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simple_cvxpy_solver

simple_cvxpy_solver

How to control simple_cvxpy_solver ↓

AI agents invoke simple_cvxpy_solver to trigger actions in USolver. 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.

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Based on the server description and sibling tools, this tool executes numerical optimization problems using CVXPY. Despite the empty description, the naming pattern and server context strongly suggest it runs computational solver code. Execute is appropriate since it triggers external solver operations whose effects depend on the problem arguments provided.

From the tool's definition Tool name 'simple_cvxpy_solver' and server context describing dedicated solvers including cvxpy; sibling tools like 'solve_cvxpy_problem' confirm this executes optimization problems via CVXPY library

Documented attack patterns abuse exactly the kind of access simple_cvxpy_solver gives an agent:

PolicyLayer is an MCP gateway — it sits between your AI agents and USolver, and nothing reaches the server without passing your rules. This is the rule we recommend for simple_cvxpy_solver:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "simple_cvxpy_solver": {
      "limits": [
        {
          "counter": "simple_cvxpy_solver_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

simple_cvxpy_solver 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.

  1. Create a free account and register USolver — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
RATE-LIMIT THIS TOOL →

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Go deeper

What does the simple_cvxpy_solver tool do? +

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

How do I enforce a policy on simple_cvxpy_solver? +

Register the USolver MCP server in PolicyLayer and add a rule for simple_cvxpy_solver: 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 USolver. Nothing to install.

What risk level is simple_cvxpy_solver? +

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

Can I rate-limit simple_cvxpy_solver? +

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

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

simple_cvxpy_solver is provided by the USolver MCP server (sdiehl/usolver). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every USolver tool call.

Deterministic rules across all 10 USolver tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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10 USolver tools catalogued and risk-classified — across an index of 42,500+ MCP servers.

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