sentrul_research

Fetch a URL and run Sentrul

Server Sentrul sentrul/sentrul-mcp-server
Category Execute
Risk class High
Parameters 00 required

What sentrul_research does on Sentrul

AI agents invoke sentrul_research to trigger actions in Sentrul. 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.

Why sentrul_research needs a policy

While the tool appears to retrieve content via URL fetch (typically Read), the 'run Sentrul' component indicates execution of an analysis agent whose behavior depends on the URL argument and agent logic. This crosses from passive data retrieval into active execution territory.

From the tool's definition Tool performs active operations: 'Fetch a URL and run Sentrul' — fetching remote URLs combined with running an unspecified agent/analysis system represents code execution with externally-determined effects.

Questions about sentrul_research

What does the sentrul_research tool do? +

Fetch a URL and run Sentrul. It is categorised as a Execute tool in the Sentrul MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on sentrul_research? +

Register the Sentrul MCP server in PolicyLayer and add a rule for sentrul_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 Sentrul. Nothing to install.

What risk level is sentrul_research? +

sentrul_research is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit sentrul_research? +

Yes. Add a rate_limit block to the sentrul_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.

How do I block sentrul_research completely? +

Set action: deny in the PolicyLayer policy for sentrul_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.

What MCP server provides sentrul_research? +

sentrul_research is provided by the Sentrul MCP server (sentrul/sentrul-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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