zenodo.communities.search
Search Zenodo communities — curated subject-specific collections maintained by researchers and institutions. Communities group related records by discipline, project, or institution (e.g. "astronomy", "bioinformatics", "EU Horizon projects", "CERN data"). Returns community ID, title, description,...
This record as markdown: /tools/io-github-whiteknightonhorse-apibase/zenodo.communities.search.md
What zenodo.communities.search does on Apibase
AI agents call zenodo.communities.search to retrieve information from Apibase without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
| Parameter | Type | Required | Description |
|---|---|---|---|
page | integer | — | Page number for pagination (default 1). |
sort | string | — | Sort order: "bestmatch" (relevance), "newest", or "oldest". Default: bestmatch. |
limit | integer | — | Number of communities to return (default 10, max 50). |
query | string | — | Search term to filter communities by name or topic (e.g. "astronomy", "machine learning", "climate", "bioinformatics"). |
Parameters from the server's own tool schema.
Why zenodo.communities.search is rated Low
Tool queries and retrieves public community metadata without side effects or data modification.
From the tool's definition Search Zenodo communities, returns community ID, title, description, and URL.
Attacks that exploit this kind of access
The rule that runs zenodo.communities.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 zenodo.communities.search, this is the rule to start with:
zenodo.communities.search is read-only, so it stays allowed. 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 zenodo.communities.search call is checked against it from then on.
Questions about zenodo.communities.search
Search Zenodo communities — curated subject-specific collections maintained by researchers and institutions. Communities group related records by discipline, project, or institution (e.g. "astronomy", "bioinformatics", "EU Horizon projects", "CERN data"). Returns community ID, title, description, and URL. Each community has a dedicated landing page on Zenodo with all its member records. Use the community ID with the Zenodo website to browse records within a specific collection. Zenodo currently hosts 5,000+ communities covering all scientific disciplines. It is categorised as a Read tool in the Apibase MCP Server, which means it retrieves data without modifying state.
zenodo.communities.search accepts 4 parameters: page, sort, limit, query. 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 zenodo.communities.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.
zenodo.communities.search is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the zenodo.communities.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 zenodo.communities.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.
zenodo.communities.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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