Rememberizer MCP
Enables interaction with Rememberizer.ai knowledge repositories to search, retrieve, and store information across sources like Slack, Gmail, and Google Drive. It supports semantic search and agentic queries to access and manage personal or team inter
What is Rememberizer MCP?
Rememberizer MCP is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to enables interaction with rememberizer.ai knowledge repositories to search, retrieve, and store information across sources like slack, gmail, and google drive. it supports semantic search and agentic q...
Enables interaction with Rememberizer.ai knowledge repositories to search, retrieve, and store information across sources like Slack, Gmail, and Google Drive. It supports semantic search and agentic queries to access and manage personal or team inter
This server falls under the Knowledge & Memory and Communication categories on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- Enables interaction with Rememberizer.ai knowledge repositor
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx rememberizer-mcp-serverConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
How to Set Up and Use Rememberizer MCP
Rememberizer MCP Server connects AI assistants to Rememberizer.ai, a personal and team knowledge repository that aggregates information from Slack, Gmail, Google Drive, Dropbox, and uploaded files. Through this server, LLMs can perform semantic search across your connected knowledge sources, store new information for future recall, list available integrations, and retrieve account details — effectively giving your AI assistant a long-term, cross-platform memory backed by your actual work data.
Prerequisites
- A Rememberizer.ai account with at least one knowledge source connected (Slack, Gmail, Google Drive, Dropbox, or uploaded files)
- A Rememberizer API token — obtain one by creating a Common Knowledge in Rememberizer at https://docs.rememberizer.ai/developer/registering-and-using-api-keys
- Python runtime with uvx (uv toolchain) available, or an MCP client that can run uvx
- An MCP-compatible client such as Claude Desktop
Obtain your Rememberizer API token
Log in to Rememberizer.ai, navigate to Developer settings, and create a new Common Knowledge to receive your API token. Copy this token — you will need it in the configuration step.
# Visit: https://docs.rememberizer.ai/developer/registering-and-using-api-keysConnect knowledge sources in Rememberizer
In the Rememberizer web app, connect the sources you want your AI to search: Slack workspaces, Gmail, Google Drive folders, Dropbox, or upload files directly. The MCP server can only search sources that are already connected.
Add the server to your MCP client configuration
Add the rememberizer server entry to claude_desktop_config.json (macOS: ~/Library/Application Support/Claude/claude_desktop_config.json). The server runs via uvx and requires your API token as an environment variable.
{
"mcpServers": {
"rememberizer": {
"command": "uvx",
"args": ["mcp-server-rememberizer"],
"env": {
"REMEMBERIZER_API_TOKEN": "your_rememberizer_api_token"
}
}
}
}Restart Claude Desktop
Restart Claude Desktop (or your MCP client) to load the new server configuration. The Rememberizer tools will now be available in your conversations.
Verify the connection
Ask your AI assistant to list your knowledge sources or retrieve your account information to confirm everything is connected correctly.
Rememberizer MCP Examples
Client configuration (Claude Desktop)
Complete claude_desktop_config.json snippet for connecting Claude Desktop to the Rememberizer MCP server. Replace the placeholder with your actual API token.
{
"mcpServers": {
"rememberizer": {
"command": "uvx",
"args": ["mcp-server-rememberizer"],
"env": {
"REMEMBERIZER_API_TOKEN": "your_rememberizer_api_token"
}
}
}
}Prompts to try
Example prompts to use with Claude Desktop once the Rememberizer MCP server is connected.
- "What is my Rememberizer account information?"
- "List all documents I have in my knowledge repository."
- "Search my knowledge base for anything related to the Q3 marketing campaign."
- "Find Slack discussions from last month about the API redesign."
- "Remember this for later: our production database password rotation is scheduled for the first Monday of each month."Troubleshooting Rememberizer MCP
uvx command not found when starting the server
Install the uv toolchain by running `curl -LsSf https://astral.sh/uv/install.sh | sh` (macOS/Linux) or follow the Windows instructions at https://astral.sh/uv. After installation, restart your terminal and verify with `uvx --version`.
Semantic search returns no results even though documents are connected
Newly connected sources may take time to be indexed by Rememberizer. Log in to the Rememberizer web app to check the indexing status of your connected sources. Only indexed content is searchable via the MCP tools.
Authentication error: invalid or expired API token
Go to your Rememberizer developer settings, regenerate your API token, and update the REMEMBERIZER_API_TOKEN value in your MCP client configuration. Restart the MCP client after updating.
Frequently Asked Questions about Rememberizer MCP
What is Rememberizer MCP?
Rememberizer MCP is a Model Context Protocol (MCP) server that enables interaction with rememberizer.ai knowledge repositories to search, retrieve, and store information across sources like slack, gmail, and google drive. it supports semantic search and agentic queries to access and manage personal or team inter It connects AI assistants to external tools and data sources through a standardized interface.
How do I install Rememberizer MCP?
Follow the installation instructions on the Rememberizer MCP GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with Rememberizer MCP?
Rememberizer MCP works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is Rememberizer MCP free to use?
Yes, Rememberizer MCP is open source and available under the Apache 2.0 license. You can use it freely in both personal and commercial projects.
Rememberizer MCP Alternatives — Similar Knowledge & Memory Servers
Looking for alternatives to Rememberizer MCP? Here are other popular knowledge & memory servers you can use with Claude, Cursor, and VS Code.
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Memu
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MemOS
★ 9.3kMemOS (Memory Operating System) is a memory management operating system designed for AI applications. Its goal is: to enable your AI system to have long-term memory like a human, not only remembering what users have said but also actively invoking, u
Everos
★ 5.4kBuild, evaluate, and integrate long-term memory for self-evolving agents.
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