Brain Server - MCP Knowledge Embedding Service
Description
# 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…
About
# 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 -…
Details
- Author
- patrickdeluca
- Downloads
- 271
- Categories
- Knowledge Base
Jump to
- Generate high-quality vector embeddings for knowledge content
- Perform semantic search based on meaning, not keywords
- Organize knowledge into domain-specific brains
- Retrieve surrounding context for better understanding
- Track progress of long-running operations in real time
- Full compliance with the Model Context Protocol
Clone the repository, install dependencies (npm install), copy .env.example to .env and configure PORT, MONGODB_URI, EMBEDDING_MODEL, and MAX_CHUNK_SIZE. Build with npm run build, then run in development mode (npm run dev) or production mode (npm start). Use the exposed MCP tools such as addKnowledge, searchSimilar, updateKnowledge, deleteKnowledge, batchAddKnowledge, and getEmbedding.
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
```bash
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