The full upstream README, mirrored here for reference. Install config, tool schemas, adoption signals, and an original overview live on the Mgnify listing page.
MGnify (EMBL-EBI) — public metagenomics studies, the controlled biome vocabulary they are classified under, and the ~57,000 MAGs and isolate genomes in MGnify's species-level genome catalogues, with completeness, contamination and GTDB taxonomy for each.
Part of Pipeworx — an MCP gateway connecting AI agents to 1683+ live data sources.
mgnify_search_studies(search?, biome_lineage?, limit?) — microbiome studies
by free text and/or biome, each with its ENA project accessions.mgnify_study(accession) — one MGYS study in full.mgnify_genomes(search?, catalogue_id?, taxon_lineage?, limit?) — the genome
catalogues, with CheckM completeness/contamination, N50, GC, origin and
ENA/NCBI cross-references.mgnify_biomes(lineage_prefix?, limit?) — the ~492-lineage biome vocabulary.
The exact lineage strings are not guessable; look them up here first.Keyless. No registration step.
GET /v1/studies/MGYS00010519 returns Not found for a
study v2 serves in full. A v1-based pack would answer "that study does not
exist" about studies that do.catalogue_id=,
taxon_lineage=, biome_name= and lineage= all return the FULL unfiltered
collection — same count, same first row, no error. Only search= narrows
anything (studies 5,684 → 532 for "gut"; genomes 56,782 → 787 for
"Prevotella"). This pack passes search through and applies the rest
client-side, reporting rows_scanned and scan_exhausted so a caller can
tell "no matches" from "we stopped looking".search= does not work on /biomes either. The 492-row vocabulary comes
back whole whatever you ask, so mgnify_biomes pages it and filters here./v2/studies/?…; without it, 301).
Detail URLs must NOT have one (/v2/studies/MGYS00010519).page_size caps at 100 and clamps silently — asking for 500 returns 100
with no indication the request was reduced.Add to your MCP client (Claude Desktop, Cursor, Windsurf, etc.):
tools/list at https://gateway.pipeworx.io/mgnify/mcp returns the tools in the table
above plus the shared Pipeworx meta-tools — ask_pipeworx,
discover_tools, search_within, remember/recall and the rest of the
gateway-wide set. So the tool count you see is larger than this table: a
single-pack endpoint currently lists roughly 30 shared tools alongside the
pack's own. The connection's initialize response states its exact scope, and
is the authoritative answer for a given day.
This is deliberate, not multiplexing by accident. The meta-tools are what let a
scoped connection answer a question this pack does not cover — via
ask_pipeworx, which routes across the whole catalog — without you adding a
second MCP server. There is currently no way to mount a pack endpoint without
them; if the extra schemas cost you more context than the routing is worth,
connect to the full gateway once rather than to several pack endpoints.
Or connect to the full Pipeworx gateway to get every pack's tools listed directly, instead of just this one's:
Both URLs reach the same gateway and the same 1683+ data sources. The
only difference is which pack's tools are listed directly; ask_pipeworx
reaches all of them from either one.
No account needed for the first calls. Inspect any tool: GET https://gateway.pipeworx.io/v1/tools/mgnify_search_studies. Find one: POST https://gateway.pipeworx.io/v1/tools/search_packs with {"query":"..."}.
This package also runs as a local stdio MCP server — no Pipeworx account, no gateway round-trip:
Or run it directly to confirm it starts:
It speaks MCP over stdin/stdout and answers initialize/tools/list/tools/call
for only this pack's tools — none of the shared meta-tools the gateway
connection above adds. Same source, same tools, no ask_pipeworx routing.
Instead of calling tools directly, you can ask questions in plain English — this works on the pack endpoint above as well as on the full gateway:
The gateway picks the right tool and fills the arguments automatically.
MIT