Rememberizer MCP Server for Common Knowledge
Access personal and team knowledge repositories, including documents and Slack discussions.
Rememberizer MCP Server for Common Knowledge
This is my test CK
Please note that rememberizer-mcp-test-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-test-ck.

Configuration
Usage with Claude Desktop
Add this to your claude_desktop_config.json:
"mcpServers": {
"rememberizer": {
"command": "uvx",
"args": ["rememberizer-mcp-test-ck"]
},
}
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.
Related Servers
Docs MCP
A server for efficiently searching and referencing user-configured local documents.
Korea Tourism API MCP Server
Search for South Korean tourism information, including festivals, temples, and restaurants, using the official Korea Tourism Organization API.
WebSearch-MCP
Self-hosted Websearch API
Hugeicons MCP Server
Search for icons from the Hugeicons library and get usage documentation.
Amazon Product Advertising API
Integrate with the Amazon Product Advertising API to search for products and access product information.
Volcengine Knowledge Base MCP
Provides knowledge base search and dialogue completion using the Volcengine Knowledge Base service. Requires external credential configuration.
SearchAPI Agent
An MCP agent that integrates various search tools using the SearchAPI service. Requires SearchAPI and Google API keys.
Gemini Search
Generates responses using the Gemini API and Google Search for up-to-date information.
NYTimes Article Search
Search for New York Times articles from the last 30 days using a keyword.
Brave Search
A server for Brave Search, enabling web search capabilities via its API.