Stream Proteome entries matching a query (max 10M entries).
AI agents call stream_proteomes to retrieve information from OrigeneMCP without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool queries a biomedical database and returns proteome entries based on search criteria. It performs no modifications, deletions, code execution, or financial transactions. It is a read-only retrieval operation typical of research databases. The large potential result set (10M entries) does not elevate severity beyond low, as the risk is information disclosure rather than destructive or financial impact.
From the tool's definition Tool name 'stream_proteomes' and description 'Stream Proteome entries matching a query' indicate data retrieval only. The verb 'stream' combined with 'matching a query' describes querying and returning proteome database records without modification.
Documented attack patterns abuse exactly the kind of access stream_proteomes gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and OrigeneMCP, and nothing reaches the server without passing your rules. This is the rule we recommend for stream_proteomes:
{
"version": "1",
"default": "deny",
"tools": {
"stream_proteomes": {}
}
}stream_proteomes is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Stream Proteome entries matching a query (max 10M entries). It is categorised as a Read tool in the OrigeneMCP MCP Server, which means it retrieves data without modifying state.
Register the Origene MCP server in PolicyLayer and add a rule for stream_proteomes: 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 OrigeneMCP. Nothing to install.
stream_proteomes 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 stream_proteomes 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 stream_proteomes. 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.
stream_proteomes is provided by the Origene MCP server (gentel-lab/origenemcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from OrigeneMCP, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
439 OrigeneMCP tools catalogued and risk-classified — across an index of 43,000+ MCP servers.