This record as markdown: /tools/0xyg3n-claude-c2/mcp-config.md
What mcp_config does on Claude C2
AI agents use mcp_config to create or update resources in Claude C2, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Claude C2 environment.
Why mcp_config is rated Medium
The tool permits both read and write operations on MCP server configuration. Write operations on system configuration are reversible but carry elevated risk: misconfiguration could disable security controls, alter connectivity, or compromise the integrity of the MCP server itself.
From the tool's definition Tool description states 'Read or update MCP server configuration' — the 'update' capability indicates modification of configuration data.
Attacks that exploit this kind of access
The rule that runs mcp_config safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Claude C2, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For mcp_config, this is the rule to start with:
mcp_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 Claude C2, apply this rule, and every mcp_config call is checked against it from then on.
Questions about mcp_config
Read or update MCP server configuration. It is categorised as a Write tool in the Claude C2 MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Claude C2 MCP server in PolicyLayer and add a rule for mcp_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 Claude C2. Nothing to install.
mcp_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 mcp_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 mcp_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.
mcp_config is provided by the Claude C2 MCP server (0xyg3n/claude-c2). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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