DeepSeek Connector for AI agents.
6 live capabilities
Execute high-performance reasoning and code generation tasks.
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Why people use DeepSeek
DeepSeek for High-Performance Code Generation
This Connector puts those capabilities directly into your agent. You can run complex code generation and reasoning tasks without ever leaving your workspace. You get your results instantly, and your agent handles the heavy lifting of model selection and logic processing.
What Vinkius changes
You get a unified way to use DeepSeek's best models and manage your account from one place.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 5,900+ Connectors
- Real-world use case 01
Solving a complex algorithm
An engineer asks the agent to solve a nested loop problem.
- Real-world use case 02
Budget tracking
A product lead wants to know if they can afford another batch of requests.
- Real-world use case 03
Model selection
A researcher needs to know which model has the best specs for a specific task.
Complete set · 6capabilities
The complete DeepSeek capability set.
These are the exact actions your AI can choose when you ask it to work with DeepSeek.
01—03
3 capabilities in this set.
Part of 6 available through DeepSeek.
- 01 Capability
Chat prefix completion
Guide the model's response style. This helps set the tone for the output.
- 02 Capability
Chat completion
Generate an AI response. Use this for standard chat or creative writing tasks.
- 03 Capability
Deep reasoning
Execute advanced logic reasoning. This capability includes the internal thinking process for complex problems.
04—06
3 capabilities in this set.
Part of 6 available through DeepSeek.
- 04 Capability
Fill in middle
Ideal for code completion tasks. Complete code between a prefix and suffix (Beta)
- 05 Capability
Get balance
Get account balance. Use this to see exactly how much credit you have left.
- 06 Capability
List models
List available models. This gives you a directory of every model you can access.
Set up in minutes
One URL. Then ask DeepSeek to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use DeepSeek from the conversation.
Choose your client
Live previewAdvanced clients IDE · CLI
Claude · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_LNCxuYTkvZ8C46WKMphB8I0CtAJzXEkdzYfBUU6C/mcp - Step 01
Open Connectors
In Claude Web or Claude Desktop, open Settings and choose Connectors.
- Step 02
Add the URL
Choose Add custom connector, name it DeepSeek, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable DeepSeek for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_LNCxuYTkvZ8C46WKMphB8I0CtAJzXEkdzYfBUU6C/mcp - Step 01
Open MCP settings
On desktop, open Settings and MCP servers. On web, open your workspace app or connector settings.
- Step 02
Add the URL
Choose Add server with Streamable HTTP, or create a custom MCP app, then paste the DeepSeek URL.
- Step 03
Save and start
Save the connection and enable DeepSeek in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"deepseek": {
"url": "https://edge.vinkius.com/vk_preview_LNCxuYTkvZ8C46WKMphB8I0CtAJzXEkdzYfBUU6C/mcp"
}
}
} - Step 01
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
- Step 02
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
- Step 03
Save the file
Cursor will automatically detect the new Connector
- Step 04
Start using DeepSeek
Open Agent mode in chat and ask: "Using DeepSeek, help me...". 6 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"deepseek": {
"url": "https://edge.vinkius.com/vk_preview_LNCxuYTkvZ8C46WKMphB8I0CtAJzXEkdzYfBUU6C/mcp"
}
}
} - Step 01
Create MCP config
Create a .vscode/mcp.json file in your project root
- Step 02
Add the server config
Paste the JSON configuration above
- Step 03
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
- Step 04
Start using DeepSeek
Ask Copilot: "Using DeepSeek, help me...". 6 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"deepseek": {
"url": "https://edge.vinkius.com/vk_preview_LNCxuYTkvZ8C46WKMphB8I0CtAJzXEkdzYfBUU6C/mcp"
}
}
} - Step 01
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
- Step 02
Add the server
Paste the JSON configuration above into mcp_config.json
- Step 03
Save and reload
Windsurf will detect the new server automatically
- Step 04
Start using DeepSeek
Open Cascade and ask: "Using DeepSeek, help me...". 6 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"deepseek": {
"url": "https://edge.vinkius.com/vk_preview_LNCxuYTkvZ8C46WKMphB8I0CtAJzXEkdzYfBUU6C/mcp"
}
}
} - Step 01
Open Cline MCP Settings
Click the Connectors icon in the Cline sidebar panel
- Step 02
Add remote server
Click "Add Connector" and paste the configuration above
- Step 03
Enable the server
Toggle the server switch to ON
- Step 04
Start using DeepSeek
Ask Cline: "Using DeepSeek, help me...". 6 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add deepseek --transport http "https://edge.vinkius.com/vk_preview_LNCxuYTkvZ8C46WKMphB8I0CtAJzXEkdzYfBUU6C/mcp" - Step 01
Install Claude Code
Run npm install -g @anthropic-ai/claude-code if not already installed
- Step 02
Add the Connector
Run the command above in your terminal
- Step 03
Verify the connection
Run claude mcp to list connected servers, or type /mcp inside a session
- Step 04
Start using DeepSeek
Ask Claude: "Using DeepSeek, show me...". 6 tools are ready
Where the request belongs
Work DeepSeek can move forward.
