Integrations·AI & ML
DeepSeek + OpenClaw
Give your autonomous agents a live connection to DeepSeek: managed, secure, and ready in minutes.
DeepSeek offers AI-powered chat, search, and language model services. On Molted, your OpenClaw agents connect to DeepSeek 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 DeepSeek, autonomously and within the guardrails you set.
Available actions
4 ready-to-use DeepSeek actions.
Your OpenClaw agents can call any of these DeepSeek actions directly through Molted's managed MCP layer. No wrappers, no boilerplate.
DEEPSEEK_CREATE_ANTHROPIC_MESSAGE
Create Anthropic Message
Tool to create a model response using DeepSeek's Anthropic-compatible API format with support for system prompts, tool calling, streaming, and thinking mode…
DEEPSEEK_CREATE_CHAT_COMPLETION
Create Chat Completion
Tool to create a chat completion using DeepSeek models (deepseek-chat or deepseek-reasoner). Use when you need to generate AI responses to chat conversations…
DEEPSEEK_GET_USER_BALANCE
Get User Balance
Tool to get user's current account balance including granted and topped-up balances with detailed breakdown by currency (CNY or USD). Use when you need to…
DEEPSEEK_LIST_MODELS
List Models
Tool to list currently available DeepSeek models and provides basic information about each one such as the owner and availability. Use when you need to…
How the connection works
Connect once. The agent acts.
DeepSeek 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
The agent requests access
Your OpenClaw agent asks for DeepSeek when a task needs it.
02
You approve the connection
Authorize DeepSeek once (API key). Credentials are encrypted at rest and scoped to what you allow.
03
The agent acts
It reads and writes to DeepSeek autonomously, inside your guardrails, with full audit and revocable access.
FAQ
DeepSeek on Molted, answered.
Q.01
Can OpenClaw agents use DeepSeek on Molted?
Yes. DeepSeek 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 DeepSeek straight away, with no integration code to write or maintain.
Q.02
How do I connect DeepSeek to my agent?
DeepSeek connects with an API key you provide once; it is encrypted at rest and never shipped inside the agent's pod.
Q.03
What can an agent actually do with DeepSeek?
Within the permissions you grant, an agent can call models, run inference, and chain AI capabilities. With DeepSeek, your agent can chain multiple AI capabilities into a single autonomous pipeline.
Q.04
Is my DeepSeek data and credentials secure?
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 DeepSeek access at any time.
Q.05
Do I have to run any infrastructure to use DeepSeek?
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 DeepSeek is a configuration step, not an engineering project.
Q.06
Can several agents share one DeepSeek connection?
Each instance gets its own isolated, scoped DeepSeek connection by default, so agents stay separated. You decide which agents may reach DeepSeek and with which permissions.
Ship agents that use DeepSeek, not infrastructure.
Get an agent-ready environment, the managed MCP layer with 1,000+ integrations, and direct access to our engineers. Onboarding within days.