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Search local code with text, symbol, and semantic hybrid retrieval.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "code-index-mcp" yet — see the docs or source repo.
Search the current codebase for the definition, call sites, and related symbols of PaymentProcessor, then summarize them by file path.
Returns matching files, symbol locations, and a summary of the main usage points of the function or class across the codebase.
Find code in the repository that is semantically similar to 'an HTTP request wrapper with retry logic' and list the most relevant results.
Provides several semantically similar code snippets or files and explains how they match the query description.
Use text, symbol, and semantic search together to quickly map the key entry points, core types, and main logic files in the auth module.
Outputs a structured overview of the auth module, including entry files, important symbols, and related logic file clues.
When taking over a new project, developers can use text, symbol, and semantic search layers to quickly locate core modules, key types, and implementation entry points. This reduces the time spent manually browsing files.
Teams that do not want to rely on third-party services for code data can run this MCP server locally for code search. It fits scenarios that prioritize local execution and self-managed infrastructure.
When connected to an MCP-capable AI assistant, it can provide more reliable repository context for code questions. It is especially useful for questions that need both symbol and semantic information.
It is a self-hosted code search MCP server with hybrid text, symbol, and semantic retrieval layers. The description says it runs locally and does not depend on third-party MCP servers, LSP, or SaaS.
The provided material does not include installation or startup steps. For exact commands, dependencies, and configuration, see the source repository.
The known difference is that it emphasizes local execution and self-hosting, without relying on third-party MCP servers, LSP, or SaaS. For more architectural details and capability boundaries, see the source repository.
Search indexed local codebases, find symbols, and read relevant code chunks fast.
Retrieve and understand code faster with hybrid RAG search across repositories.
Analyze codebases with semantic search, dependency insights, and natural language Q&A.
Search indexed local source code fast with regex and substring queries.
Index, search, analyze, and monitor codebases for faster understanding and troubleshooting.
Semantically search and analyze multilingual code with AST-aware insights.