AI agents invoke post_vep_id to trigger actions in OrigeneMCP. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.
VEP (Variant Effect Predictor) is a well-known bioinformatics tool that runs variant annotation analysis. 'post_vep_id' likely triggers an external VEP execution via a POST request with variant IDs. Since the description is empty, confidence is reduced, but the name strongly implies executing an external computational service rather than a simple read or write operation.
From the tool's definition Tool name 'post_vep_id' suggests posting to VEP (Variant Effect Predictor), which executes an external annotation pipeline. Description is empty, lowering confidence.
Documented attack patterns abuse exactly the kind of access post_vep_id 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 post_vep_id:
{
"version": "1",
"default": "deny",
"tools": {
"post_vep_id": {
"limits": [
{
"counter": "post_vep_id_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
}post_vep_id stays usable, but rate-capped — a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.
Free to start. No card required.
post_vep_id. It is categorised as a Execute tool in the OrigeneMCP MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Origene MCP server in PolicyLayer and add a rule for post_vep_id: 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.
post_vep_id is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the post_vep_id 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 post_vep_id. 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.
post_vep_id 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.