deepseek-mcp
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| DEEPSEEK_API_KEY | Yes | Required. Your DeepSeek API key. | |
| DEEPSEEK_MCP_LOG | No | Set to '1' to log call metadata to ~/.deepseek-mcp/calls.jsonl (no prompts logged). | |
| DEEPSEEK_BASE_URL | No | API base URL (change for proxy/compatible providers). | https://api.deepseek.com |
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 | {
"listChanged": false
} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| deepseekA | Fast, cheap task execution via DeepSeek V4 Flash (non-thinking mode). Best for: classification, summarization, JSON edits, table generation, template population, pattern-copy refactors, inbox triage. Not for: architecture decisions, judgment under ambiguity, security policy, client-facing final prose. Typical latency: 2-5s. Use |
| adviseA | Deep reasoning via DeepSeek V4 Pro with thinking mode enabled. Use when |
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 2 tools
The two tools have clearly distinct purposes: 'deepseek' for fast, cheap tasks and 'advise' for deep reasoning. Descriptions explicitly state when to use each, leaving no ambiguity.
The tool names follow no consistent pattern: 'deepseek' is a product name, while 'advise' is an imperative verb. They do not share a common structure, which could confuse agents expecting a uniform naming convention.
With only 2 tools, the server is well-scoped for its purpose of providing two complementary reasoning modes. The count is appropriate and not excessive or insufficient.
The server covers the full spectrum of reasoning needs: fast execution via 'deepseek' and deep reasoning via 'advise'. There are no obvious gaps in the tool surface for the stated domain.