MCP server for DeepSeek V4 (v4-flash, v4-pro, 1M context): chat, reasoning, function calling, thinking mode, cost tracking. deepseek-chat/reasoner
MCP server for DeepSeek V4 (v4-flash, v4-pro, 1M context): chat, reasoning, function calling, thinking mode, cost tracking. deepseek-chat/reasoner aliases supported. That is what the deepseek mcp server brings to an AI assistant: the same capability, reachable through the Model Context Protocol rather than a separate app or dashboard.
The server publishes 5 tools. What each one is for:
Prerequisites — The Prerequisites tool exposed by this serverdeepseek_chat — Chat with DeepSeek AI models with automatic cost tracking and function calling supportdeepseek_fim — Fill-in-the-Middle completion. You give a prompt (the prefix) and an optional suffix, and the model completes the text in between. It is built fordeepseek_sessions — The deepseek_sessions tool exposed by this serverAdvanced — The Advanced tool exposed by this serverBecause this one is hosted, setup is mostly authentication — you point your client at the endpoint and approve access. Nothing runs on your machine, so there is no runtime to keep patched.
Configuration is passed through the environment: DEEPSEEK_API_KEY, YOUR_DEEPSEEK_API_KEY, DEEPSEEK_BASE_URL. Treat anything key-shaped as a real credential — scope it to the minimum the server needs, and rotate it if it ever lands in a shared config.
Among the AI and media services options, the useful question is rarely "what can it do" but "what does it cost you to run" — permissions, credentials, and how much of your context its toolset consumes. Deepseek's toolset — Prerequisites, deepseek_chat, deepseek_fim and 2 more — is a fair guide to whether it matches your workflow. It is maintained by arikusi; worth a glance at recent repository activity before you build anything load-bearing on it.
This entry was verified against Deepseek's own documentation before publication; SyncDev keeps the directory reviewed rather than auto-generated.
| Tool | What it does |
|---|---|
| Prerequisites | The Prerequisites tool exposed by this server. |
| deepseek_chat | Chat with DeepSeek AI models with automatic cost tracking and function calling support. |
| deepseek_fim | Fill-in-the-Middle completion. You give a prompt (the prefix) and an optional suffix, and the model completes the text in between. It is built for code completion and content infilling rather than conversation. FIM runs |
| deepseek_sessions | The deepseek_sessions tool exposed by this server. |
| Advanced | The Advanced tool exposed by this server. |
**Cursor / Windsurf / VS Code:**
```json
{
"mcpServers": {
"deepseek": {
"url": "https://deepseek-mcp.tahirl.com/mcp",
"headers": {
"Authorization": "Bearer ${DEEPSEEK_API_KEY}"
}
}
}
}Configuration as documented by the project. Restart the client after saving.
| Variable | Description | Required |
|---|---|---|
| DEEPSEEK_API_KEY | Credential the server authenticates with. | Yes |
| YOUR_DEEPSEEK_API_KEY | Credential the server authenticates with. | Yes |
| DEEPSEEK_BASE_URL | Endpoint or connection string the server talks to. | Yes |
Build a programmable telecommunications stack for connecting telephony services with the Internet via a cloud-based utility.
Search built for AI, not humans — semantic web search that returns model-ready content, plus code context.
Answers, not links — delegate questions to Perplexity's search-grounded models and get cited responses back.
Give your assistant a voice — text-to-speech, voice cloning and audio tools from the ElevenLabs API.
Give your assistant a real code sandbox — isolated cloud VMs for actually running the code it writes.
The ML hub in your context window — search models, datasets, papers and run Spaces from the official server.