# mcp-server-rememberizer

> MCP Server

This repository hosts an MCP server for Rememberizer, enabling Large Language Models to search, retrieve, and manage documents and Slack discussions through Rememberizer's API. It offers semantic search tools with

## Overview

- **Category:** Search & Knowledge
- **Language:** Python
- **Stars:** 35
- **Forks:** 1
- **Owner:** skydeckai
- **GitHub:** https://github.com/skydeckai/mcp-server-rememberizer
- **Created:** 2024-12-10T02:56:42+00:00
- **Updated:** 2025-03-16T12:55:04+00:00
- **Source:** https://model-context-protocol.com/servers/mcp-server-llm-document-slack-search

## Setup

## Setup

### Installing via Smithery

To install Rememberizer Server for Claude Desktop automatically via [Smithery](https://smithery.ai/server/mcp-server-rememberizer):

```bash
npx -y @smithery/cli install mcp-server-rememberizer --client claude
```

### Using uv (recommended)

When using [`uv`](https://docs.astral.sh/uv/), no specific installation is needed; use [`uvx`](https://docs.astral.sh/uv/guides/tools/) to directly run _mcp-server-rememberizer_.

## Configuration

### Environment Variables

The following environment variables are required:

- `REMEMBERIZER_API_TOKEN`: Your Rememberizer API token

You can register an API key by create your own [Common Knowledge in Rememberizer](https://docs.rememberizer.ai/developer/registering-and-using-api-keys).

### Usage with Claude Desktop

Add this to your `claude_desktop_config.json`:

```json
"mcpServers": {
  "rememberizer": {
      "command": "uvx",
      "args": ["mcp-server-rememberizer"],
      "env": {
        "REMEMBERIZER_API_TOKEN": "your_rememberizer_api_token"
      }
    },
}
```

## Debugging

For the best debugging experience, use the [MCP Inspector](https://github.com/modelcontextprotocol/inspector).

You can launch the MCP Inspector via [`npm`](https://docs.npmjs.com/downloading-and-installing-node-js-and-npm) with this command:

```bash
npx @modelcontextprotocol/inspector uv --directory /path/to/directory/mcp-servers-rememberizer/src/mcp_server_rememberizer run mcp-server-rememberizer
```

Upon launching, the Inspector will display a URL that you can access in your browser to begin debugging.

## Tools

## Available Tools

1.  `rememberizer_search` (Search for documents by semantic similarity.)
2.  `rememberizer_agentic_search` (Search for documents by semantic similarity with LLM Agents augmentation.)
3.  `rememberizer_list_integrations` (List available data source integrations.)
4.  `rememberizer_account_information` (Get account information.)
5.  `rememberizer_list_documents` (Retrieves a paginated list of all documents.)