ollama_chat

THE RISK

High Risk

This tool executes inference on a local LLM, including support for 'tool calling' which means it can trigger external operations depending on arguments passed. While a basic chat interaction is read-like, the tool-calling capability means the model can invoke external tools/functions, making Execute the most appropriate category.

From the tool's definition "Chat with a model using conversation messages. Supports system messages, multi-turn conversations, tool calling, and generation options."

Documented attack patterns abuse exactly the kind of access ollama_chat gives an agent:

HOW TO CONTROL OLLAMA_CHAT

PolicyLayer is an MCP gateway — it sits between your AI agents and Ollama MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for ollama_chat:

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "ollama_chat": {
      "limits": [
        {
          "counter": "ollama_chat_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

ollama_chat 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.

Create a free account and register Ollama MCP Server — nothing to install.
Add this policy — paste it, or build it visually.
Point your MCP client (Claude, Cursor, anything) at your gateway URL.

RATE-LIMIT THIS TOOL →

Free to start. No card required.

EXPLORE

More Ollama MCP Server tools

Destructive ollama_delete Delete a model from local storage. Removes the model and frees up disk space. Execute ollama_generate Generate completion from a prompt. Simpler than chat, useful for single-turn completions. Write ollama_pull Pull a model from the Ollama registry. Downloads the model to make it available locally. Write ollama_copy Copy a model. Creates a duplicate of an existing model with a new name. Write ollama_create Create a new model with structured parameters. Allows customization of model behavior, sys Write ollama_push Push a model to the Ollama registry. Uploads a local model to make it available remotely. Read ollama_embed Generate embeddings for text input. Returns numerical vector representations. Read ollama_list List all available Ollama models installed locally. Returns model names, sizes, and modifi

All 13 Ollama MCP Server tools →

Execute tools on other servers

Frida Game Hacking MCP remove_breakpoint Procmon request_elevation WireMCP capture_packets Pentest Ai run_probe

Go deeper

High-risk tools in Ollama MCP Server → Every high-risk tool this server exposes, in one view.
All high-risk MCP tools → Every high-risk tool across the catalogue, and the policy pattern that contains them.
The MCP Attack Database → Documented attack patterns against MCP deployments — and the policies that stop them.
Rate Limiting MCP Tool Calls: A Practical Guide →
MCP Security: Why Prompt Guardrails Aren't Enough →

FAQ

What does the ollama_chat tool do? +

Chat with a model using conversation messages. Supports system messages, multi-turn conversations, tool calling, and generation options. It is categorised as a Execute tool in the Ollama MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on ollama_chat? +

Register the Ollama MCP Server MCP server in PolicyLayer and add a rule for ollama_chat: 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 Ollama MCP Server. Nothing to install.

What risk level is ollama_chat? +

ollama_chat is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit ollama_chat? +

Yes. Add a rate_limit block to the ollama_chat 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.

How do I block ollama_chat completely? +

Set action: deny in the PolicyLayer policy for ollama_chat. 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.

What MCP server provides ollama_chat? +

ollama_chat is provided by the Ollama MCP Server MCP server (rawveg/ollama-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Ollama MCP Server tool call.

Deterministic rules across all 13 Ollama MCP Server tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

GOVERN OLLAMA →

Free to start. No card required.

13 Ollama MCP Server tools catalogued and risk-classified — across an index of 42,500+ MCP servers.

// WHAT OLLAMA_CHAT ON OLLAMA MCP SERVER DOES

// THE RISK

// HOW TO CONTROL OLLAMA_CHAT

// EXPLORE