Acemcp
Provides an MCP server for codebase indexing and semantic search, enabling AI models to understand and interact with project code.
About
Acemcp functions as an MCP server designed to empower AI tools with deep understanding of codebases. It automatically indexes project files, performing incremental updates to ensure search results are always current. Users can leverage natural language queries to perform semantic searches, retrieving relevant code snippets with file paths and line numbers. It streamlines the process of code exploration and knowledge retrieval for AI assistants without requiring manual indexing. A web management interface further enhances its utility, offering real-time logs, configuration control, and a tool debugger.
Key Features
- MCP server for semantic codebase indexing and search
- Configurable file exclusions, batch processing, and automatic retry mechanisms
- Natural language semantic search across project files
- Web management interface for configuration, real-time logs, and tool debugging
- Automatic incremental indexing with hash-based deduplication
- 114 GitHub stars
Use Cases
- Enable AI assistants to perform context-aware semantic searches within a project's codebase.
- Quickly locate relevant code snippets and context using natural language queries.
- Monitor server status, manage configurations, and debug MCP tool interactions via a web interface.
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