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 sidharthrajaram · MCP Server · ★ 301
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is mcp-sse safe to install? View the security audit →
SSE-based Server and Client for MCP This demonstrates a working pattern for SSE-based MCP servers and standalone MCP clients that use tools from them. Based on an original discussion here. Usage Note: Make sure to supply in or as an environment variable. Why? This means the MCP server can now be some running process that agents (clients) connect to, use, and disconnect from whenever and wherever they want. In other words, an SSE-based server and clients can be decoupled processes (potentially even
| Stars | 301 |
| Forks | 53 |
| Language | Python |
| Category | MCP Server |
| Quality Score | 72.7666175276244/100 |
| Open Issues | 9 |
| Last Updated | 2025-03-06 |
| Created | 2025-01-27 |
| Platforms | cli, mcp, python |
| Est. Tokens | ~1k |
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mcp-sse is A working pattern for SSE-based MCP clients and servers. It is categorized as a MCP Server with 301 GitHub stars.
mcp-sse is primarily written in Python. It covers topics such as agents, llm, mcp.
You can find installation instructions and usage details in the mcp-sse GitHub repository at github.com/sidharthrajaram/mcp-sse. The project has 301 stars and 53 forks, indicating an active community.
The top alternatives to mcp-sse on Agent Skills Hub include awesome-hacking-lists, nerve, flow-like. 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: