Rememberizer Common Knowledge

Access personal and team knowledge repositories, including documents and Slack discussions.

Rememberizer MCP Server for Common Knowledge

This is the public ck for testing purpose

Please note thatrememberizer-mcp-ea-ckis 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 knowledge
- n_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 information
- from_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 date
- to_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

- 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 knowledge
- user_context(string, optional): The additional context for the query. You might need to summarize the conversation up to this point for better context-awared results
- n_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 information
- from_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 date
- to_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

- 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

- 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

- 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)

- 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 future
- content(string): The information you wish to memorize

If you have SkyDeck AI Helper app installed, you can search for "Rememberizer" and install the rememberizer-mcp-ea-ck.

Add this to yourclaude_desktop_config.json:

"mcpServers": { "rememberizer": { "command": "uvx", "args": ["rememberizer-mcp-ea-ck"] }, }

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

Give me a quick summary about "..."

This project is licensed under the Apache License 2.0 - see theLICENSEfile for details.

Collaborative word processor you can use with your agent