Rememberizer

Provides access to internal documents and Slack discussions plus tools to memorize, search, and retrieve semantically similar knowledge.
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6 months ago

First Indexed

3 months ago

Catalog Refreshed

Documentation & install

Readme and setup notes from the catalogue, plus a client-ready config you can copy for your MCP host.

Installation

Add the following to your MCP client configuration file.

Configuration

View docs
{
  "mcpServers": {
    "skydeckai-rememberizer-mcp-test-ck": {
      "command": "uvx",
      "args": [
        "rememberizer-mcp-test-ck"
      ]
    }
  }
}

You have access to the Rememberizer Common Knowledge MCP Server, which exposes internal documents and Slack discussions as resources and provides tools to memorize, search, and retrieve semantically similar knowledge. This server helps you quickly surface relevant internal knowledge and keep information organized for future recall.

How to use

You interact with the Rememberizer MCP Server through a local or cloud MCP client. Once configured, you can perform searches across your personal or team knowledge base, save new pieces of information for future recall, and retrieve semantically similar knowledge chunks based on a text input. You can use it to answer questions about your internal documents, summarize conversations, or list available documents and resources. Typical workflows include saving context snippets you want to remember and querying for related knowledge when you need to connect ideas or verify what you know.

How to install

Prerequisites: ensure you have access to the MPC client tooling that can load and run MCP servers, such as the SkyDeck AI Helper App. You should also have a local configuration step ready to connect your client to the Rememberizer MCP Server.

Step 1: Install or prepare the client environment (SkyDeck AI Helper App is recommended). Step 2: Add the MCP server configuration to your client. Step 3: Start the MCP server connection using the provided command.

Step 4: Verify the connection by issuing a simple query like asking for a list of documents or requesting a quick summary. Step 5: Save a sample piece of information to Rememberizer so you can test retrieval with the semantic search tools.

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

Additional sections

Configuration details, security notes, and troubleshooting help are provided to ensure you can operate the Rememberizer MCP Server reliably. Use the configuration in your client to connect to the server, review which resources are available, and understand how to use the memory and search tools to enhance knowledge retrieval.

Available tools

retrieve_semantically_similar_internal_knowledge

Send a block of text and retrieve cosine-similar matches from your Rememberizer internal knowledge repository. Input includes the text to match, optional result count, and optional date filters. Returns: text results.

smart_search_internal_knowledge

Perform an agentic search across personal/team internal knowledge repositories, returning results from sources like Slack discussions, Gmail, Dropbox, Google Drive, and uploaded files. Input includes the query, optional context, and optional date filters. Returns: text results.

list_internal_knowledge_systems

List available sources of internal knowledge (e.g., Slack, Gmail, Dropbox, Google Drive, uploaded files) that you can search or query.

rememberizer_account_information

Retrieve information about your Rememberizer.ai account, including holder name and email address.

list_personal_team_knowledge_documents

Fetch a paginated list of documents in your personal/team knowledge system, including various sources mentioned above.

remember_this

Save a piece of text information to your Rememberizer.ai knowledge system so that it may be recalled later by search tools.

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