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Rememberizer
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3 months ago
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3 weeks ago
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Documentation & install
Readme and setup notes from the catalogue, plus a client-ready config you can copy for your MCP host.
Installation
Add the following to your MCP client configuration file.
Configuration
View docs{
"mcpServers": {
"skydeckai-rememberizer-mcp-asdasd": {
"command": "uvx",
"args": [
"rememberizer-mcp-asdasd"
]
}
}
}Rememberizer MCP Server for Common Knowledge lets you store and retrieve internal knowledge chunks and search across personal or team knowledge sources. You can semantically query and recall relevant documents, Slack discussions, and other stored content to boost your memory-assisted workflows.
How to use
You interact with Rememberizer through your MCP client by connecting to the local or remote server and asking questions or saving memory blocks. Use the Rememberizer endpoints to retrieve semantically similar internal knowledge or to perform agentic searches across your personal/team knowledge store. You can save new information with a memorize action and later recall it via the search tools.
How to install
Prerequisites: ensure you have access to SkyDeck AI Helper App or Claude Desktop integration as described below. You do not need to run a full backend server locally unless you choose to. Follow the steps to enable the MCP connection through the supported clients.
Install the Rememberizer MCP Server rememberizer-mcp-asdasd using the supported helper app. In SkyDeck AI Helper App, search for Rememberizer and install rememberizer-mcp-asdasd.
Configure clients to connect to the MCP server using the provided settings. For Claude Desktop, add the following to your claude_desktop_config.json to connect to Rememberizer through the MCP entry rememberizer.
"mcpServers": {
"rememberizer": {
"command": "uvx",
"args": ["rememberizer-mcp-asdasd"]
},
}
Additional configuration and usage notes
With SkyDeck AI Helper App support, you can ask questions in Claude Desktop or SkyDeck AI GenStudio such as “What is this Common Knowledge?”, “List all documents that it has there.”, or “Give me a quick summary about ‘...’.”
Available tools
retrieve_semantically_similar_internal_knowledge
Send a block of text and retrieve cosine similar matches from your connected Rememberizer personal/team internal knowledge and memory repository. Input: match_this (string), n_results (integer, optional), from_datetime_ISO8601 (string, optional), to_datetime_ISO8601 (string, optional). Returns: text output.
smart_search_internal_knowledge
Search for documents in Rememberizer using a simple query that returns agentic search results across sources like Slack, Gmail, Dropbox, Google Drive, and uploaded files. Input: query, user_context (optional), n_results (optional), from_datetime_ISO8601 (optional), to_datetime_ISO8601 (optional). Returns: text output.
list_internal_knowledge_systems
List the sources of personal/team internal knowledge, including Slack discussions, Gmail, Dropbox, Google Drive, and uploaded files. Input: none. Returns: list of available integrations.
rememberizer_account_information
Get information about your Rememberizer.ai personal/team knowledge repository account, including account holder name and email address. Input: none. Returns: account information details.
list_personal_team_knowledge_documents
Retrieve a paginated list of documents in your knowledge system. Sources can include Slack discussions, Gmail, Dropbox documents, Google Drive documents, and uploaded files. Input: page, page_size. Returns: list of documents.
remember_this
Save a piece of text information in your Rememberizer.ai knowledge system for future recall via search tools. Input: name, content. Returns: confirmation data.