{"type":"mcp_server","name":"mcp-server-rememberizer","description":"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","category":"Search & Knowledge","language":"Python","stars":35,"forks":1,"owner":"skydeckai","github_url":"https://github.com/skydeckai/mcp-server-rememberizer","homepage":null,"setup":"## Setup\n\n### Installing via Smithery\n\nTo install Rememberizer Server for Claude Desktop automatically via [Smithery](https://smithery.ai/server/mcp-server-rememberizer):\n\n```bash\nnpx -y @smithery/cli install mcp-server-rememberizer --client claude\n```\n\n### Using uv (recommended)\n\nWhen 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_.\n\n## Configuration\n\n### Environment Variables\n\nThe following environment variables are required:\n\n- `REMEMBERIZER_API_TOKEN`: Your Rememberizer API token\n\nYou can register an API key by create your own [Common Knowledge in Rememberizer](https://docs.rememberizer.ai/developer/registering-and-using-api-keys).\n\n### Usage with Claude Desktop\n\nAdd this to your `claude_desktop_config.json`:\n\n```json\n\"mcpServers\": {\n  \"rememberizer\": {\n      \"command\": \"uvx\",\n      \"args\": [\"mcp-server-rememberizer\"],\n      \"env\": {\n        \"REMEMBERIZER_API_TOKEN\": \"your_rememberizer_api_token\"\n      }\n    },\n}\n```\n\n## Debugging\n\nFor the best debugging experience, use the [MCP Inspector](https://github.com/modelcontextprotocol/inspector).\n\nYou can launch the MCP Inspector via [`npm`](https://docs.npmjs.com/downloading-and-installing-node-js-and-npm) with this command:\n\n```bash\nnpx @modelcontextprotocol/inspector uv --directory /path/to/directory/mcp-servers-rememberizer/src/mcp_server_rememberizer run mcp-server-rememberizer\n```\n\nUpon launching, the Inspector will display a URL that you can access in your browser to begin debugging.","tools":"## Available Tools\n\n1.  `rememberizer_search` (Search for documents by semantic similarity.)\n2.  `rememberizer_agentic_search` (Search for documents by semantic similarity with LLM Agents augmentation.)\n3.  `rememberizer_list_integrations` (List available data source integrations.)\n4.  `rememberizer_account_information` (Get account information.)\n5.  `rememberizer_list_documents` (Retrieves a paginated list of all documents.)","faq":null,"created_at":"2024-12-10T02:56:42+00:00","updated_at":"2025-03-16T12:55:04+00:00","source_url":"https://model-context-protocol.com/servers/mcp-server-llm-document-slack-search","related_articles":[]}