remember_bugfix

THE RISK

Medium Risk

Why remember_bugfix needs a policy

This tool writes/persists data (bug fix records) to a knowledge graph for future retrieval. It creates new structured records but does not execute code, delete data, or have financial implications. Misuse risk is low as it only adds informational entries to a searchable store.

From the tool's definition 'Record a resolved bug', 'Stores symptom, root cause, and fix as a structured observation'

Risk signalsAdmin/system-level operation

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

POLICY

How to control remember_bugfix

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

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "remember_bugfix": {
      "limits": [
        {
          "counter": "remember_bugfix_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

remember_bugfix stays usable, but capped — an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.

Create a free account and register GraphHub — nothing to install.
Add this policy — paste it, or build it visually.
Point your MCP client (Claude, Cursor, anything) at your gateway URL.

LIMIT THIS TOOL →

Free to start. No card required.

EXPLORE

Related tools and policies

More GraphHub tools

Destructive forget Delete observations from memory. Can delete by ID, session, project, type, or date. Execute query_graph Run a direct Cypher query against the codebase graph database. Use this to find complex re Write remember_skill_choice Cache which .skill.md / SKILL.md file was used for a task so similar future tasks route to Write remember Save a learning, decision, finding, or other observation to persistent memory. Searchable Write update_observation Update an existing observation Read batch_context Get definition + caller/callee counts for multiple symbols in one call. Replaces N get_con Read changed_symbols List the symbols in files changed by the current branch (or working tree / staged diff). E Read check_arch_rules Enforce architecture boundary rules — detect files that import across forbidden layer boun

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Write tools on other servers

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Go deeper

The MCP Attack Database → Documented attack patterns against MCP deployments — and the policies that stop them.
Argument validation → Checking tool call arguments against schema and policy before they run.
Scoped token → Per-person credentials that grant a defined subset of servers and tools.
Rate Limiting MCP Tool Calls: A Practical Guide →
MCP Security: Why Prompt Guardrails Aren't Enough →

FAQ

Questions about remember_bugfix

What does the remember_bugfix tool do? +

Record a resolved bug so future agents can reuse the fix pattern. Stores symptom, root cause, and fix as a structured observation searchable via recall_bugfix. It is categorised as a Write tool in the GraphHub MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on remember_bugfix? +

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

What risk level is remember_bugfix? +

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

Can I rate-limit remember_bugfix? +

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

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

remember_bugfix is provided by the GraphHub MCP server (slnquangtran/graph-hub). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every GraphHub tool call.

Start from GraphHub, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

CHECK YOUR STACK →