Rememberizer Server
FreeNot checkedEnables querying and managing personal/team internal knowledge from sources like Slack, Gmail, and Drive through semantic search and retrieval.
About
Enables querying and managing personal/team internal knowledge from sources like Slack, Gmail, and Drive through semantic search and retrieval.
README
Test MCP server hosting with MSeeP
Please note that rememberizer-mcp-test-hosting 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): A query of up to 400 words 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): A query of up to 400 words 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-aware 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 MseeP AI Helper App
If you have the MseeP AI Helper app installed, you can search for "Rememberizer" and install the rememberizer-mcp-test-hosting.
Configuration
Usage with Claude Desktop
Add this to your claude_desktop_config.json:
"mcpServers": {
"rememberizer": {
"command": "uvx",
"args": ["rememberizer-mcp-test-hosting"]
}
}
Usage with MseeP 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.
Installing Rememberizer Server
This server has no published package — it is built from source. Open the repository and follow its README.
▸ github.com/skydeckai/rememberizer-mcp-test-hostingFAQ
Is Rememberizer Server MCP free?
Yes, Rememberizer Server MCP is free — one-click install via Unyly at no cost.
Does Rememberizer Server need an API key?
No, Rememberizer Server runs without API keys or environment variables.
Is Rememberizer Server hosted or self-hosted?
A hosted option is available: Unyly runs the server in the cloud, no local setup required.
How do I install Rememberizer Server in Claude Desktop, Claude Code or Cursor?
Open Rememberizer Server on unyly.org, pick your client tab (Claude Desktop, Claude Code, Cursor) and press Install — the config is generated automatically, no JSON editing.
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