
Rememberizer AI
skydeckai/mcp-server-rememberizerA Model Context Protocol server for interacting with the Rememberizer API.
- Version
- Not specified in the provided code
- Type
- Community Servers
- Categories
- Cloud ServiceAPI Integration
Tools
6ACCOUNT_INFORMATION
Get account information
SEARCH
Search for documents by semantic similarity
Parameter Type Description q*string Up to a 400-word sentence for which you wish to find semantically similar chunks of knowledge. ninteger Number of semantically similar chunks of text to return. Use 'n_results=3' for up to 5, and 'n_results=10' for more information. If you do not receive enough information, consider trying again with a larger 'n_results' value. fromstring Start date in ISO 8601 format with timezone (e.g., 2023-01-01T00:00:00Z). Use this to filter results from a specific date. tostring End date in ISO 8601 format with timezone (e.g., 2024-01-01T00:00:00Z). Use this to filter results until a specific date. AGENTIC_SEARCH
Search for documents by semantic similarity
Parameter Type Description query*string Up to a 400-word sentence for which you wish to find semantically similar chunks of knowledge. user_contextstring The additional context for the query. You might need to summarize the conversation up to this point for better context-awared results. n_chunksinteger Number of semantically similar chunks of text to return. Use 'n_results=3' for up to 5, and 'n_results=10' for more information. If you do not receive enough information, consider trying again with a larger 'n_results' value. fromstring Start date in ISO 8601 format with timezone (e.g., 2023-01-01T00:00:00Z). Use this to filter results from a specific date. tostring End date in ISO 8601 format with timezone (e.g., 2024-01-01T00:00:00Z). Use this to filter results until a specific date. LIST_INTEGRATIONS
List available data source integrations
LIST_DOCUMENTS
Retrieves a paginated list of all documents in the system.
Parameter Type Description pageinteger= 1 Page number for pagination (starts at 1) page_sizeinteger= 100 Number of documents per page (1-1000) MEMORIZE
Save a piece of text information in your Rememberizer account to help you discover semantically similar knowledge in the future.
Parameter Type Description namestring Name of the information. This is used to identify the information in the future. contentstring The information you wish to memorize.
Resources
2document
A document resource from Rememberizer.
rememberizer://document/{id}slack
A Slack resource from Rememberizer.
rememberizer://slack/{id}
Prompts
0No prompts available for this server