DeepSeek MCP Server
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
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 |
|---|---|
| deepseek_chatA | Send a prompt to DeepSeek and return the AI response. Supports three modes: quick (default, with search+upload), expert (reasoning-focused), vision (image analysis). All modes support DeepThink reasoning. |
| deepseek_code_reviewA | Send code to DeepSeek for review and receive analysis of potential bugs, performance issues, and improvement suggestions. |
| deepseek_evaluate_ideaA | Evaluate a technical idea or research proposal for innovation, feasibility, and potential impact. |
| deepseek_explainA | Get a clear explanation of a concept, code snippet, or text at a specified difficulty level. |
| deepseek_summarizeA | Summarize long text into key points, with an optional maximum length constraint. |
| deepseek_debugB | Analyse an error message and related code to suggest likely causes and fixes. |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
TDQS
Scored across 6 tools
Most tools have clearly distinct purposes: chat, code review, idea evaluation, explanation, summarization, and debugging. However, deepseek_chat is a general-purpose tool that could theoretically handle explain/summarize/debug tasks, creating mild overlap with the specialized tools.
All tools share the consistent deepseek_ prefix and use lowercase snake_case, making the set feel cohesive. The pattern is mostly verb-based (chat, evaluate, explain, summarize, debug), though deepseek_code_review is a noun phrase rather than a verb-action name.
Six tools is a well-scoped number for an AI assistant server. Each tool covers a distinct high-level capability without unnecessary bloat or obvious redundancy.
The tool surface covers the primary expected capabilities of a DeepSeek assistant: general chat, code review, debugging, explanation, summarization, and idea evaluation. Minor gaps exist (e.g., no dedicated translation or code generation tool), but these are workarounds via deepseek_chat.