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semble

Fast and Accurate Code Search for Agents. Uses 99% fewer tokens than grep+read

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python/uvpythonmakePythonretrievalmodel-context-protocolmcp-servermcpembeddingscode-searchagents

semble is an MCP server from Minish Lab that provides fast, accurate code search for agents. It uses embeddings-based retrieval and claims to use 99% fewer tokens than a grep-plus-read workflow.

Reach for it when an agent needs to find relevant code in a repository without burning tokens on broad grep output and full file reads.

Use it to

  • Wire code search into an agent via MCP
  • Replace grep+read loops with semantic retrieval
  • Locate relevant code snippets in large codebases
  • Reduce token usage in coding agent workflows

For Developers building coding agents that search codebases

Role
mcp-server
Language
Python
Licence
MIT
Forks
268
Open issues
3
Last push
2026-09-12
Latest release
v0.1.0 · 2026-04-26
topicscode-searchembeddingsmcp-serveragentsretrievalpython