- Brain Server - MCP Knowledge Embedding Service
Brain Server - MCP Knowledge Embedding Service
Content
Brain Server - MCP Knowledge Embedding Service
A powerful MCP (Model Context Protocol) server for managing knowledge embeddings and vector search.
Features
- Vector Embeddings: Generate high-quality embeddings for knowledge content
- Semantic Search: Find knowledge based on meaning, not just keywords
- MCP Compliance: Follows Model Context Protocol for AI integration
- Brain Management: Organize knowledge into domain-specific brains
- Context-Aware Retrieval: Includes surrounding context for better understanding
- Progress Tracking: Real-time monitoring of long-running operations
Installation
# Clone the repository
git clone https://github.com/your-username/brain-server.git
cd brain-server
# Install dependencies
npm install
# Configure environment
cp .env.example .env
# Edit .env with your settings
# Build the project
npm run build
Configuration
Configure the server using environment variables in the .env file:
# Server Configuration
PORT=3000
# MongoDB Configuration
MONGODB_URI=mongodb://localhost:27017
# Model Configuration
EMBEDDING_MODEL=Xenova/all-MiniLM-L6-v2
MAX_CHUNK_SIZE=1024
Usage
Starting the Server
# Development mode
npm run dev
# Production mode
npm start
MCP Tool Usage
The server exposes the following MCP tools:
addKnowledge: Add new knowledge to the vector databasesearchSimilar: Find semantically similar contentupdateKnowledge: Update existing knowledge entriesdeleteKnowledge: Remove knowledge entriesbatchAddKnowledge: Add multiple knowledge entries in a batchgetEmbedding: Generate embeddings for text content
Development
Project Structure
src/
├── config/ # Configuration settings
├── controllers/ # Route controllers
├── errors/ # Error definitions
├── middleware/ # Express middleware
├── models/ # Data models and types
├── services/ # Business logic
│ ├── embeddings/ # Embedding providers
│ ├── ingestion/ # Knowledge ingestion
│ ├── processing/ # Knowledge processing
│ └── storage/ # Storage services
├── tools/ # MCP tool definitions
├── types/ # TypeScript type definitions
├── utils/ # Utility functions
├── server.ts # MCP server setup
└── index.ts # Application entry point
Available Scripts
npm run build: Build the TypeScript projectnpm start: Run the built applicationnpm run dev: Run in development mode with hot reloadingnpm test: Run testsnpm run lint: Run linter
License
This project is licensed under the ISC License - see the LICENSE file for details.
Contributing
Contributions are welcome! Please feel free to submit a Pull Request.
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