deepseek-mcp: A tiny MCP stdio server that exposes DeepSeek as a cheap supervised worker for Claude Code, Codex, or any MCP

by arizen-dev · MCP Server · ★ 53

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How to install deepseek-mcp

pip install "git+https://github.com/arizen-dev/deepseek-mcp.git"
git clone https://github.com/arizen-dev/deepseek-mcp.git

Taken from the project's README on GitHub.

Security audit verdict: SAFE · quality 76/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours.

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

ai-toolsclaude-codecodexdeepseekdeepseek-apillmmcpmodel-context-protocolopenai-compatiblestdio-server

Quick Facts

Stars53
Forks6
LanguagePython
CategoryMCP Server
LicenseMIT
Quality Score76/100
Open Issues1
Last Updated2026-10-15
Created2026-04-30
Platformsclaude-code, cli, codex, mcp, python
Est. Tokens~5k

About deepseek-mcp

deepseek-mcp Use DeepSeek from Claude Code, Codex, or any MCP-compatible client as a small, cheap supervised worker. is a tiny stdio MCP server with two tools: It is built for bounded tasks where another model can reduce mechanical load: classify inboxes, tickets, logs, notes, or docs; summarize packets; turn messy text into JSON or tables; populate templates; generate first-pass mechanical...

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. 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.

Sources & who's responsible:

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