Commit and push changes to GitHub.
AI agents invoke web_github_push to trigger actions in PC-Control MCP Server. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.
This tool performs a git commit and push operation to a remote GitHub repository. It triggers external version control operations that modify repository state on GitHub. While it writes data, the 'push' aspect executes external operations against a remote service.
From the tool's definition Commit and push changes to GitHub
Attacks that exploit this kind of access
Commit and push changes to GitHub. It is categorised as a Execute tool in the PC-Control MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the PC-Control MCP Server MCP server in PolicyLayer and add a rule for web_github_push: 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 PC-Control MCP Server. Nothing to install.
web_github_push is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the web_github_push 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 web_github_push. 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.
web_github_push is provided by the PC-Control MCP Server MCP server (krsnmlna1/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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