$ loading_
Provides VS Code active editor context to MCP-compatible AI tools.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Active Context MCP" yet — see the docs or source repo.
Using my current VS Code open file, cursor position, and selection, explain what the code near the cursor does.
An explanation focused on the code near the current cursor.
Read my current VS Code selection and help me continue editing it while keeping context consistent.
A continuation or rewrite based on the current selection.
Using my current open file and cursor position in VS Code, give more appropriate edit suggestions.
Edit suggestions tailored to the active file.
Developers can let MCP-compatible AI read the current file, cursor, and selection in VS Code. This reduces manual copy-paste and makes explanations, continuations, and edit suggestions more immediate.
When you only want to work on a small block of text or code, this tool passes the current selection to AI. It is useful for local rewrites, polishing, and context-aware generation.
When a decision depends on the file currently open in VS Code, this tool provides the active editor context. The AI can respond based on the live file instead of guessing without context.
It provides VS Code active editor context to MCP-compatible AI tools, including the open file, cursor position, and selection.
Based on the description, it only provides the active editor context: the open file, cursor position, and selection.
It is for developers using MCP tools in VS Code, especially those who need explanations, rewrites, or suggestions based on the current code context.
Read, edit, and refactor code precisely with AST-based, token-efficient operations.
Let AI clients access Neovim buffer and cursor context via MCP.
Read, search, and update codebase documentation context through MCP.
Securely share read-only coding context across AI tools to continue work seamlessly.
Turn any LLM into a codebase expert with search, mapping, and security insights.
Monitor AI coding context usage and preserve state before compaction.