github_batch_commit
A write tool on the Github MCP server.
This record as markdown: /tools/dkeeno-github-mcp-server/github-batch-commit.md
What github_batch_commit does on Github
AI agents use github_batch_commit to create or update resources in Github, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Github environment.
Why github_batch_commit is rated Medium
Batch commit creates multiple commits reversibly (can be undone via git revert/reset), making it a Write operation rather than Destructive. However, the blast radius is high because an AI agent could commit malicious code, introduce vulnerabilities, or corrupt repository history at scale. Confidence is 0.75 rather than higher because the tool description is empty, requiring inference from name and server context.
From the tool's definition Tool name 'github_batch_commit' indicates commits to GitHub repositories. The server description explicitly mentions 'push' and 'repository management' capabilities. Batch commit is a write operation that creates or modifies commits in a repository.
Attacks that exploit this kind of access
The rule that runs github_batch_commit safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Github, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For github_batch_commit, this is the rule to start with:
github_batch_commit 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.
The button opens the PolicyLayer dashboard: create your workspace, connect Github, apply this rule, and every github_batch_commit call is checked against it from then on.
Questions about github_batch_commit
github_batch_commit is a write tool on the Github MCP server. It is categorised as a Write tool in the Github MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Github MCP server in PolicyLayer and add a rule for github_batch_commit: 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 Github. Nothing to install.
github_batch_commit 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 github_batch_commit 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 github_batch_commit. 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.
github_batch_commit is provided by the Github MCP server (dkeeno/github-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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