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 MinishLab · MCP Server · ★ 6.0k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is semble safe to install? View the security audit →
Fast and Accurate Code Search for Agents Quickstart • Main Features • MCP Server • How it works • Benchmarks Semble is a code search library built for agents. It returns the exact code snippets they need instantly, cutting both token usage and waiting time on every step. Indexing and searching a full codebase end-to-end takes under a second, with 200x faster indexing and 10x faster queries than a code-specialized transformer, at 99% of its retrieval quality (see benchmarks). Everything runs on CPU with no API keys, GPU, or external services. Run it as an MCP server and any agent (Claude Code, Cursor, Codex, OpenCode, etc.) gets instant access to any repo, cloned and indexed o
| Stars | 5,953 |
| Forks | 257 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 73.3515872207022/100 |
| Open Issues | 1 |
| Last Updated | 2026-08-26 |
| Created | 2026-04-06 |
| Platforms | mcp, python |
| Est. Tokens | ~15k |
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semble is Fast and Accurate Code Search for Agents. Uses 99% fewer tokens than grep+read. It is categorized as a MCP Server with 6.0k GitHub stars.
semble is primarily written in Python. It covers topics such as agents, code-search, embeddings.
You can find installation instructions and usage details in the semble GitHub repository at github.com/MinishLab/semble. The project has 6.0k stars and 257 forks, indicating an active community.
semble is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to semble on Agent Skills Hub include exa-mcp-server, fastmcp, mcp-for-beginners. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.