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 karanb192 · MCP Server · ★ 798
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is reddit-mcp-buddy safe to install? View the security audit →
Reddit MCP Buddy Reddit Browser for Claude Desktop and AI Assistants A Model Context Protocol (MCP) server that enables Claude Desktop and other AI assistants to browse Reddit, search posts, and analyze user activity. Clean, fast, and actually works - no API keys required. 🎬 See It In Action Claude checking Reddit's reaction to the Dune Part Three trailer and whether the AirPods Max 2 are worth $549 Claude analyzing real-time sentiment about H-1B visa changes across r/cscar
| Stars | 798 |
| Forks | 98 |
| Language | TypeScript |
| Category | MCP Server |
| License | MIT |
| Quality Score | 76.1870486149005/100 |
| Open Issues | 13 |
| Last Updated | 2026-08-17 |
| Created | 2025-09-14 |
| Platforms | claude-code, mcp, node |
| Est. Tokens | ~18k |
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reddit-mcp-buddy is Clean, LLM-optimized Reddit MCP server. Browse posts, search content, analyze users. No fluff, just Reddit data.. It is categorized as a MCP Server with 798 GitHub stars.
reddit-mcp-buddy is primarily written in TypeScript. It covers topics such as ai-assistant, claude, mcp.
You can find installation instructions and usage details in the reddit-mcp-buddy GitHub repository at github.com/karanb192/reddit-mcp-buddy. The project has 798 stars and 98 forks, indicating an active community.
reddit-mcp-buddy is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to reddit-mcp-buddy on Agent Skills Hub include claude-historian-mcp, linkedin-mcp-server, gemini-mcp-tool. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
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.
Sources & who's responsible: