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by ForLoopCodes • Uncategorized
An MCP server that provides semantic intelligence for large-scale engineering codebases with 99% accuracy.
Semantic code search and navigation across large codebases.
Structural and semantic analysis tools integrated with IDEs.
Advanced version control and memory graph capabilities with AI-assisted commit proposals.
Context+ combines RAG, Tree-sitter AST, spectral clustering, and Obsidian-style linking to transform massive codebases into searchable, hierarchical feature graphs. It offers a suite of tools for discovery, analysis, code operations, version control, and memory graph management, enabling developers to semantically search, navigate, and manage code efficiently. The server supports multiple IDEs and coding agents with easy setup and configuration.
Get the structural tree of the project with file headers, function names, classes, enums, and line ranges. Automatically reads 2-line headers for file purpose. Dynamic token-aware pruning: Level 2 (deep symbols) -> Level 1 (headers only) -> Level 0 (file names only) based on project size.
Search semantic intent at identifier level (functions, methods, classes, variables) with definition lines and ranked call sites. Uses embeddings over symbol signatures and source context, then returns line-numbered definition/call chains.
Get detailed function signatures, class methods, and type definitions of a specific file WITHOUT reading the full body. Shows the API surface: function names, parameters, return types, and line ranges. Perfect for understanding how to use code without loading it all.
Search the codebase by MEANING, not just exact variable names. Uses Ollama embeddings over file headers and symbol names. Example: searching 'user authentication' finds files about login, sessions, JWT even if those exact words aren't used, with matched definition lines.
Before deleting or modifying code, check the BLAST RADIUS. Traces every file and line where a specific symbol (function, class, variable) is imported or used. Prevents orphaned code. Also warns if usage count is low (candidate for inlining).
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