MCP Memory Dashboard

MCP Memory Dashboard is an MCP server desktop interface that connects to the MCP Memory Service to provide visual semantic memory management for LLMs. Built with Electron and Vite, it allows users running AI assistants like Claude Desktop to inspect, search, and manage external long-term vector memories stored in ChromaDB. Developers and researchers use the dashboard to review contextual data saved by autonomous agents, run semantic search queries, filter memories using natural language time expressions, and delete outdated entries or tags. It includes monitoring panels for database health, vector indexing performance metrics, and automated compressed backup creation. The application supports direct Docker ChromaDB access for low-latency operations alongside standard Model Context Protocol execution. Note that the standalone dashboard repository is deprecated in favor of the embedded web dashboard now packaged directly within the core MCP Memory Service.

Category: AI & LLM Tooling

Tags: context, dashboard, recall, semantic-memory

Visit MCP Memory Dashboard

How to install and configure MCP Memory Dashboard

1. Note that this standalone dashboard is deprecated; the repository recommends using the embedded web dashboard in the main MCP Memory Service. 2. To run this legacy desktop client, ensure Node.js (v16+) and Python (v3.10+) with UV are installed. 3. Clone the repository and install dependencies: bash git clone https://github.com/doobidoo/mcp-memory-dashboard.git cd mcp-memory-dashboard npm install 4. Create a .env file and set the required paths such as VITE_MEMORY_SERVICE_PATH, VITE_MEMORY_CHROMA_PATH, VITE_MEMORY_BACKUPS_PATH, and VITE_CLAUDE_CONFIG_PATH. 5. Start the desktop dashboard application: bash npm start 6. Ensure your Claude Desktop configuration includes the memory server pointing to uv and your memory service directory as detailed in the project README.

What you can do with MCP Memory Dashboard

• Running semantic search queries across stored agent memory to inspect retrieval accuracy and vector similarity scores. • Filtering historical conversational memories using temporal natural language expressions like yesterday or last week. • Organizing knowledge bases by selecting and batch-deleting obsolete tags and specific vector memory entries. • Monitoring ChromaDB database health, query execution times, and storage size through a centralized desktop view. • Triggering automated timestamped database optimizations and compressed tar.gz backups directly from the interface.

Key facts

• https://github.com/doobidoo/mcp-memory-dashboard
• AI & LLM Tooling, AI Memory & Context
• context, dashboard, recall, semantic-memory

Part of MCP Servers

What is MCP Memory Dashboard?

MCP Memory Dashboard is an Electron desktop application designed to interact with and manage the MCP Memory Service. It allows users to store, view, search, and delete semantic memories stored in ChromaDB for MCP-compatible assistants.

Is MCP Memory Dashboard deprecated?

Yes, this standalone repository has been deprecated. The functionality has been integrated directly into the main MCP Memory Service as an embedded web dashboard accessible via a local browser interface.

Which MCP clients work with MCP Memory Dashboard?

It is built to interface with the MCP Memory Service configured inside Model Context Protocol environments like Claude Desktop on macOS, Linux, or Windows.

What is the Docker ChromaDB mode in the dashboard?

Docker mode connects directly to ChromaDB through Docker container volume mounting, bypassing standard protocol overhead to reduce latency and eliminate service conflicts during intensive vector operations.