AI agents invoke kobold_complete to trigger actions in Kobold 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 triggers an external text generation operation via KoboldAI's API. It executes a completion request that produces generated content, which is an external operation dependent on the input prompt. It goes beyond a simple read (no pre-existing data is retrieved) and beyond a simple write (nothing is persistently stored), making Execute the most appropriate category.
From the tool's definition Text completion (OpenAI-compatible)
Documented attack patterns abuse exactly the kind of access kobold_complete gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Kobold MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for kobold_complete:
{
"version": "1",
"default": "deny",
"tools": {
"kobold_complete": {
"limits": [
{
"counter": "kobold_complete_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
} kobold_complete stays usable, but rate-capped — a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.
Free to start. No card required.
Text completion (OpenAI-compatible). It is categorised as a Execute tool in the Kobold MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Kobold MCP Server MCP server in PolicyLayer and add a rule for kobold_complete: 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 Kobold MCP Server. Nothing to install.
kobold_complete 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 kobold_complete 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 kobold_complete. 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.
kobold_complete is provided by the Kobold MCP Server MCP server (phialsbasement/koboldcpp-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Kobold MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
20 Kobold MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.