get_llm_connections

List all LLM connections for the project.

Server Langfuse Mcp Python log-logn/langfuse-mcp-python
Category Read
Risk class Low
Parameters 00 required

What get_llm_connections does on Langfuse Mcp Python

AI agents call get_llm_connections to retrieve information from Langfuse Mcp Python without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Why get_llm_connections needs a policy

This tool retrieves and lists LLM connection information. It performs a query operation that returns data without modifying, deleting, or executing any actions. The 'get' prefix and 'list' verb confirm this is a read-only operation with minimal security risk unless connection details themselves are sensitive, which would be a data sensitivity concern rather than a functional risk category.

From the tool's definition Tool name contains 'get' and description states 'List all LLM connections', both indicating a retrieval operation with no side effects.

Questions about get_llm_connections

What does the get_llm_connections tool do? +

List all LLM connections for the project. It is categorised as a Read tool in the Langfuse Mcp Python MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on get_llm_connections? +

Register the Langfuse Mcp Python MCP server in PolicyLayer and add a rule for get_llm_connections: 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 Langfuse Mcp Python. Nothing to install.

What risk level is get_llm_connections? +

get_llm_connections is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit get_llm_connections? +

Yes. Add a rate_limit block to the get_llm_connections 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 get_llm_connections completely? +

Set action: deny in the PolicyLayer policy for get_llm_connections. 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 get_llm_connections? +

get_llm_connections is provided by the Langfuse Mcp Python MCP server (log-logn/langfuse-mcp-python). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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