Low Risk

getRepositoryBranchingModel

Get the branching model for a repository

How to control getRepositoryBranchingModel ↓

What getRepositoryBranchingModel does on Bitbucket MCP

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

Low Risk

Why getRepositoryBranchingModel needs a policy

This tool retrieves configuration information about a repository's branching model. 'Get' operations are read-only queries that do not create, modify, delete, or execute anything. The branching model is metadata about repository structure. Misuse carries minimal risk since it only exposes existing configuration data without enabling destructive or financial actions.

From the tool's definition Tool name 'getRepositoryBranchingModel' and description 'Get the branching model for a repository' indicate data retrieval with no modification or side effects.

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

How to control getRepositoryBranchingModel

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

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "getRepositoryBranchingModel": {}
  }
}

getRepositoryBranchingModel is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.

  1. Create a free account and register Bitbucket MCP — 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.
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Related tools and policies

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Questions about getRepositoryBranchingModel

What does the getRepositoryBranchingModel tool do? +

Get the branching model for a repository. It is categorised as a Read tool in the Bitbucket MCP MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on getRepositoryBranchingModel? +

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

What risk level is getRepositoryBranchingModel? +

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

Can I rate-limit getRepositoryBranchingModel? +

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

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

getRepositoryBranchingModel is provided by the Bitbucket MCP server (matanyemini/bitbucket-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Bitbucket MCP tool call.

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

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49 Bitbucket MCP tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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