DeepSeek MCP Server
@chew-z
关于 DeepSeek MCP Server
Simple MCP server in Golang to redirect questions to Deepseek models
基本信息
配置
工具
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概览
What is DeepSeek MCP Server?
It is a production-grade MCP server that integrates with DeepSeek’s API to provide advanced code review, efficient file management, and API account management. It is designed for developers who need to interact with DeepSeek models through the Model Context Protocol.
How to use DeepSeek MCP Server?
Clone the repository, build with Go 1.21+, and start with environment variables DEEPSEEK_API_KEY and optionally DEEPSEEK_MODEL. Configure it as an MCP server in Claude Desktop using the provided JSON configuration.
Key features of DeepSeek MCP Server
- Multi-model support including DeepSeek Chat, Coder, and Reasoner
- Built-in system prompt for detailed code analysis with markdown output
- Automatic file handling with direct path integration
- API account management: check balance and estimate token usage
- JSON mode support for structured responses
- Configurable file type restrictions and size limits
- Performance monitoring with metrics collection
Use cases of DeepSeek MCP Server
- Code review and analysis by submitting file paths to the
deepseek_asktool - Automated token estimation for quota management
- Checking API account balance and availability
- Integrating DeepSeek AI into CI/CD pipelines using JSON mode
FAQ from DeepSeek MCP Server
What dependencies are required?
Go 1.21+, a DeepSeek API key, and a basic understanding of the MCP protocol.
Which models are supported by default?
deepseek-chat, deepseek-coder, and deepseek-reasoner. Additional models may be available based on API access level.
How are files handled in the server?
Files are read directly from specified local paths via the file_paths parameter in deepseek_ask, automatically determining MIME type and uploading content.
How do I authenticate with the DeepSeek API?
Set the DEEPSEEK_API_KEY environment variable to your DeepSeek API key. This is required.
What error handling and security measures are in place?
The server uses graceful degradation with structured error logging, automatic retries with configurable exponential backoff, and enters degraded mode on initialization errors. File content is validated by MIME type and size before processing.
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