Context-MCP
# Context-MCP
<div align="center">




**Intelligent Context Manager for AI Coding Assistants**
*Hierarchical semantic compression that remembers what matters*
[Installation](#installation) • [Quick Start](#quick-start) • [Features](#features) • [CLI](#cli) • [API](#api)
</div>
---
## The Problem
AI coding assistants forget your project context with every new conversation. You waste time re-explaining architecture, decisions, and patterns.
## The Solution
Context-MCP provides a **3-level memory system** that intelligently manages what the AI remembers:
```
┌─────────────────────────────────────────┐
│ CORE (~500 tokens) │
│ Always loaded • Key decisions │
│ Architecture • Critical patterns │
├─────────────────────────────────────────┤
│ ACTIVE (~2000 tokens) │
│ Current work context │
│ Related modules • Recent changes │
├─────────────────────────────────────────┤
│ ARCHIVE (unlimited) │
│ Full history • Searchable │
│ Auto-retrieved when relevant │
└─────────────────────────────────────────┘
```
## Installation
```bash
# Clone the repository
git clone https://github.com/vshavlidze/context-mcp.git
cd context-mcp
# Install dependencies
npm install
# Build
npm run build
# Run tests (optional)
npm test
```
## Quick Start
### 1. Add to your MCP configuration
Create or edit `.mcp.json` in your project:
```json
{
"mcpServers": {
"context": {
"command": "node",
"args": ["/path/to/context-mcp/dist/index.js"]
}
}
}
```
### 2. Start using context tools
In your AI assistant, use these tools:
```
context_get → Load project context at conversation start
context_add → Save important decisions/patterns
context_search → Find specific information
context_focus → Set current work area
```
### 3. Or use the CLI
```bash
# Interactive terminal interface
npm run cli
# or after npm link:
ctx
```
## Features
### Intelligent Compression
- Automatic summarization of large contexts
- Token-aware storage (~500 tokens for core)
- Semantic relevance scoring
### Auto-Management
- **Auto-archive**: Old, low-relevance entries move to archive
- **Auto-promote**: Frequently accessed entries rise to active
- **Smart caching**: LRU cache with TTL for fast retrieval
### Multi-language Support
- English and Russian interfaces
- Language selection on startup
- Localized prompts and messages
### Prompt Templates
- Store reusable prompts in `prompts/` folder
- Variable substitution (`{code}`, `{problem}`)
- Categorized templates (coding, review, debug, docs)
### Full-Text Search
- SQLite FTS5 powered search
- Search across all context levels
- Relevance-ranked results
## CLI Commands
| Command | Description |
|---------|-------------|
| `/get` | Load project context |
| `/add` | Add new context entry |
| `/search` | Search context |
| `/list` | List entries by level |
| `/delete` | Delete an entry |
| `/focus` | Set current work focus |
| `/import` | Import from file |
| `/prompts` | Browse prompt templates |
| `/stats` | Show statistics |
| `/health` | System health check |
| `/export` | Export to JSON/Markdown |
| `/lang` | Change language |
| `/help` | Show all commands |
## API (MCP Tools)
### context_get
Load project context. Use at conversation start.
```typescript
{
include_active?: boolean // Include ACTIVE level (default: true)
focus_categories?: string[] // Filter by categories
}
```
### context_add
Add new context entry.
```typescript
{
title: string
content: string
category: 'architecture' | 'pattern' | 'decision' | 'api' |
'dependency' | 'bug' | 'feature' | 'config' |
'security' | 'performance'
level?: 'core' | 'active' | 'archive' // default: 'active'
priority?: 'critical' | 'high' | 'medium' | 'low'
tags?: string[]
}
```
### context_search
Search for specific context.
```typescript
{
query: string
categories?: string[]
tags?: string[]
limit?: number // default: 10
}
```
### context_focus
Set current work focus to optimize context loading.
```typescript
{
task: string // What you're working on
modules?: string[] // Related module names
}
```
## Project Structure
```
context-mcp/
├── src/
│ ├── core/ # Core logic
│ │ ├── compressor.ts # Semantic compression
│ │ ├── relevance.ts # Scoring algorithms
│ │ ├── telemetry.ts # Performance monitoring
│ │ └── types.ts # TypeScript types
│ ├── storage/
│ │ └── database.ts # SQLite + FTS5 storage
│ ├── mcp/
│ │ └── server.ts # MCP server implementation
│ └── cli/
│ ├── index.ts # CLI entry point
│ ├── commands.ts # Command handlers
│ ├── interface.ts # Terminal UI
│ └── i18n.ts # Translations
├── prompts/ # Prompt templates
├── tests/ # Test suites (306 tests)
└── dist/ # Compiled output
```
## Configuration
Environment variables:
| Variable | Description | Default |
|----------|-------------|---------|
| `CONTEXT_MCP_DATA` | Data directory path | `~/.context-mcp` |
## Performance
- **Bulk insert**: ~0.8ms per entry
- **Search**: <2ms for 100 results
- **Core snapshot**: <5ms generation
- **Cache hit rate**: >90% typical usage
## Contributing
Contributions are welcome! Please:
1. Fork the repository
2. Create a feature branch
3. Add tests for new functionality
4. Ensure all tests pass
5. Submit a pull request
## License
MIT License - see [LICENSE](LICENSE) for details.
TDQS
Scored across 9 tools
Each tool targets a distinct action on the context knowledge base: add, get, search, update, delete, relate, stats, focus, and summarize. There is no meaningful overlap; even get and search serve clearly separate purposes (broad optimized view vs. targeted query).
All tool names follow a uniform 'context_' prefix followed by a simple verb (add, get, search, update, delete, relate, stats, focus, summarize). This is a perfect example of consistent verb_noun convention.
With 9 tools, the server is well-scoped. Each tool is meaningful and contributes to the overall context management workflow without redundancy or bloat. This is an ideal size for the stated purpose.
The tool set covers the full lifecycle of context entries: create (add), read (get), update, delete, search, linking (relate), statistics, focus management, and summarization. There are no obvious dead ends or missing core operations.