. organism_count + truncated. All 12 organisms.
27 Diversity (live) aragwas_associations AraGWAS genome-wide association hits per locus โ€” score, MAF, SNP effect, phenotype/study. Arabidopsis-only.
28 Diversity (live) arabidopsis_natural_variation 1001 Genomes natural-variation SNP effects across 1135 accessions โ€” chr, position, effect, impact, amino-acid change, transcript + gene span. Arabidopsis-only.
29 Batch (live) batch_* (twelve variants) Parallel per-locus fanout for tools 1โ€“6, 8โ€“12, 14. Up to 50 loci per call.
30 Synthesis (live) *_synth / consensus_homologs (four) Compose 2โ€“5 backends in parallel, return a SynthesisEnvelope with per-step status.
31 Synthesis (live) gene_report One-shot "tell me about this gene" dossier โ€” annotation + xrefs + protein + domains + GO + KEGG + STRING + literature composed into a rendered Markdown result.markdown (+ structured result.sections).

โšก Quickstart

After install, the simplest call returns the Ensembl Plants record for NAC001 โ€” the canonical worked example used throughout examples/:

// arguments
{ "locus": "AT1G01010" }

// result (truncated)
{
  "id": "AT1G01010",
  "organism": "arabidopsis_thaliana",
  "display_name": "NAC001",
  "biotype": "protein_coding",
  "seq_region_name": "1",
  "start": 3631,
  "end": 5899,
  "strand": 1,
  "assembly_name": "TAIR10",
  "description": "NAC domain containing protein 1 ..."
}

Cross-species โ€” pass organism=:

{ "locus": "Os01g0100100", "organism": "oryza_sativa" }

In Claude Code, the same prompt fans out across Ensembl, UniProtKB, and Europe PMC in a single turn (animated demo):

Claude Code (Opus 4.7) calling plant-genomics-mcp 8 times to return the AT1G01010 / NAC1_ARATH record with Ensembl, UniProt Q0WV96, and the top-3 Europe PMC papers

Full per-tool walkthroughs (with real upstream-API transcripts) live in examples/:

Walkthrough Coverage
gene_report_AT1G01010.md One-shot Markdown gene dossier โ€” 7 backends composed, with graceful KEGG degradation.
analyze_locus_AT1G01010.md Ensembl โ†’ xrefs โ†’ UniProt โ†’ Europe PMC โ†’ QuickGO chain (5 tools).
find_homologs_AT1G01010_NAC_domain.md BLAST + per-hit UniProt enrichment.
biological_context_AT1G01010.md Gramene + KEGG + UniProt + STRING + ATTED-II (5 tools).
v0.8_synthesis_walkthrough.md All 4 v0.8 synthesis tools (*_synth + consensus_homologs) on the same locus.
cross_organism_walkthrough.md v0.9 multi-organism resolver against rice + maize โ€” per-backend routing on PyPI v1.0.4.

๐Ÿ“š Resources & prompts

Four read-only MCP resources + three parameterized prompts

Clients discover them via resources/list and prompts/list.

Resources (resources/read):

URI What
pgmcp://cache/stats Per-backend TTLCache rollup โ€” {hits, misses, size} for each live backend.
pgmcp://organisms/phytozome Slug โ†’ Phytozome organism_id map.
pgmcp://backends/status Per-backend liveness rollup โ€” name, base_url, kind, subscription_gated, probed_at.
pgmcp://organisms/coverage Markdown table of all 12 supported plants ร— 5 ID slots (ncbi_taxid / ensembl / phytozome / โ€ฆ).

Prompts (prompts/get):

Name Required Optional Chains
analyze_locus locus organism (default arabidopsis_thaliana) Ensembl โ†’ xrefs โ†’ UniProt โ†’ Europe PMC โ†’ QuickGO.
find_homologs sequence program (default blastp) blast_sequence โ†’ per-hit resolve_locus_to_uniprot for UniProt-shaped accessions.
biological_context locus top_n (default 10) Gramene โ†’ KEGG โ†’ UniProt โ†’ STRING โ†’ ATTED-II.

๐Ÿ”Œ Transports

Transport How to launch
stdio (default) plant-genomics-mcp (after install) or via Docker above
streamable-HTTP plant-genomics-mcp-http โ€” POST JSON-RPC at http://host:port/mcp

The HTTP transport is stateless and emits JSON responses by default โ€” the right shape for registry indexers and remote hosting.

Hosted endpoint

A small personal demo runs at:

https://mjarnoldgt76.tail86d19d.ts.net/mcp

Intended for registry indexers, one-off evaluation, and quick interactive testing โ€” not for production workloads. No SLA, no uptime commitment, URL may change without notice (single laptop on a residential connection).

# liveness probe
curl https://mjarnoldgt76.tail86d19d.ts.net/healthz
# {"status":"ok"}

# connect from Claude Code
claude mcp add --transport http plant-genomics-mcp \
  https://mjarnoldgt76.tail86d19d.ts.net/mcp

For anything beyond casual evaluation, self-host. The HTTP transport is the same binary; self-hosting buys deterministic uptime, your own bearer-token gate (PLANT_GENOMICS_MCP_HTTP_TOKEN), and NCBI BLAST etiquette under your own contact email.

