DeepSeek-MCP
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| LOG_LEVEL | No | Log level | |
| MAX_RETRIES | No | Maximum retries | |
| DEEPSEEK_API_KEY | Yes | Your DeepSeek API key | |
| DEFAULT_PROVIDER | No | Default LLM provider | |
| DEEPSEEK_BASE_URL | No | Base URL for DeepSeek API | |
| DEFAULT_TIMEOUT_MS | No | Default timeout in milliseconds | |
| MAX_PARALLEL_TASKS | No | Maximum number of parallel tasks | |
| DEEPSEEK_REASONING_EFFORT | No | Reasoning effort level | |
| DEEPSEEK_DEFAULT_CHAT_MODEL | No | Default chat model | |
| DEEPSEEK_DEFAULT_REASONER_MODEL | No | Default reasoner model |
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Features and capabilities supported by this server
Protocol revision2025-11-25
| Capability | Details |
|---|---|
| tools | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| review_codeA | Review a single file or code snippet for bugs, quality, and best practices using DeepSeek |
| review_folderB | Review multiple files within a folder to analyze relationships and module code quality |
| review_projectC | Perform a comprehensive high-level project review utilizing DeepSeek Reasoner model |
| review_sqlB | Review SQL queries, table schemas, database migrations, and index performance |
| review_architectureA | Analyze system architecture, design patterns, scalability, and coupling bottlenecks using Reasoner LLM |
| review_securityA | Perform a deep cybersecurity audit focusing on OWASP vulnerabilities, secret leaks, and access control |
| review_performanceA | Identify performance bottlenecks, memory leaks, algorithmic complexity (Big O), and async I/O overhead |
| write_testsB | Generate high-coverage unit or integration tests for the provided code |
| generate_seedA | Generate realistic mock data / seed fixtures for database tables or API payloads |
| summarizeA | Summarize complex codebases, documentations, or technical specifications |
| documentationC | Generate clean technical Markdown documentation for APIs, classes, or modules |
| analyze_repositoryC | Analyze repository directory structure, key dependencies, and high-level architectural design |
| explain_codeB | Explain step-by-step how a specific complex piece of code works |
| refactor_codeB | Provide refactored version of code adhering to Clean Code, SOLID principles, and optimal patterns |
| generate_codeA | Generate a brand-new single file (Repository, Service, Controller, DTO, Entity, Validator, Middleware, Background Job, Migration, Stored Procedure, View, Interface, Extension, Configuration, etc.) from a specification using DeepSeek. Returns structured, saveable file content — never writes to disk itself. |
| generate_filesA | Generate several related files in one call (e.g. a full module: interface + implementation + DTOs + validators + mapper + controller). Returns structured, saveable file content — never writes to disk itself. |
| generate_sqlA | Generate SQL objects — stored procedures, views, functions, triggers, migrations, indexes — from a specification. Returns structured, saveable file content — never writes to disk itself. |
| generate_testsA | Generate a full, saveable test-suite (unit/integration/performance) as file(s) from a specification or existing code — distinct from write_tests, which returns inline review-style test code. Returns structured, saveable file content — never writes to disk itself. |
| generate_documentationA | Generate a full, saveable documentation set (README, API docs, architecture docs, Mermaid sequence diagrams) as file(s) — distinct from documentation, which returns inline Markdown for a single piece of content. Returns structured, saveable file content — never writes to disk itself. |
| generate_projectA | Generate a full project scaffold under a named architecture (Clean Architecture, Onion, Vertical Slice, Modular Monolith, Microservices, CQRS, Repository+UoW). Recommended for small-to-medium scaffolds in one call; for large projects call generate_files repeatedly per module instead of expecting one call to build an entire system. Returns structured, saveable file content — never writes to disk itself. |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
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