# DeepSeek MCP > DeepSeek MCP connects your agent to powerful, open-weight language models for complex reasoning and code generation. It lets you programmatically manage everything from model listings and token usage to deep algorithmic problem solving using dedicated tools. ## Overview - **Category:** ai-frontier - **Price:** Free - **Tags:** llm, reasoning-model, code-generation, problem-solving, ai-inference, natural-language ## Description This connector gives your AI client direct access to DeepSeek's full suite of capabilities, making it a central point for high-performance development workflows. You can move beyond simple chat queries; instead, you control the reasoning process itself. Need to solve a complex math problem? Use the specialized reasoner model. Want to build an agent that monitors costs? Check your account balance and usage stats directly through dedicated tools. It's designed for developers who need full visibility into their AI stack without juggling multiple vendor dashboards. When you connect this MCP via Vinkius, your agent acts as a dedicated coordinator—it handles the logic, manages model selection, and keeps track of billing, all from one place. ## Tools ### chat_prefix_completion Directs or guides the model's output by providing an initial text fragment. ### chat_completion Generates a standard AI response based on your input prompt. ### deep_reasoning Executes advanced logic reasoning, including a documented internal thinking process for complex tasks. ### check_api_status Checks the current operational health status of the DeepSeek API. ### get_account_info Retrieves general profile information about the connected account. ### get_balance Checks and returns your current available credit balance for AI usage. ### get_billing_details Retrieves detailed metadata related to your billing structure and costs. ### get_model_details Pulls specific technical metadata about a named model. ### get_token_usage Gets specific statistics on how many tokens you've consumed recently. ### list_models Provides a directory of all DeepSeek models currently available for use. ### list_request_history Retrieves a log of your previous requests and their outcomes. ### list_api_tokens Lists all active API tokens associated with the account. ## Prompt Examples **Prompt:** ``` Solve this logic puzzle using Reasoner: 'If all A are B and some B are C, is every A a C?'. ``` **Response:** ``` Reasoning triggered... I've analyzed the syllogism. The answer is 'Not necessarily'. I've documented the step-by-step thinking process showing that the link between A and C is not guaranteed. ``` **Prompt:** ``` Check my current DeepSeek credit balance. ``` **Response:** ``` Scanning account... Your current balance is $15.42. Your recent token usage is within limits and your API key is active. Would you like to see the breakdown of recent requests? ``` **Prompt:** ``` List all available AI models on the DeepSeek platform. ``` **Response:** ``` I've retrieved the available models. You have access to: 'deepseek-chat' (V3) and 'deepseek-reasoner'. Which one would you like to use for your next query? ``` ## Capabilities ### Solve complex logical puzzles The system runs advanced step-by-step reasoning processes to solve difficult algorithmic or mathematical problems. ### Generate high-fidelity text and code It generates responses for general conversation, creative writing, or structured code based on your prompt. ### Manage billing visibility The agent can check your current credit balance, view usage history, and retrieve detailed billing metadata. ### Discover available models You can pull a complete list of all DeepSeek models and their specific technical details directly into your workflow. ## Use Cases ### Solving a complex math problem A data scientist encounters a difficult logic puzzle. Instead of just asking for an answer, they instruct their agent to use the `deep_reasoning` tool. The agent solves the puzzle and provides a full breakdown of its step-by-step thinking process. ### Checking project budget compliance A product lead needs to know if they can afford another large batch job. They ask their agent to run `get_balance` first, confirming funds are available before initiating the resource-intensive task. ### Developing a reliable integration pipeline An ML Ops specialist is setting up a new workflow and needs to ensure the connection is solid. They use `check_api_status` and then run `list_models` to confirm all necessary dependencies are available. ### Debugging model selection A developer gets an error about a missing model name. They immediately call the `list_models` tool, confirming the correct identifier is 'deepseek-v3' and updating their code instantly. ## Benefits - You don't have to guess if your API is working. Use `check_api_status` to verify health before running a heavy job, saving you time and preventing failed runs. - Keep billing costs under control by checking usage stats via `get_token_usage`. This lets your agent warn you about high consumption rates proactively. - Need to know what models exist? The `list_models` tool gives your agent the current directory of all DeepSeek options, so you never use an outdated model name. - The advanced `deep_reasoning` tool handles complex logic puzzles and algorithmic thinking. It doesn't just give an answer; it shows its work step-by-step. - Manage development overhead by using `get_billing_details`. This provides operational oversight, letting you track your spend against project budgets. - You can get basic account status (`get_account_info`) and see if the API key is active with `list_api_tokens` before starting any work. ## How It Works The bottom line is you get one endpoint for all of DeepSeek's logic and management features, instead of dealing with multiple API calls. 1. Subscribe to this MCP and grab your API Key from the DeepSeek Platform settings. 2. Connect your agent; it validates the key and establishes a connection with the DeepSeek models. 3. Your AI client can then invoke specific tools, like checking account info or running deep reasoning tasks. ## Frequently Asked Questions **How do I check my credit balance using DeepSeek MCP?** You run the `get_balance` tool. This instantly retrieves your current account credit, so you know if the agent has enough funds before it starts processing a job. **Can I list all DeepSeek models with the DeepSeek MCP?** Yes, use `list_models`. It provides a full directory of every available model and its technical specifications in one call. **What is the difference between chat_completion and deep_reasoning?** Chat completion handles general conversation. Deep reasoning uses advanced logic to solve complex, multi-step problems and shows you how it got the answer. **Do I need to worry about billing when using DeepSeek MCP?** No. You can use `get_token_usage` to monitor token consumption in real time and retrieve detailed billing metadata with `get_billing_details`. **How do I use `list_api_tokens` to manage my DeepSeek API security?** This tool lists all active tokens linked to your account. It lets you quickly audit and identify old or unused credentials, which is critical for maintaining a secure development environment. **If I encounter an error during a call, how does `check_api_status` help me diagnose the issue?** It immediately verifies the current operational health of the DeepSeek platform. Running this tool confirms whether your problem is local or if the service itself is experiencing an outage. **Can I use `list_request_history` to review my past AI interactions?** Yes, this tool provides a full log of your recent API calls. You can track inputs and outputs across different sessions to debug complex workflows or verify specific results. **What essential profile details does `get_account_info` retrieve about my DeepSeek account?** It pulls core data, including unique identifiers and basic usage limits. This is helpful when you need to integrate the MCP into a custom client workflow that requires specific user metadata. **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 tools and workflows.