Update the branching model config for a project
AI agents use updateProjectBranchingModelSettings to create or update resources in Bitbucket MCP — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Bitbucket MCP environment.
This tool updates (modifies) project branching model configuration, which is a reversible write operation. While the change is persistent and could impact development workflows, it does not delete data (not Destructive), execute arbitrary code (not Execute), or involve financial transactions (not Financial).
From the tool's definition Tool name 'updateProjectBranchingModelSettings' and description 'Update the branching model config for a project' indicate modification of project configuration settings.
Documented attack patterns abuse exactly the kind of access updateProjectBranchingModelSettings gives an agent:
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 updateProjectBranchingModelSettings:
{
"version": "1",
"default": "deny",
"tools": {
"updateProjectBranchingModelSettings": {
"limits": [
{
"counter": "updateprojectbranchingmodelsettings_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}updateProjectBranchingModelSettings 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.
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Update the branching model config for a project. It is categorised as a Write tool in the Bitbucket MCP MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Bitbucket MCP server in PolicyLayer and add a rule for updateProjectBranchingModelSettings: 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.
updateProjectBranchingModelSettings is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the updateProjectBranchingModelSettings 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.
Set action: deny in the PolicyLayer policy for updateProjectBranchingModelSettings. 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.
updateProjectBranchingModelSettings 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.
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.