Conduct comprehensive research using AI models. Supports multiple output formats and can consider specific sources or contexts.
AI agents use research to create or update resources in Ultra MCP — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Ultra MCP environment.
An AI agent can call research faster than any human can review — one bad instruction and it creates or modifies resources in Ultra MCP by the hundred, each call as confident as the last.
Documented attack patterns abuse exactly the kind of access research gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Ultra MCP, and nothing reaches the server without passing your rules. This is the rule we recommend for research:
{
"version": "1",
"default": "deny",
"tools": {
"research": {
"limits": [
{
"counter": "research_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}research 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.
Free to start. No card required.
Conduct comprehensive research using AI models. Supports multiple output formats and can consider specific sources or contexts. It is categorised as a Write tool in the Ultra MCP MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Ultra MCP server in PolicyLayer and add a rule for research: 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 Ultra MCP. Nothing to install.
research 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 research 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 research. 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.
research is provided by the Ultra MCP server (realmikechong/ultra-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 30 Ultra MCP tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
Free to start. No card required.
30 Ultra MCP tools catalogued and risk-classified — across an index of 42,500+ MCP servers.