No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by HarshJ23 · MCP Server · ★ 51
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is deepseek-claude-MCP-server safe to install? View the security audit →
DeepSeek-Claude MCP Server Enhance Claude's reasoning capabilities with the integration of DeepSeek R1's advanced reasoning engine. This server enables Claude to tackle complex reasoning tasks by leveraging the reasoning capabilites of deepseek r1 model. 🚀 Features Advanced Reasoning Capabilities Seamlessly integrates DeepSeek R1's reasoning with Claude. Supports intricate multi-step reasoning tasks. Designed for precision and efficiency in generating thoughtful responses. Complete Setup guide Installing via Smithery To install DeepSeek-Claude for Claude Desktop automatically via Smithery: Prerequisites Python 3.12 or higher package manager DeepSeek API key (Sign up at DeepSeek Platform) Clone the Repository Ensure UV is Set Up Windows: Run the fol
| Stars | 51 |
| Forks | 15 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 71.4208147426626/100 |
| Open Issues | 2 |
| Last Updated | 2025-01-29 |
| Created | 2025-01-27 |
| Platforms | claude-code, mcp, python |
| Est. Tokens | ~20k |
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deepseek-claude-MCP-server is a MCP server which integrates reasoning capabilities of DeepSeek R1 model into claude desktop app.. It is categorized as a MCP Server with 51 GitHub stars.
deepseek-claude-MCP-server is primarily written in Python.
You can find installation instructions and usage details in the deepseek-claude-MCP-server GitHub repository at github.com/HarshJ23/deepseek-claude-MCP-server. The project has 51 stars and 15 forks, indicating an active community.
deepseek-claude-MCP-server is released under the MIT license, making it free to use and modify according to the license terms.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
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