Rememberizer MCP Server

# MCP Get Community Servers [](https://smithery.ai/server/mcp-server-rememberizer) A [Model Context Protocol](https://www.anthropic.com/news/model-context-protocol) server for interacting with Rememberizer's document and knowledge management API. This server enables Large Language Models to search, retrieve, and manage documents and integrations through Rememberizer. Please note that `mcp-server-rememberizer` 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 1. `rememberizer_search` - Search for documents by semantic similarity - Input: - `q` (string): Up to a 400-word sentence to find semantically similar chunks of knowledge - `n` (integer, optional): Number of similar documents to return (default: 5) - `from` (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 date (default: None) - `to` (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 (default: None) - Returns: Search results as text output 2. `rememberizer_agentic_search` - Search for documents by semantic similarity with LLM Agents augmentation - Input: - `query` (string): Up to a 400-word sentence to find semantically similar chunks of knowledge. This query can be augmented by our LLM Agents for better results. - `n_chunks` (integer, optional): Number of similar documents to return (default: 5) - `user_context` (string, optional): The additional context for the query. You might need to summarize the conversation up to this point for better context-awared results (default: None) - `from` (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 date (default: None) - `to` (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 (default: None) - Returns: Search results as text output 3. `rememberizer_list_integrations` - List available data source integrations - Input: None required - Returns: List of available integrations 4. `rememberizer_account_information` - Get account information - Input: None required - Returns: Account information details 5. `rememberizer_list_documents` - Retrieves a paginated list of all documents - 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 ## Installation ### 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 Since MCP servers run over stdio, debugging can be challenging. For the best debugging experience, we strongly recommend using 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. ## License This MCP server is licensed under the MIT License. This means you are free to use, modify, and distribute the software, subject to the terms and conditions of the MIT License. For more details, please see the LICENSE file in the project repository.