save_project_config
Save project-specific configuration to .vscode-mcp.toml
This record as markdown: /tools/agentics-ai-code-mcp/save-project-config.md
What save_project_config does on Code MCP Server
AI agents use save_project_config to create or update resources in Code MCP Server, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Code MCP Server environment.
Why save_project_config is rated Medium
This tool creates or modifies the .vscode-mcp.toml configuration file, which qualifies as Write category. Severity is high because modifying server configuration could grant an agent elevated capabilities (e.g., adding allowed_commands, altering security policies, or changing workspace behavior) with significant downstream impact, though the effect is reversible.
From the tool's definition save_project_config tool 'Save project-specific configuration to .vscode-mcp.toml' directly modifies a configuration file that controls the behavior of the MCP server and project operations (including command execution, file operations, and Git management as…
Attacks that exploit this kind of access
The rule that runs save_project_config safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Code MCP Server, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For save_project_config, this is the rule to start with:
save_project_config 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 Code MCP Server, apply this rule, and every save_project_config call is checked against it from then on.
Questions about save_project_config
Save project-specific configuration to .vscode-mcp.toml. It is categorised as a Write tool in the Code MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Code MCP Server MCP server in PolicyLayer and add a rule for save_project_config: 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 Code MCP Server. Nothing to install.
save_project_config 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 save_project_config 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 save_project_config. 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.
save_project_config is provided by the Code MCP Server MCP server (agentics-ai/code-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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