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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...

SERVERApibase SOURCEapibase-mcp-client
Medium RISK CLASS
Category Write
Parameters 40 required
Recommended Rate-limitedsee the rule below
Registry record Grade F, identity unverified Pull the record →

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.

ParameterTypeRequiredDescription
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

Questions about ebi-metagenomics.studies.search

What does the ebi-metagenomics.studies.search tool do? +

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.

What parameters does ebi-metagenomics.studies.search accept? +

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.

How do I enforce a policy on ebi-metagenomics.studies.search? +

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.

What risk level is ebi-metagenomics.studies.search? +

ebi-metagenomics.studies.search is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit ebi-metagenomics.studies.search? +

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.

How do I block ebi-metagenomics.studies.search completely? +

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.

What MCP server provides ebi-metagenomics.studies.search? +

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.

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