Unified Context Layer MCP

A Memory System for AI assistants that goes beyond traditional RAG. Store conversations, build knowledge graphs, extract facts, and maintain user profiles—all searchable with semantic understanding.Use across your apps and LLMs.

Features

Core Memory

• Infinite Context - Automatically compress long conversations while preserving important information
• Vector Search - Semantic search across all saved conversations using Pinecone
• Full Content Storage - Store up to ~5,000 words per chunk with formatting preserved
• Smart Compression - LLM-powered intelligent summarization

Memory System

• User Profiles - Automatically learns your interests, projects, and preferences
• Entity Graphs - Build knowledge graphs connecting people, projects, concepts
• Fact Extraction - Extract and chain atomic facts from conversations
• Temporal Awareness - Understand recency and relevance over time
• Hybrid Scoring - Combine semantic similarity with temporal and entity signals

Query Understanding

• Query Classification - Understand intent (search, save, question, etc.)
• Query Rewrites - Generate synonyms, broader terms, and expansions
• Enhanced Search - Guardrails, auto-refinement, and follow-up recommendations

Indexing

• GitHub Repositories - Index entire repos for code search
• Documentation Sites - Crawl and index docs
• Websites - Full website crawling
• Local Filesystems - Index local directories
• Single URLs - Index individual pages (blogs, ChatGPT conversations, tweets)

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🚀 Quick Start

1. Clone the Repository

git clone https://github.com/yourusername/infinite-context-mcp.git
cd infinite-context-mcp

2. Create Virtual Environment

python -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate

3. Install Dependencies

pip install -r requirements.txt

4. Configure API Keys

cp env_example.txt .env

Edit .env with your API keys:

ANTHROPIC_API_KEY=your_anthropic_api_key_here
OPENAI_API_KEY=your_openai_api_key_here
PINECONE_API_KEY=your_pinecone_api_key_here
PINECONE_INDEX_NAME=infinite-context-index  # Optional, this is the default

Get your API keys:

• Anthropic Console - For Claude (AI responses)
• OpenAI Platform - For embeddings
• Pinecone Console - For vector storage (free tier available)

5. Update the Run Script

Edit run_mcp.sh to point to your installation:

#!/bin/bash
cd /path/to/your/infinite-context-mcp
source venv/bin/activate
exec python main.py

Make it executable:

chmod +x run_mcp.sh

6. Connect to Your AI Tool

For Cursor

Add to your Cursor MCP settings (~/.cursor/mcp.json or via Settings > MCP):

{
  "mcpServers": {
    "infinite-context": {