This is for developers who need heavy-duty reasoning without the high price tag, or researchers who need to monitor token costs across multiple projects.
Software Engineer
Solves algorithmic puzzles and generates complex code blocks during a sprint.
Data Scientist
Automates deep reasoning tasks while keeping a close eye on token consumption.
Product Lead
Integrates low-cost, high-intelligence models into custom internal capabilities.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
Browse ConnectorsMistral AI
Build with European open-weight language models that deliver strong reasoning, multilingual capability, and efficient inference.
NVIDIA AI
Access LLMs, embeddings, code generation, and reasoning via NVIDIA API Catalog.
Braintrust
Automate AI evaluations with Braintrust. organize projects, test model datasets, run benchmarks, and manage prompts via any AI agent.
Eden AI
Access 100+ AI models through a single API. route LLMs, generate embeddings, and execute specialized AI tasks like OCR and translation.
First Principles Prover
LLMs reason by analogy, copying industry norms. This engine is a 6-pivot cognitive trap that forces the agent to discard jargon and derive original solutions exclusively from physical, mathematical, or logical axioms.
Together AI
Generate code, evaluate embeddings, and deploy open-source LLMs instantly from your local agent via Together AI's infrastructure.
Bring your own AI
Change the model, client or framework. Keep DeepSeek connected.
-
Claude -
ChatGPT -
Gemini -
Cursor -
VS Code -
Windsurf -
ZCode -
Cline -
Zed -
Continue -
Kiro -
Roo Code -
Zencoder -
Goose -
Void -
Augment Code -
Amp -
Qodo -
Tabnine -
Pieces -
Sourcegraph Cody -
JetBrains -
Warp -
Amazon Q -
Antigravity -
BoltAI -
Raycast -
Jan -
LM Studio -
AnythingLLM -
Open WebUI -
Msty -
Cherry Studio -
LibreChat -
TypingMind -
Chorus -
5ire -
n8n -
LangChain -
LlamaIndex -
CrewAI -
Vercel AI SDK
Before you connect
Questions about DeepSeek.
The practical details behind the request, access and result.
How does the DeepSeek MCP help with coding?
It connects your agent to high-performance models specifically tuned for code generation and complex logic. You can ask it to write functions or solve algorithmic problems directly in your workspace.
Can I use DeepSeek MCP to track my API spending?
Yes. You can ask your agent to check your balance and billing details at any time. It keeps your token usage visible so you can stay on budget without leaving your chat.
What is the difference between the chat and reasoning models in DeepSeek MCP?
The chat model is built for high-fidelity text and general tasks. The reasoning model is designed for step-by-step thinking on hard math and logic problems.
Is the DeepSeek MCP good for large-scale data tasks?
It's excellent for tasks requiring deep reasoning and complex problem-solving. It also allows you to monitor your token usage to manage costs for larger jobs.
Do I need to switch models manually to use DeepSeek MCP?
No. Your agent can choose the right capability based on your request. If you ask for a logic solution, it can use the reasoning model; for general chat, it uses the chat model.
How do I get my API keys for the DeepSeek MCP?
You just need to grab your key from the DeepSeek Platform settings. Once you have it, you can plug it into your agent via the Vinkius catalog.
How do I find my DeepSeek API Key?
Log in to your DeepSeek Platform dashboard, navigate to API Keys, and generate or copy your secret token.
What is the difference between V3 and Reasoner?
V3 is a general-purpose model for chat and writing, while Reasoner uses a thinking process for complex math, coding, and logic.
Is the API compatible with OpenAI SDKs?
Yes! DeepSeek provides an OpenAI-compatible endpoint, making it easy to integrate into existing capabilities and workflows.
One connection away
Give your agent a direct line to DeepSeek.
Connect DeepSeek once. Keep it beside 5,900+ managed Connectors when the next task needs more.
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