Mirror Memory MCP Server

io.github.Tr1ckyMag1ca1由 GitHub 账号 Tr1ckyMag1ca1 发布v1.0.0更新于 Nov 2, 2026

Personal knowledge base MCP server with semantic search, auto-categorization, metadata extraction

发布方自己的服务：Memory.fit

已验证Streamable HTTP可网页运行知识与记忆 AI 与机器学习

服务详情

标识符: io.github.Tr1ckyMag1ca1/mcp-server
传输: Streamable HTTP
运行时: Web executable
信任: Verified
发布于: Sep 16, 2026

安全提示

MCP 服务会接收对话中的工具调用请求，并可能执行外部操作。启用前请先了解该服务能做什么，并只授予它所需的权限。

注册中心已验证此条目所属的 GitHub 账号 Tr1ckyMag1ca1。这并不表明该账号就是产品方。

SourceWeft 的检查只涵盖条目是否完整、端点是否响应；不审查服务器的代码，也不审查其工具的行为。

在 README 中添加徽章

向读者展示该 MCP 服务已收录于 SourceWeft，徽章链接到本页。

[![Listed on SourceWeft](https://sourceweft.com/badge/mcp/io.github.Tr1ckyMag1ca1%2Fmcp-server.svg)](https://sourceweft.com/mcp/io.github.Tr1ckyMag1ca1%2Fmcp-server?utm_source=readme&utm_medium=badge)

概览

AI 生成的概览

Mirror Memory 是一个托管的个人知识库，让助手保存、自动分类并语义检索你的记忆。

可以做什么: 按语义相似度搜索记忆，使用用户问题中的具体词语
保存新的想法，由 AI 自动分类并提取人物、主题、待办事项和日期
列出可用的记忆分类，并获取最近保存的记忆
记忆会被向量化、去重，并处于活跃、归档或已被取代的状态
适用场景: 适合希望助手跨会话、跨工具记住你的偏好、目标、人物和想法，并能按含义而非关键词回忆的场景。
运行要求: 远程 Streamable HTTP 端点，无需本地运行时。需要 Mirror Memory 账号，并在应用设置中生成 API 密钥，通过 Authorization Bearer 请求头发送。MCP 访问需要付费的 Solo Pro 或 Lifetime 套餐。

安装前请注意

API 密钥属于凭据，通过 Authorization 请求头发送，需妥善保管。保存的记忆属于个人内容，会发送给第三方服务；README 称其只记录互动事件而不记录内容。写入记忆会改动已存数据，且 MCP 访问需要付费订阅。

安装

在 SourceWeft 中

打开控制台中的 Mirror Memory MCP Server，将其添加到工作区。
为需要使用其工具的对话启用该服务。

Web executable，通过 Streamable HTTP。远程服务在工作区中配置后即可从网页运行时运行。

交给智能体安装

把这段提示词粘贴到 Claude Code、Codex、Cursor 等智能体，或 SourceWeft 对话中。智能体会读取该服务器的安装指南，先向你展示发布者、端点和登录方式，经你同意后再把它添加到你的客户端。密钥不会写进任何命令。

阅读 https://sourceweft.com/mcp/io.github.Tr1ckyMag1ca1%2Fmcp-server/install.md，并按其中说明把这个 MCP 服务器接入我的客户端。修改任何配置之前，先告诉我它的发布者、端点和登录方式，等我确认。不要把 API 密钥写进命令或我会提交的文件；问我密钥应从哪里获取。

查看智能体所依据的安装指南

其他 MCP 客户端

把它添加到你客户端的 mcpServers 配置中。

{
  "mcpServers": {
    "mirror-memory": {
      "type": "http",
      "url": "https://hcelnlqmgddxzvjegpdr.supabase.co/functions/v1/mcp-server"
    }
  }
}

README

Mirror Memory MCP Server

Give your AI a memory. Mirror Memory is a personal knowledge base that lets Claude, ChatGPT, Cursor, and any MCP-compatible AI remember what matters to you — your preferences, experiences, goals, people, and ideas.

Capture thoughts via the web app, Telegram, or directly through MCP tools. Search them semantically. Your AI assistant becomes one that actually knows you.

Website: mirrormemory.ai App: app.mirrormemory.ai

MCP Tools

Tool	Description
`search_memories`	Semantic similarity search across your memories. Use specific terms from the user's question for best results.
`store_memory`	Save a new thought or piece of information. Auto-categorized via AI, auto-extracts people, topics, action items, and dates.
`list_categories`	List all available memory categories (Ideas, Tasks, Notes, People, Work, etc.).
`get_recent_memories`	Retrieve your most recently stored memories.

Quick Setup

1. Get your API key

2. Connect your AI

Claude Desktop (~/Library/Application Support/Claude/claude_desktop_config.json):

json

{  "mcpServers": {    "mirror-memory": {      "url": "https://hcelnlqmgddxzvjegpdr.supabase.co/functions/v1/mcp-server",      "headers": {        "Authorization": "Bearer YOUR_API_KEY"      }    }  }}

{  "mcpServers": {    "mirror-memory": {      "url": "https://hcelnlqmgddxzvjegpdr.supabase.co/functions/v1/mcp-server",      "headers": {        "Authorization": "Bearer YOUR_API_KEY"      }    }  }}

Claude Code (~/.claude/settings.json):

json

{  "mcpServers": {    "mirror-memory": {      "url": "https://hcelnlqmgddxzvjegpdr.supabase.co/functions/v1/mcp-server",      "headers": {        "Authorization": "Bearer YOUR_API_KEY"      }    }  }}

{  "mcpServers": {    "mirror-memory": {      "url": "https://hcelnlqmgddxzvjegpdr.supabase.co/functions/v1/mcp-server",      "headers": {        "Authorization": "Bearer YOUR_API_KEY"      }    }  }}

Cursor (.cursor/mcp.json):

json

{  "mcpServers": {    "mirror-memory": {      "url": "https://hcelnlqmgddxzvjegpdr.supabase.co/functions/v1/mcp-server",      "headers": {        "Authorization": "Bearer YOUR_API_KEY"      }    }  }}

{  "mcpServers": {    "mirror-memory": {      "url": "https://hcelnlqmgddxzvjegpdr.supabase.co/functions/v1/mcp-server",      "headers": {        "Authorization": "Bearer YOUR_API_KEY"      }    }  }}

Windsurf, Cline, or any MCP client — use the same URL and API key pattern above.

3. Start talking

Once connected, your AI will automatically search your memories for relevant context and store new information you share. No special commands needed.

How It Works

You say something → AI calls store_memory → embedded + categorized + metadata extracted → storedYou ask something → AI calls search_memories → semantic vector search → relevant memories returned

You say something → AI calls store_memory → embedded + categorized + metadata extracted → storedYou ask something → AI calls search_memories → semantic vector search → relevant memories returned

Every memory is:

Embedded as a 1536-dim vector for semantic search
Auto-categorized into one of 12+ categories via AI
Metadata-enriched — people mentioned, action items, topics, dates, and knowledge type are extracted automatically
Deduplicated via SHA-256 content fingerprinting