โš™๏ธ Configuration

Stdio needs no configuration. The two env vars that matter:

Variable When Effect
PLANT_GENOMICS_MCP_HTTP_TOKEN HTTP transport only Bearer token for /mcp; must be โ‰ฅ32 chars or the HTTP server aborts at startup. Generate openssl rand -hex 32.
PLANT_GENOMICS_MCP_NCBI_EMAIL If you use BLAST NCBI etiquette contact. Unset โ†’ placeholder + per-call warning; NCBI may throttle.
All env vars (HTTP bind, body cap, cache, BLAST concurrency)
Variable Default Effect
PLANT_GENOMICS_MCP_HTTP_HOST 127.0.0.1 HTTP bind address.
PLANT_GENOMICS_MCP_HTTP_PORT 8765 HTTP TCP port.
PLANT_GENOMICS_MCP_HTTP_MAX_BODY 2097152 (2 MiB) Reject POSTs with Content-Length larger than this.
PLANT_GENOMICS_MCP_HTTP_STATELESS 1 0 keeps per-client session state (SSE-style).
PLANT_GENOMICS_MCP_HTTP_JSON 1 0 switches the response shape to streaming SSE events.
PLANT_GENOMICS_MCP_BLAST_CONCURRENCY 2 Max in-flight BLAST searches per process (NCBI per-IP rate limit).
PLANT_GENOMICS_MCP_CACHE_TTL 600 Per-backend TTL+LRU cache entry lifetime, in seconds. 200-only.
PLANT_GENOMICS_MCP_CACHE_SIZE 256 Max entries per backend before LRU eviction.
PLANT_GENOMICS_MCP_CACHE_DISABLED unset Any non-empty value makes every cache a no-op.

The cache is process-local โ€” restart the server to drop all entries. Long-running calls (retry storms, multi-second Phytozome BioMart POSTs) emit MCP notifications/progress over the active session; clients opt in via progressToken in the request _meta.

โš ๏ธ Error model

Wire-prefix taxonomy + batch result shape

All live tools raise PlantGenomicsError subclasses; the MCP SDK stringifies them into the wire content with a [ClassName] prefix so clients can route on failure kind without parsing the message:

Wire prefix When
[NotFoundError] 404 / empty BioMart row / invalid locus identifier
[RateLimitError] 429 retry budget exhausted โ€” back off and retry
[UpstreamUnavailableError] 5xx past retry budget โ€” service outage, try a peer backend
[PlantGenomicsError] Other (BioMart Query ERROR: body, unexpected column count, etc.)

Batch tools return {tool, count, results, errors} where results[locus] is the same shape as the single-locus tool and errors[locus] is the same [ClassName] message string. Ensembl's batch uses the native POST /lookup/id endpoint (one HTTP round-trip); everything else fans out via asyncio.gather.

๐Ÿงช Development

.venv/bin/pip install -e '.[dev]'
.venv/bin/pytest -q                                       # unit tests
PLANT_GENOMICS_MCP_LIVE=1 .venv/bin/pytest -q             # adds live network probes
PLANT_GENOMICS_MCP_STDIO_SMOKE=1 .venv/bin/pytest -q      # adds stdio smoke
.venv/bin/ruff check .

CI runs the unit suite + the stdio smoke on every push/PR (matrix: Python 3.11, 3.12). The live-network gate is not run in CI to avoid flakes from upstream availability.

Scientific validation / drift detection. scripts/benchmark_annotations.py drives a curated corpus of canonical loci (27, spanning all 12 organisms) through every backend + synthesis pipeline and compares results to a frozen baseline, emitting PASS / DRIFT / FAIL plus cross-source consistency invariants. It's how upstream data drift is caught. A scheduled GitHub Actions workflow (.github/workflows/benchmark.yml) runs it weekly and pages on a confirmed regression. Operator guide: docs/benchmarking.md.

.venv/bin/python scripts/benchmark_annotations.py        # full live sweep (~3-5 min)

See CHANGELOG.md for release notes, including the v0.8 โ†’ v0.9 species=/organism_id= โ†’ organism= migration and the v1.0.1 HTTP-token enforcement change.

MCP registry

Listed in the official MCP registry under the namespace below (ownership-verification token for mcp-publisher):

mcp-name: io.github.musharna/plant-genomics-mcp

License

MIT โ€” see LICENSE. Underlying services (Ensembl Plants, Phytozome, TAIR, PlantCyc, BAR) have their own terms of use; consult each before bulk querying.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

plant_genomics_mcp-1.15.0.tar.gz (1.2 MB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

plant_genomics_mcp-1.15.0-py3-none-any.whl (148.0 kB view details)

Uploaded Python 3

File details

Details for the file plant_genomics_mcp-1.15.0.tar.gz.

File metadata

  • Download URL: plant_genomics_mcp-1.15.0.tar.gz
  • Upload date:
  • Size: 1.2 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.13

File hashes

Hashes for plant_genomics_mcp-1.15.0.tar.gz
Algorithm Hash digest
SHA256 330249d9f69cf6f303f7b362007856554d5c1c68a4ae3c947c028ec50a1870fa
MD5 2a6f3b3763ded54095b073f3fab2f362
BLAKE2b-256 98857e076f422ab0c584c8b9160ca593a2f83a28d0aabe69e0953f9fb75eae87

See more details on using hashes here.

Provenance

The following attestation bundles were made for plant_genomics_mcp-1.15.0.tar.gz:

Publisher: release.yml on musharna/plant-genomics-mcp

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file plant_genomics_mcp-1.15.0-py3-none-any.whl.

File metadata

File hashes

Hashes for plant_genomics_mcp-1.15.0-py3-none-any.whl
Algorithm Hash digest
SHA256 f07eaeda7636603f43b2f11a108508404bb3361ee99f150b1cf63a5ac9919dea
MD5 8a03a13ec023d34853842434a97743aa
BLAKE2b-256 438d86b837723630a489f88d7cad4a7903a6361f36820c689b759d915589ce49

See more details on using hashes here.

Provenance

The following attestation bundles were made for plant_genomics_mcp-1.15.0-py3-none-any.whl:

Publisher: release.yml on musharna/plant-genomics-mcp

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page