Multi-repo semantic code search MCP server with hybrid vector+BM25 retrieval, fully offline.
codesearch is worth checking the docs before setup with strong trust signals. Check agent compatibility and use-case fit before adding it to your workflow.
gh repo view flupkede/codesearch --webOpen the official README and confirm the supported install method.
Add the server entry to your MCP client config.
Restart your agent and verify that the server tools appear.
codesearch is a tool that helps AI agents search and understand code across multiple repositories at once. It uses both semantic meaning and exact text matching to find relevant code, and it runs entirely on your machine without needing internet or a GPU. You can index your code once and then ask questions like 'find the function that handles authentication' or 'show me all usages of this class'.
codesearch is a Rust-based MCP (Model Context Protocol) server that provides multi-repository semantic code search for AI agents. It combines vector embeddings (ANN) with BM25 full-text search using Reciprocal Rank Fusion (RRF) for hybrid retrieval. Key features include: multi-repo serve mode with cross-repo RRF ranking, symbol navigation (definitions, usages, imports, dependents), AST-aware chunking via tree-sitter for 15 languages, token-efficient responses (compact by default, full code fetched on demand), and a lightweight footprint (hundreds of MB on disk, CPU-only, no Docker). It offers 6 MCP tools: search (semantic or literal), find (symbol navigation), explore (outline or similar), get_chunk (retrieve full code), find_impact (C# impact analysis via SCIP), and status. Designed for enterprise/offline use, it requires no runtime model downloads and works behind proxies. Indexing is zero-config for single repos: just run 'codesearch index && codesearch mcp'.
Strong trust signals; still review the README and permissions before production use.
Last commit was about 1 days ago.
38 GitHub stars indicate community interest.
0 open issues signal maintenance load.
Apache-2.0 license detected.
AI agents searching for relevant code across multiple repositories simultaneously
Developers finding function definitions, usages, and dependencies in large codebases
Impact analysis for C# code changes using SCIP symbol indexing
Offline code exploration without internet or GPU requirements
Integrating semantic code search into IDEs like Cursor or Claude Code via MCP
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Local codebase intelligence CLI and MCP server for AI coding agents with change-safety gates and audit evidence.
An offline MCP server that indexes your codebase for semantic search, code search, and git history retrieval.
Official MCP reference servers from Anthropic. Includes servers for filesystem, GitHub, Postgres, Slack, and more.
0 security/trust notes recorded.
Setup difficulty is 3/5.