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MCP Servers173 stars16 forksPythonMITUpdated today
Install in Claude Desktop
Method detected: Manual
{
  "mcpServers": {
    "semble": {
      "command": "node",
      "args": ["/path/to/semble/dist/index.js"]
    }
  }
}
1. Copy the snippet above.
2. Paste into ~/Library/Application Support/Claude/claude_desktop_config.json (Mac) or %APPDATA%\Claude\claude_desktop_config.json (Windows).
3. Replace any <placeholder> values with your API keys or paths.
4. Restart Claude Desktop. The MCP server appears automatically.
💡 Clone https://github.com/MinishLab/semble and follow its README for install instructions.
Use cases

MCP Servers overview

README preview not available. Visit the repo on GitHub for full documentation.
agentscode-searchembeddingsmcpmcp-servermodel-context-protocolretrieval

What people ask about semble

What is MinishLab/semble?

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MinishLab/semble is mcp servers for the Claude AI ecosystem. Fast and Accurate Code Search for Agents It has 173 GitHub stars and was last updated today.

How do I install semble?

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You can install semble by cloning the repository (https://github.com/MinishLab/semble) or following the README instructions on GitHub. ClaudeWave also provides quick install blocks on this page.

Is MinishLab/semble safe to use?

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MinishLab/semble has not been audited yet by our security agent. Review the original repository on GitHub before using it in production.

Who maintains MinishLab/semble?

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MinishLab/semble is maintained by MinishLab. The last recorded GitHub activity is from today, with 2 open issues.

Are there alternatives to semble?

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Yes. On ClaudeWave you can browse similar mcp servers at /categories/mcp, sorted by popularity or recent activity.

Deploy semble to your cloud

Ship this repo to production in minutes. Each platform spins up its own environment with editable env vars.

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