Context+
An MCP server that transforms codebases into searchable, hierarchical feature graphs by combining Tree-sitter AST parsing (43 languages), spectral clustering, and Obsidian-style wikilink navigation. Provides 11 MCP tools for structural analysis, semantic code search, blast radius tracing, static analysis, and safe code modification with shadow restore points.
Best When
You are working with large, multi-language codebases and want AI agents to have deep structural understanding including AST parsing, semantic clustering, and safe modification capabilities with undo support.
Avoid When
You have a small project where grep/ripgrep suffices, or you cannot run Ollama locally for embeddings. The dependency on a local LLM runtime adds setup friction.
Use Cases
- • Understanding large unfamiliar codebases through structural and semantic search
- • Tracing impact of changes via blast radius analysis before modifying code
- • Navigating multi-language projects using feature hubs and wikilink graphs
- • Safe AI code modifications with automatic shadow restore points for undo
Not For
- • Production deployment without local Ollama instance (requires local embedding model)
- • Teams that don't want a .mcp_data/ cache directory in their projects
- • Users needing cloud-hosted semantic search (this is entirely local)
Alternatives
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Scores are editorial opinions as of 2026-03-01.