{"id":26937700,"url":"https://github.com/skydeckai/mcp-server-rememberizer","last_synced_at":"2025-12-25T03:17:02.117Z","repository":{"id":267400091,"uuid":"901090359","full_name":"skydeckai/mcp-server-rememberizer","owner":"skydeckai","description":"An MCP Server to enable global access to Rememberizer","archived":false,"fork":false,"pushed_at":"2025-07-29T08:04:50.000Z","size":42,"stargazers_count":30,"open_issues_count":1,"forks_count":4,"subscribers_count":2,"default_branch":"main","last_synced_at":"2025-07-29T10:30:00.302Z","etag":null,"topics":["mcp","rememberizer","skydeckai"],"latest_commit_sha":null,"homepage":"","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"apache-2.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/skydeckai.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null,"zenodo":null}},"created_at":"2024-12-10T02:56:42.000Z","updated_at":"2025-07-29T08:04:51.000Z","dependencies_parsed_at":null,"dependency_job_id":"4789e77f-279a-43f4-b7a9-b2ccca206339","html_url":"https://github.com/skydeckai/mcp-server-rememberizer","commit_stats":null,"previous_names":["skydeckai/mcp-server-rememberizer"],"tags_count":3,"template":false,"template_full_name":null,"purl":"pkg:github/skydeckai/mcp-server-rememberizer","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/skydeckai%2Fmcp-server-rememberizer","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/skydeckai%2Fmcp-server-rememberizer/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/skydeckai%2Fmcp-server-rememberizer/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/skydeckai%2Fmcp-server-rememberizer/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/skydeckai","download_url":"https://codeload.github.com/skydeckai/mcp-server-rememberizer/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/skydeckai%2Fmcp-server-rememberizer/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":28017918,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","status":"online","status_checked_at":"2025-12-25T02:00:05.988Z","response_time":58,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["mcp","rememberizer","skydeckai"],"created_at":"2025-04-02T13:15:28.208Z","updated_at":"2025-12-25T03:17:02.112Z","avatar_url":"https://github.com/skydeckai.png","language":"Python","readme":"[![MseeP.ai Security Assessment Badge](https://mseep.net/pr/skydeckai-mcp-server-rememberizer-badge.png)](https://mseep.ai/app/skydeckai-mcp-server-rememberizer)\n\n# MCP Server Rememberizer\n\n[![Verified on MseeP](https://mseep.ai/badge.svg)](https://mseep.ai/app/fe7a40fd-30c1-4767-84f9-d33bf997497e)\n\nA [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.\n\nPlease note that `mcp-server-rememberizer` is currently in development and the functionality may be subject to change.\n\n## Components\n\n### Resources\n\nThe server provides access to two types of resources: Documents or Slack discussions\n\n### Tools\n\n1. `retrieve_semantically_similar_internal_knowledge`\n\n    - Send a block of text and retrieve cosine similar matches from your connected Rememberizer personal/team internal knowledge and memory repository\n    - Input:\n        - `match_this` (string): Up to a 400-word sentence for which you wish to find semantically similar chunks of knowledge\n        - `n_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 information\n        - `from_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 date\n        - `to_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\n    - Returns: Search results as text output\n\n2. `smart_search_internal_knowledge`\n\n    - 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\n    - Input:\n        - `query` (string): Up to a 400-word sentence for which you wish to find semantically similar chunks of knowledge\n        - `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\n        - `n_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 information\n        - `from_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 date\n        - `to_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\n    - Returns: Search results as text output\n\n3. `list_internal_knowledge_systems`\n\n    - List the sources of personal/team internal knowledge. These may include Slack discussions, Gmail, Dropbox documents, Google Drive documents, and uploaded files\n    - Input: None required\n    - Returns: List of available integrations\n\n4. `rememberizer_account_information`\n\n    - Get information about your Rememberizer.ai personal/team knowledge repository account. This includes account holder name and email address\n    - Input: None required\n    - Returns: Account information details\n\n5. `list_personal_team_knowledge_documents`\n\n    - 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\n    - Input:\n        - `page` (integer, optional): Page number for pagination, starts at 1 (default: 1)\n        - `page_size` (integer, optional): Number of documents per page, range 1-1000 (default: 100)\n    - Returns: List of documents\n\n6. `remember_this`\n\n    - 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\n    - Input:\n        - `name` (string): Name of the information. This is used to identify the information in the future\n        - `content` (string): The information you wish to memorize\n    - Returns: Confirmation data\n\n## Installation\n\n### Manual Installation\n\n```bash\nuvx mcp-server-rememberizer\n```\n\n### Via MseeP AI Helper App\n\nIf you have MseeP AI Helper app installed, you can search for \"Rememberizer\" and install the mcp-server-rememberizer.\n\n![MseeP AI Helper](https://www.gitbook.com/cdn-cgi/image/dpr=2,width=760,onerror=redirect,format=auto/https%3A%2F%2Ffiles.gitbook.com%2Fv0%2Fb%2Fgitbook-x-prod.appspot.com%2Fo%2Fspaces%252FyNqpTh7Mh66N0RnO0k24%252Fuploads%252FuTpQuJffWohPRTvjmyVe%252FScreenshot%25202025-07-29%2520at%252014.43.12.png%3Falt%3Dmedia%26token%3D7f046f3b-dc69-4f09-8f8c-978097f0066e)\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 creating 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### Usage with MseeP AI Helper App\n\nAdd the env REMEMBERIZER_API_TOKEN to mcp-server-rememberizer.\n\n![MseeP AI Helper Configuration](https://www.gitbook.com/cdn-cgi/image/dpr=2,width=760,onerror=redirect,format=auto/https%3A%2F%2Ffiles.gitbook.com%2Fv0%2Fb%2Fgitbook-x-prod.appspot.com%2Fo%2Fspaces%252FyNqpTh7Mh66N0RnO0k24%252Fuploads%252FHxisSUT1anmCpoHhW8CJ%252FScreenshot%25202025-07-29%2520at%252014.45.42.png%3Falt%3Dmedia%26token%3D1332394a-cdbe-4e7b-9099-1dbf14e58ffb)\n\nWith support from the Rememberizer MCP server, you can now ask the following questions in your Claude Desktop app or SkyDeck AI GenStudio\n\n-   _What is my Rememberizer account?_\n\n-   _List all documents that I have there._\n\n-   _Give me a quick summary about \"...\"_\n\n-   and so on...\n\nTo learn more about Rememberizer MCP Server: https://docs.rememberizer.ai/personal-use/integrations/rememberizer-mcp-servers\n\n## License\n\nThis project is licensed under the Apache License 2.0 - see the [LICENSE](LICENSE) file for details.\n","funding_links":[],"categories":["AI Memory \u0026 RAG","MCP 服务器精选列表","Table of Contents","Community Servers","🤖 AI/ML","Python","Note-Taking and Knowledge Bases","Knowledge \u0026 Memory","Mcp Server Directories \u0026 Lists","🗂️ Extensions by Category"],"sub_categories":["Memory","🧠 知识、记忆与 RAG","Other Tools and Integrations","How to Submit","🧠 Knowledge Base"],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fskydeckai%2Fmcp-server-rememberizer","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fskydeckai%2Fmcp-server-rememberizer","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fskydeckai%2Fmcp-server-rememberizer/lists"}