Rememberizer MCP Servers
Configure and use Rememberizer MCP servers to connect your AI assistants with your knowledge
Last updated
Configure and use Rememberizer MCP servers to connect your AI assistants with your knowledge
Last updated
The (MCP) is a standardized protocol designed to integrate AI models with various data sources and tools. It supports a client-server architecture facilitating the building of complex workflows and agents with enhanced flexibility and security.
The is an MCP server tailored for interacting with Rememberizer's document and knowledge management API. It allows LLMs to efficiently search, retrieve, and manage documents and integrations. The server is available as a public package on and as an open-source project on .
The Rememberizer MCP Server can be installed and integrated through multiple methods:
If you have SkyDeck AI Helper app installed, you can search for "Rememberizer" and install the mcp-server-rememberizer.
The Rememberizer MCP Server provides the following tools for interacting with your knowledge repository:
retrieve_semantically_similar_internal_knowledge
Finds semantically similar matches from your Rememberizer knowledge repository
Parameters:
match_this (string, required): The text to find matches for (up to 400 words)
n_results (integer, optional): Number of results to return (default: 5)
from_datetime_ISO8601 (string, optional): Filter results from this date
to_datetime_ISO8601 (string, optional): Filter results until this date
smart_search_internal_knowledge
Performs an agentic search across your knowledge sources
Parameters:
query (string, required): Your search query (up to 400 words)
user_context (string, optional): Additional context for better results
n_results (integer, optional): Number of results to return (default: 5)
from_datetime_ISO8601 (string, optional): Filter results from this date
to_datetime_ISO8601 (string, optional): Filter results until this date
list_internal_knowledge_systems
Lists all your connected knowledge sources
No parameters required
rememberizer_account_information
Retrieves your Rememberizer account details
No parameters required
list_personal_team_knowledge_documents
Returns a paginated list of all your documents
Parameters:
page (integer, optional): Page number for pagination (default: 1)
page_size (integer, optional): Documents per page (default: 100, max: 1000)
remember_this
Saves new information to your Rememberizer knowledge system
Parameters:
name (string, required): Name to identify this information
content (string, required): The information to memorize
Step 2: Add your knowledge to the Rememberizer platform by connecting to Gmail, Dropbox, or Google Drive, etc...
Step 6: If you're using Claude Desktop app, add this to your claude_desktop_config.json file.
Step 7: If you're using SkyDeck AI Helper app, add the env REMEMBERIZER_API_TOKEN to mcp-server-rememberizer.
Congratulations, you're done!
With support from the Rememberizer MCP server, you can now ask the following questions in your Claude Desktop app or SkyDeck AI GenStudio
What is my Rememberizer account?
List all documents that I have there.
Give me a quick summary about "..."
The Rememberizer VectorStore MCP Server facilitates interaction between LLMs and the Rememberizer Vector Store, enhancing document management and retrieval through semantic similarity searches.
The Rememberizer Vector Store MCP Server can be installed and integrated through similar methods as the main Rememberizer MCP Server:
If you have SkyDeck AI Helper app installed, you can search for "Rememberizer Vector Store" and install the mcp-rememberizer-vectordb.
Step 4: If you're using Claude Desktop app, add this to your claude_desktop_config.json file.
Step 5: If you're using SkyDeck AI Helper app, add the env REMEMBERIZER_VECTOR_STORE_API_KEY to mcp-rememberizer-vectordb.
Congratulations, you're done!
With support from the Rememberizer Vector Store MCP server, you can now ask the following questions in your Claude Desktop app or SkyDeck AI GenStudio
What is my current Rememberizer vector store?
List all documents that I have there.
Give me a quick summary about "..."
The Rememberizer MCP Servers demonstrate the powerful capabilities of the Model Context Protocol by providing an efficient, standardized way to connect AI models with comprehensive data management tools. These servers enhance the ability to search, retrieve, and manage documents with precision, utilizing advanced semantic search methods and the augmentation of LLM Agents.
Step 1: Sign up for a new Rememberizer account at .
Step 3: To selectively share your knowledge, set up a Mementos Filter. This allows you to choose which information is shared and which remains private. ()
Step 4: Share your knowledge by creating a "Common Knowledge" (Guide and )
Step 5: To access your knowledge via APIs, create an API key ()
To install the Rememberizer Vector Store MCP Server, follow the .
Step 1: Sign up for a new Rememberizer account at .
Step 2: Create a new Vector Store ()
Step 3: To manage your Vector Store via APIs, you need to create an API key ()
