AI agents use create_project to create or update resources in Git MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Git MCP Server environment.
This tool creates a new project, which is a reversible write operation. While it modifies the platform state by adding a new resource, the action can be undone by deleting the project. It does not destroy existing data, execute arbitrary code, move funds, or trigger irreversible operations.
From the tool's definition Tool name 'create_project' and description 'Create a new project on the specified platform' indicate data creation via Git/GitHub/GitLab API. The sibling tool 'delete_project' confirms bidirectional project lifecycle management.
Documented attack patterns abuse exactly the kind of access create_project gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Git MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for create_project:
{
"version": "1",
"default": "deny",
"tools": {
"create_project": {
"limits": [
{
"counter": "create_project_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}create_project 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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Create a new project on the specified platform. It is categorised as a Write tool in the Git MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Git MCP Server MCP server in PolicyLayer and add a rule for create_project: 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 Git MCP Server. Nothing to install.
create_project 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 create_project 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 create_project. 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.
create_project is provided by the Git MCP Server MCP server (yumeminami/git_mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Git MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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33 Git MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.