Deepseek Vision MCP vs Harness
Deepseek Vision MCP and Harness are both ai and llm tools MCP servers. Harness scores higher (95 vs 45 out of 100). Harness has more GitHub stars (1.3k), and Harness was updated more recently (4 days ago). The table compares them side by side.
| Deepseek Vision MCP | Harness | |
|---|---|---|
| Score | 45 / 100 | 95 / 100 |
| What it does | MCP server that calls the Gemini vision model (default gemini-3.5-flash) to analyze images. | Start Claude Code and Codex agents the person can watch, wait for them and read their answers. |
| Publisher | Verified: npm:@ariesli | Verified: harness.autonomous.ai |
| Grades | Maintenance B, Licence A, Quality C | Maintenance A, Licence A, Quality A |
| npm downloads a week | 5 | Not on npm |
| Runs | Local | Local |
| Works with | Claude Code, Claude Desktop, Cursor, Codex, Gemini CLI, VS Code, Windsurf | Claude Code, Claude Desktop, Cursor, Codex, Gemini CLI, VS Code, Windsurf |
| GitHub stars | 0 | 1,320 |
| Last commit | 11 Aug 2026 | 19 Oct 2026 |
| Licence | MIT | MIT |
| Listed since | 20 Oct 2026 | 19 Oct 2026 |
| Install Deepseek Vision MCP | Install Harness |
Questions
Is Deepseek Vision MCP or Harness more popular?
Harness has more GitHub stars: 1,320.
Can I use Deepseek Vision MCP and Harness together?
Yes. AI assistants can load several MCP servers at once. Install both and the assistant picks the right one for each task.