WisdomForge MCP Server

What is WisdomForge?

WisdomForge is a knowledge management system that stores and retrieves experiences, insights, best practices, and lessons learned using a vector database. It integrates with the Model Context Protocol (MCP) for use in AI IDEs like Cursor and Claude Desktop, and works with Qdrant or Chroma for efficient embedding-based retrieval.

How to use WisdomForge?

1. Clone the repository, install dependencies, and build the project with npm install && npm run build.
2. Create a .env file from the template and configure required environment variables: DATABASE_TYPE (qdrant/chroma), COLLECTION_NAME, and the corresponding database URL/key. Optionally set HTTP_SERVER=true for HTTP mode.
3. Integrate with Cursor AI by adding the provided MCP configuration to your ~/.cursor/mcp.json file, or configure Claude Desktop following the run-mcp.sh script instructions.
4. Use the MCP tools store_knowledge and retrieve_knowledge_context to store and retrieve domain knowledge.

Key features of WisdomForge

• Intelligent knowledge management and retrieval via vector search
• Support for multiple knowledge types (best practices, lessons learned, insights, experiences)
• Configurable database selection between Qdrant and Chroma
• Uses Qdrant’s built-in FastEmbed for efficient embedding generation
• Domain knowledge storage and retrieval for AI assistants
• Deployable to Smithery.ai cloud platform

Use cases of WisdomForge

• Storing and retrieving team best practices and lessons learned
• Providing contextual domain knowledge to AI coding assistants
• Managing institutional knowledge for onboarding and training
• Powering knowledge retrieval in MCP‑compatible tools like Cursor and Claude