Integrates with Dropbox documents, enabling semantic search and retrieval of information stored in Dropbox files.
Provides access to Gmail content as a source of internal knowledge, allowing users to search and retrieve information from emails.
Connects to Google Drive documents, allowing users to search and retrieve information from files stored in Google Drive.
Enables access to Slack discussions as a source of internal knowledge, allowing semantic search and retrieval of information from past conversations.
Rememberizer MCP Server for Common Knowledge
This is the public ck for testing purpose
Please note that rememberizer-mcp-ea-ck
is currently in development and the functionality may be subject to change.
Components
Resources
The server provides access to two types of resources: Documents or Slack discussions
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): 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
Installation
Via SkyDeck AI Helper App
If you have SkyDeck AI Helper app installed, you can search for "Rememberizer" and install the rememberizer-mcp-ea-ck.
Configuration
Usage with Claude Desktop
Add this to your claude_desktop_config.json
:
Usage with SkyDeck AI Helper App
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...
License
This project is licensed under the Apache License 2.0 - see the LICENSE file for details.
This server cannot be installed
Provides access to personal/team knowledge repositories with tools to search, retrieve, and save information from various sources including Slack, Gmail, and document storage platforms.
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