Integrations·AI & ML
Give your autonomous agents a live connection to Ollama: managed, secure, and ready in minutes.
Ollama lets you run large language models locally or in the cloud. On Molted, your OpenClaw agents connect to Ollama through the managed MCP integration layer, with no glue code, no servers to run, and no credentials baked into containers. The agent can call models, run inference, and chain AI capabilities for Ollama, autonomously and within the guardrails you set.
Available actions
Your OpenClaw agents can call any of these Ollama actions directly through Molted's managed MCP layer. No wrappers, no boilerplate.
OLLAMA_CHAT
Tool to send a chat message with conversation history to Ollama. Use when you need to have a multi-turn conversation with an LLM model.
OLLAMA_GENERATE
Tool to generate text responses from Ollama models with optional raw mode. Use raw=true to bypass prompt templating when you need full control over the prompt…
OLLAMA_LIST_MODELS
Tool to list all available Ollama models and their details. Use when you need to fetch installed models with metadata including name, size, last modified…
OLLAMA_OPEN_AI_CHAT_COMPLETIONS
Tool to create OpenAI-compatible chat completions using Ollama models. Use when you need conversational AI responses with OpenAI API format compatibility.
OLLAMA_OPEN_AI_COMPLETIONS
Tool to create OpenAI-compatible text completions using Ollama models. Use when you need text generation with OpenAI API format compatibility beyond chat-based…
OLLAMA_OPEN_AI_LIST_MODELS
Tool to list available models using OpenAI-compatible API format. Use when you need to retrieve locally available Ollama models with metadata following…
OLLAMA_SHOW
Tool to show comprehensive information about an Ollama model. Use when you need to retrieve model details, parameters, template, license, or system prompt.
OLLAMA_VERSION
Tool to get the version of Ollama running locally. Use to check which version of Ollama is currently installed.
How the connection works
Ollama connects with an API key you provide once; it is encrypted at rest and never shipped inside the agent's pod. Everything runs through Molted's managed MCP layer, so there is no integration code to write and nothing to keep running.
01
Your OpenClaw agent asks for Ollama when a task needs it.
02
Authorize Ollama once (API key). Credentials are encrypted at rest and scoped to what you allow.
03
It reads and writes to Ollama autonomously, inside your guardrails, with full audit and revocable access.
FAQ
Q.01
Yes. Ollama is one of 1,000+ apps available through Molted's managed MCP integration layer. Your agent requests access, you approve the connection, and it can act on Ollama straight away, with no integration code to write or maintain.
Q.02
Ollama connects with an API key you provide once; it is encrypted at rest and never shipped inside the agent's pod.
Q.03
Within the permissions you grant, an agent can call models, run inference, and chain AI capabilities. With Ollama, your agent can call models for generation, classification or extraction inside a workflow.
Q.04
Yes. Molted never bakes credentials into the agent's pod: every connection is brokered through the managed integration layer, secrets are encrypted at rest, and access stays scoped to what you approve. You can revoke Ollama access at any time.
Q.05
No. Molted is the managed operating environment for autonomous agents: compute, the MCP layer, browser automation and self-healing are all handled for you. Connecting Ollama is a configuration step, not an engineering project.
Q.06
Each instance gets its own isolated, scoped Ollama connection by default, so agents stay separated. You decide which agents may reach Ollama and with which permissions.
Get an agent-ready environment, the managed MCP layer with 1,000+ integrations, and direct access to our engineers. Onboarding within days.