ebi-metagenomics.studies.search
Search EBI's MGnify metagenomics archive for studies by free-text query (name/abstract/bioproject) and/or biome lineage (e.g. "root:Host-associated:Human"). Returns each study's accession, name, abstract, bioproject, sequencing centre, sample count, last-update date, and associated biome lineages...
This record as markdown: /tools/io-github-whiteknightonhorse-apibase/ebi-metagenomics.studies.search.md
What ebi-metagenomics.studies.search does on Apibase
AI agents use ebi-metagenomics.studies.search to create or update resources in Apibase, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Apibase environment.
| Parameter | Type | Required | Description |
|---|---|---|---|
page | integer | — | Page number, 1-indexed (default 1). |
query | string | — | Free-text search across study name, abstract, and bioproject, e.g. "gut microbiome". |
page_size | integer | — | Number of studies to return per page, 1-25 (default 10). |
biome_lineage | string | — | Filter to studies classified under this biome lineage, e.g. "root:Host-associated:Human" or "root:Environmental:Aquatic:Marine". Get valid lineages from ebi-met |
Parameters from the server's own tool schema.
Why ebi-metagenomics.studies.search is rated Medium
An AI agent can call ebi-metagenomics.studies.search faster than any human can review: one bad instruction and it creates or modifies resources in Apibase by the hundred, each call as confident as the last.
Risk signalsAdmin/system-level operation
Attacks that exploit this kind of access
The rule that runs ebi-metagenomics.studies.search safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Apibase, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For ebi-metagenomics.studies.search, this is the rule to start with:
ebi-metagenomics.studies.search stays usable, but capped: an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Apibase, apply this rule, and every ebi-metagenomics.studies.search call is checked against it from then on.
Questions about ebi-metagenomics.studies.search
Search EBI's MGnify metagenomics archive for studies by free-text query (name/abstract/bioproject) and/or biome lineage (e.g. "root:Host-associated:Human"). Returns each study's accession, name, abstract, bioproject, sequencing centre, sample count, last-update date, and associated biome lineages. Data: EMBL-EBI MGnify (www.ebi.ac.uk/metagenomics), no auth required. It is categorised as a Write tool in the Apibase MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
ebi-metagenomics.studies.search accepts 4 parameters: page, query, page_size, biome_lineage. The full parameter table on this page comes from the server's own tool schema.
Register the Apibase MCP server in PolicyLayer and add a rule for ebi-metagenomics.studies.search: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Apibase. Nothing to install.
ebi-metagenomics.studies.search is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the ebi-metagenomics.studies.search rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.
Set action: deny in the PolicyLayer policy for ebi-metagenomics.studies.search. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.
ebi-metagenomics.studies.search is provided by the Apibase MCP server (apibase-mcp-client). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
More on Apibase, and thousands of servers like it.
This server
Across the catalogue