DeepSeek integration
High-performance AI models optimized for chat, coding, and reasoning tasks. Access cost-effective language models with strong capabilities in code generation, mathematical reasoning, and multilingual conversations. Features fill-in-the-middle completion for code editing and competitive performance at lower costs.
Common DeepSeek use cases
- Monitoring API spending
- Discovering available models
- Building cost-effective chatbots
- Implementing code editor autocomplete
- Creating responsive chat UIs with typing indicators
- Implementing usage alerts
- Building intelligent code assistants
- Implementing dynamic model selection
- Implementing function-calling agents
- Building real-time conversational agents
What you can do with DeepSeek
Each of these is one operation on one endpoint, available both as a workflow step and as a tool an AI agent can call on its own. Nothing bundles several operations into one action, so what a run did stays readable afterwards.
Most endpoints run on the free plan. A few, mainly the ones that publish on your behalf, need a paid plan.
Chat, 2 operations
- POSTchat_completions
Generate conversational responses using DeepSeek models (deepseek-v4-flash or deepseek-v4-pro).
- POSTchat_completions_stream
Stream conversational responses in real-time for interactive experiences.
Completion, 1 operation
- POSTcompletions
Generate text completions with fill-in-the-middle support for code editing.
Model, 1 operation
- GETlist_models
Retrieve list of available DeepSeek models and their capabilities.
User, 1 operation
- GETget_user_balance
Check account balance and credit information for API usage.
Use DeepSeek from Claude Code, Cursor or Codex
Connect DeepSeek in LiveContext, create an API key in Settings, then add the LiveContext MCP server to your client. Its DeepSeek operations become tools the client can call, next to every other integration you connected.
claude mcp add --transport http livecontext https://livecontext.ai/mcp --header "X-API-Key: YOUR_API_KEY"[mcp_servers.livecontext]
url = "https://livecontext.ai/mcp"
[mcp_servers.livecontext.http_headers]
"X-API-Key" = "YOUR_API_KEY"{
"mcpServers": {
"livecontext": {
"type": "http",
"url": "https://livecontext.ai/mcp",
"headers": {
"X-API-Key": "YOUR_API_KEY"
}
}
}
}How to connect DeepSeek
Create your workspace
Sign up free. Nothing to install.
Connect DeepSeek once
Add your DeepSeek connection in Settings. Every tool from this integration reuses it, and secrets are encrypted at rest and visible only to you.
Describe the job in chat
The workflow builds itself in front of you and picks the endpoints it needs. Drag the steps yourself on the canvas whenever you would rather be explicit.
DeepSeek integration FAQ
- What can you do with the DeepSeek integration?
- LiveContext exposes 5 operations on DeepSeek, covering chat, completion, model and user. Common uses include Monitoring API spending, Discovering available models and Building cost-effective chatbots.
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