@pipeworx/mgnify
MCP serverEverything elseMGnify, EMBL-EBI's metagenomics resource: public microbiome studies, the biome vocabulary they…
Available today. Use it from your connected AI after setup.
No other account needed.
Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.
Then ask your AI: use @pipeworx/mgnify
Install @pipeworx/mgnify
The server’s own address, for the clients that take one directly. Or connect ahel onceand every client you use reads it from one address, with the account kept on ahel rather than in each client’s config.
Claude Code
claude mcp add --transport http --scope user pipeworx-mgnify 'https://gateway.pipeworx.io/mgnify/mcp'Run it once in your project, then open /mcp to approve any sign-in the server asks for.
Claude Desktop
https://gateway.pipeworx.io/mgnify/mcpAdd a custom connector in Settings, paste this address, and approve the sign-in.
Cursor
cursor://anysphere.cursor-deeplink/mcp/install?name=pipeworx-mgnify&config=eyJ1cmwiOiJodHRwczovL2dhdGV3YXkucGlwZXdvcnguaW8vbWduaWZ5L21jcCJ9Open the link and Cursor adds the server at that address.
ChatGPT
https://gateway.pipeworx.io/mgnify/mcpIn Settings, enable Developer mode, create an MCP app, and paste this address. Your plan and workspace must allow custom apps.
Codex
codex mcp add pipeworx-mgnify --url 'https://gateway.pipeworx.io/mgnify/mcp'Run it once, then sign in with codex mcp login pipeworx-mgnify if the server asks for an account.
From the project's README
As published by pipeworx-io/mcp-mgnify in README.md.
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 1679+ live data sources.
Tools
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.
Auth
Keyless. No registration step.
Data sources
- https://www.ebi.ac.uk/metagenomics/api/v2/studies/ — study collection.
- https://www.ebi.ac.uk/metagenomics/api/v2/genomes/ — genome catalogues.
- https://www.ebi.ac.uk/metagenomics/api/v2/biomes/ — biome vocabulary.
Things that cost time to rediscover (measured 2026-09-17)
- This pack targets v2 deliberately. v1 is still up and still serves a
study list, but
GET /v1/studies/MGYS00010519returnsNot foundfor a study v2 serves in full. A v1-based pack would answer "that study does not exist" about studies that do. - Most query filters are silently ignored.
catalogue_id=,taxon_lineage=,biome_name=andlineage=all return the FULL unfiltered collection — same count, same first row, no error. Onlysearch=narrows anything (studies 5,684 → 532 for "gut"; genomes 56,782 → 787 for "Prevotella"). This pack passessearchthrough and applies the rest client-side, reportingrows_scannedandscan_exhaustedso a caller can tell "no matches" from "we stopped looking". search=does not work on/biomeseither. The 492-row vocabulary comes back whole whatever you ask, somgnify_biomespages it and filters here.- Collection URLs need a trailing slash (
/v2/studies/?…; without it, 301). Detail URLs must NOT have one (/v2/studies/MGYS00010519). page_sizecaps at 100 and clamps silently — asking for 500 returns 100 with no indication the request was reduced.
Quick Start
Add to your MCP client (Claude Desktop, Cursor, Windsurf, etc.):
{
"mcpServers": {
"mgnify": {
"url": "https://gateway.pipeworx.io/mgnify/mcp"
}
}
}
What this endpoint actually serves
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:
{
"mcpServers": {
"pipeworx": {
"url": "https://gateway.pipeworx.io/mcp"
}
}
}
Both URLs reach the same gateway and the same 1679+ data sources. The
only difference is which pack's tools are listed directly; ask_pipeworx
reaches all of them from either one.
No MCP client? Call it over HTTP
curl -X POST https://gateway.pipeworx.io/v1/tools/mgnify_search_studies \
-H 'Content-Type: application/json' \
-d '{"search":"gut","limit":3}'
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":"..."}.
Standalone (no gateway account)
This package also runs as a local stdio MCP server — no Pipeworx account, no gateway round-trip:
{
"mcpServers": {
"mgnify": {
"command": "npx",
"args": ["-y", "@pipeworx/mcp-mgnify"]
}
}
}
Or run it directly to confirm it starts:
npx -y @pipeworx/mcp-mgnify
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.
Using with ask_pipeworx
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:
ask_pipeworx({ question: "your question about Mgnify data" })
The gateway picks the right tool and fills the arguments automatically.
More
License
MIT
Advanced
- Delivery
- mgnify MCP server → your ahel connector (mcp.ahel.ai) → your AI.
- Catalog kind
- mcp-server
- Key
io-github-pipeworx-io-mgnify- Source
- github.com/pipeworx-io/mcp-mgnify
- Hosted endpoint
https://gateway.pipeworx.io/mgnify/mcp