rember/rember-mcp

Overview

A TypeScript server that implements the Model Context Protocol (MCP) to connect AI assistants with Rember, a knowledge management and memory tool. It enables AI models to programmatically read, write, and query Rember's data through a standard MCP interface.

Best for

Best for
Developers building AI assistants that need a persistent, queryable memory layer backed by Rember

Use cases

• Connect Claude or other MCP-compatible assistants to a Rember knowledge base
• Automate storing and retrieving notes, memories, or context during AI sessions
• Build custom AI workflows that persist and recall information via Rember

How to use

Install

npx -y @getrember/mcp --api-key=YOUR_REMBER_API_KEY

Tested with

Claude Desktop

Example client config

{\n  "mcpServers": {\n    "rember": {\n      "command": "npx",\n      "args": ["-y", "@getrember/mcp", "--api-key=YOUR_REMBER_API_KEY"]\n    }\n  }\n}

Notes

A TypeScript server that implements the Model Context Protocol (MCP) to connect AI assistants with Rember, a knowledge management and memory tool. It enables AI models to programmatically read, write, and query Rember’s data through a standard MCP interface.

62 stars on GitHub. Last updated 2025-03-28. Licensed MIT.

Use cases

• Connect Claude or other MCP-compatible assistants to a Rember knowledge base
• Automate storing and retrieving notes, memories, or context during AI sessions
• Build custom AI workflows that persist and recall information via Rember

Pros

• Lightweight, TypeScript-native implementation with standard MCP compliance
• Open source with active community contributions
• Direct integration path for AI tools already using MCP

Cons

• Requires familiarity with both Rember’s API and the Model Context Protocol
• Limited to features and data models provided by Rember
• Small user base (62 stars) means less community support and fewer examples

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.