Medium Risk

muse_collect_code_context

Collects code blocks and conversation summaries into a structured context for documentation. Supports automatic language detection, duplicate removal, and statistics.

Risk signalsAccepts freeform code/query input (codeBlocks[].code) · Accepts file system path (codeBlocks[].filename) · High parameter count (11 properties)

Part of the Vibe Coding server.

muse_collect_code_context can modify Vibe Coding data, with no limits today. PolicyLayer puts allow, deny, and rate-limit rules on every call. Live in minutes.

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AI agents use muse_collect_code_context to create or modify resources in Vibe Coding. Write operations carry medium risk because an autonomous agent could trigger bulk unintended modifications. Rate limits prevent a single agent session from making hundreds of changes in rapid succession. Argument validation ensures the agent passes expected values.

Without a policy, an AI agent could call muse_collect_code_context repeatedly, creating or modifying resources faster than any human could review. PolicyLayer's rate limiting ensures write operations happen at a controlled pace, and argument validation catches malformed or unexpected inputs before they reach Vibe Coding.

Write tools can modify data. A rate limit prevents runaway bulk operations from AI agents.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "muse_collect_code_context": {
      "limits": [
        {
          "counter": "muse_collect_code_context_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

See the full Vibe Coding policy for all 15 tools.

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These attack patterns abuse exactly the kind of access muse_collect_code_context gives an agent. Each links to the full case and the policy that stops it:

Browse the full MCP Attack Database →

Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so muse_collect_code_context only ever does what you allow.

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Other write tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.

What does the muse_collect_code_context tool do? +

Collects code blocks and conversation summaries into a structured context for documentation. Supports automatic language detection, duplicate removal, and statistics.. It is categorised as a Write tool in the Vibe Coding MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on muse_collect_code_context? +

Register the Vibe Coding MCP server in PolicyLayer and add a rule for muse_collect_code_context: 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 Vibe Coding. Nothing to install.

What risk level is muse_collect_code_context? +

muse_collect_code_context is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit muse_collect_code_context? +

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

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

muse_collect_code_context is provided by the Vibe Coding MCP server (vibe-coding-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Vibe Coding tool call.

Deterministic rules across all 15 Vibe Coding tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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