Official description3 sourcesMCP servers3d ago

xxczaki/local-history-mcp

MCP server for accessing VS Code/Cursor's Local History

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Source: collected from the abordage/awesome-mcp list · type: MCP server
Harvest history: first seen 2026-10-14 · last seen 2026-10-16 · seen 4× · listed by 3 sources
Score: score 303 · 3 sources · mcp

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first catalogued 2026-10-14；last seen 2026-10-16。There is no official certification or quality rating here — we record sources and dates only.

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Local History MCP Server

以下摘录自该仓库的 README（片段） · 在 GitHub 读完整 README →

> Access Cursor/VS Code Local History through the Model Context Protocol for AI-powered data recovery
Overview
This MCP server bridges the gap between AI assistants and editor Local History, enabling data recovery and enhanced context awareness. Unlike undo/redo, Local History captures file snapshots at save points, preserving work that would otherwise be lost.
**Problem**: Current AI assistants (Claude, Cursor AI, GitHub Copilot) cannot access Local History data despite having extensive diagnostic capabilities.
**Solution**: Simple MCP server providing direct access to Cursor/VS Code Local History for personal use.
Installation
Option 1: Package Manager (Recommended)
Install using your preferred package manager:
Option 2: From Source
MCP Tools
| Tool | Description |
|------|-------------|
| list_history_files | List all files with Local History |
| get_file_history | View complete history for a file |
| get_history_entry | Get specific history entry content |
| restore_from_history | Restore file to previous state (with backup) |
| search_history_content | Search across all history entries |
| get_history_stats | Overview statistics |
Configuration
Cursor
You can install this MCP server in Cursor using the **one-click install button**:
Or manually configure by following the official Cursor MCP documentation.
Claude Code & Claude Desktop
For **Claude Code** (CLI), install directly:
For **Claude Desktop**, see the official MCP documentation.
VS Code
See the official documentation.
Development
AI disclosure
This project contains code generated by Large Language Models (LLMs), under human supervision and proofreading.
License
MIT