Rememberizer Server
БесплатноНе проверенEnables querying and managing personal/team internal knowledge from sources like Slack, Gmail, and Drive through semantic search and retrieval.
Описание
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.
Установка Rememberizer Server
У этого сервера нет опубликованного пакета — он собирается из исходников. Открой репозиторий и следуй инструкции в README.
▸ github.com/skydeckai/rememberizer-mcp-test-hostingFAQ
Rememberizer Server MCP бесплатный?
Да, Rememberizer Server MCP бесплатный — установка в пару кликов через Unyly без оплаты.
Нужен ли API-ключ для Rememberizer Server?
Нет, Rememberizer Server работает без API-ключей и переменных окружения.
Rememberizer Server — hosted или self-hosted?
Доступен hosted-вариант: Unyly запускает сервер в облаке, локальная установка не обязательна.
Как установить Rememberizer Server в Claude Desktop, Claude Code или Cursor?
Открой Rememberizer Server на unyly.org, выбери вкладку своего клиента (Claude Desktop, Claude Code, Cursor) и нажми Install — конфиг сгенерируется автоматически, без правки JSON.
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