{{CK_DESCRIPTION}}
Please note that {{REPO_NAME}}
is currently in development and the functionality may be subject to change.
The server provides access to two types of resources: Documents or Slack discussions
-
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): Up to a 400-word sentence for which you wish to find semantically similar chunks of knowledgen_results
(integer, optional): Number of semantically similar chunks of text to return. Use 'n_results=3' for up to 5, and 'n_results=10' for more informationfrom_datetime_ISO8601
(string, optional): Start date in ISO 8601 format with timezone (e.g., 2023-01-01T00:00:00Z). Use this to filter results from a specific dateto_datetime_ISO8601
(string, optional): End date in ISO 8601 format with timezone (e.g., 2024-01-01T00:00:00Z). Use this to filter results until a specific date
- Returns: Search results as text output
-
smart_search_internal_knowledge
- Search for documents in Rememberizer in its personal/team internal knowledge and memory repository using a simple query that returns the results of an agentic search. The search may include sources such as Slack discussions, Gmail, Dropbox documents, Google Drive documents, and uploaded files
- Input:
query
(string): Up to a 400-word sentence for which you wish to find semantically similar chunks of knowledgeuser_context
(string, optional): The additional context for the query. You might need to summarize the conversation up to this point for better context-awared resultsn_results
(integer, optional): Number of semantically similar chunks of text to return. Use 'n_results=3' for up to 5, and 'n_results=10' for more informationfrom_datetime_ISO8601
(string, optional): Start date in ISO 8601 format with timezone (e.g., 2023-01-01T00:00:00Z). Use this to filter results from a specific dateto_datetime_ISO8601
(string, optional): End date in ISO 8601 format with timezone (e.g., 2024-01-01T00:00:00Z). Use this to filter results until a specific date
- Returns: Search results as text output
-
list_internal_knowledge_systems
- List the sources of personal/team internal knowledge. These may include Slack discussions, Gmail, Dropbox documents, Google Drive documents, and uploaded files
- Input: None required
- Returns: List of available integrations
-
rememberizer_account_information
- Get information about your Rememberizer.ai personal/team knowledge repository account. This includes account holder name and email address
- Input: None required
- Returns: Account information details
-
list_personal_team_knowledge_documents
- Retrieves a paginated list of all documents in your personal/team knowledge system. Sources could include Slack discussions, Gmail, Dropbox documents, Google Drive documents, and uploaded files
- Input:
page
(integer, optional): Page number for pagination, starts at 1 (default: 1)page_size
(integer, optional): Number of documents per page, range 1-1000 (default: 100)
- Returns: List of documents
-
remember_this
- Save a piece of text information in your Rememberizer.ai knowledge system so that it may be recalled in future through tools retrieve_semantically_similar_internal_knowledge or smart_search_internal_knowledge
- Input:
name
(string): Name of the information. This is used to identify the information in the futurecontent
(string): The information you wish to memorize
- Returns: Confirmation data
If you have SkyDeck AI Helper app installed, you can search for "Rememberizer" and install the {{REPO_NAME}}.
Add this to your claude_desktop_config.json
:
"mcpServers": {
"rememberizer": {
"command": "uvx",
"args": ["{{REPO_NAME}}"]
},
}
With support from the Rememberizer MCP server for Common Knowledge, you can now ask the following questions in your Claude Desktop app or SkyDeck AI GenStudio
-
What is this Common Knowledge?
-
List all documents that it has there.
-
Give me a quick summary about "..."
-
and so on...
This project is licensed under the Apache License 2.0 - see the LICENSE file for details.