Context+ FAQs

Question 1

What is Context+ and how does it help developers?

Accepted Answer

Context+ is an MCP server that brings semantic intelligence to large-scale engineering. It transforms complex codebases into a searchable, hierarchical feature graph using AST parsing, spectral clustering, and Obsidian-style linking, enabling developers to understand, navigate, and modify code with 99% accuracy.

Question 2

How does Context+ enhance codebase understanding and navigation?

Accepted Answer

Context+ provides tools like structural AST tree parsing, semantic code and identifier search using embeddings, and spectral clustering to group related files by meaning. An Obsidian-style feature hub further allows mapping features to code files, making complex projects easily browsable.

Question 3

What unique features does Context+ offer for safe AI-driven code modifications?

Accepted Answer

Context+ includes a `propose_commit` feature that validates AI-driven code changes against strict rules and automatically creates 'shadow restore points'. These points allow developers to `undo_change` to revert specific AI modifications without altering their Git history, ensuring safe experimentation.

Question 4

Can Context+ perform impact analysis for code changes?

Accepted Answer

Yes, Context+ features a `get_blast_radius` tool that traces every file and line where a symbol is imported or used. This provides comprehensive impact analysis, helping developers understand the full scope of a change and prevent orphaned references.

Question 5

What technologies does Context+ integrate with?

Accepted Answer

Context+ is built with TypeScript over stdio using the Model Context Protocol (MCP) SDK. It integrates seamlessly with popular IDEs like Claude Code, Cursor, VS Code, and Windsurf via simple `mcpServers` configurations. It leverages Tree-sitter for multi-language AST parsing and Ollama for vector embeddings and chat models.

Context+

Context+

Key Features

Use Cases

Key Features

Use Cases