wavexis_modify_request

Intercept and modify requests matching a pattern in-flight (W6).

SERVERPypi:wavexis SOURCEMathiasPaulenko/wavexis-mcp

High RISK CLASS

Category Execute

Parameters 00 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/wavexis-mcp/wavexis-modify-request.md

WHAT IT DOES

What wavexis_modify_request does on Pypi:wavexis

AI agents invoke wavexis_modify_request to trigger actions in Pypi:wavexis. 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.

RISK

Why wavexis_modify_request is rated High

This tool intercepts and modifies HTTP requests while they are in transit, which constitutes an active execution of browser/network manipulation. It can alter outbound requests mid-flight, potentially changing headers, payloads, URLs, or authentication tokens sent to external services.

From the tool's definition Intercept and modify requests matching a pattern in-flight

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs wavexis_modify_request safely

PolicyLayer is an MCP gateway: it sits between your AI agents and Pypi:wavexis, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For wavexis_modify_request, this is the rule to start with:

wavexis_modify_request Rate-limited

wavexis_modify_request 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.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "wavexis_modify_request": {
      "limits": [
        {
          "counter": "wavexis_modify_request_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

RATE-LIMIT THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect Pypi:wavexis, apply this rule, and every wavexis_modify_request call is checked against it from then on.

FAQ

Questions about wavexis_modify_request

What does the wavexis_modify_request tool do? +

Intercept and modify requests matching a pattern in-flight (W6). It is categorised as a Execute tool in the Pypi:wavexis MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on wavexis_modify_request? +

Register the Pypi:wavexis MCP server in PolicyLayer and add a rule for wavexis_modify_request: 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 Pypi:wavexis. Nothing to install.

What risk level is wavexis_modify_request? +

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

Can I rate-limit wavexis_modify_request? +

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

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

wavexis_modify_request is provided by the Pypi:wavexis MCP server (MathiasPaulenko/wavexis-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

KEEP EXPLORING

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http_request on 0sec → All high-risk MCP tools → The MCP Attack Database →

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