Anneal
io.github.imsovikdev1.2.6更新於 Oct 6, 2026
Zero-friction personal operating system: habits, tasks, and FSRS-5 study retention via remote MCP.
概覽
一個遠端 MCP 伺服器,連接個人作業系統,統一管理習慣、任務與 FSRS-5 間隔重複學習複習。
- 功能
- Anneal 在五個模組中提供型別化工具:習慣(建立與記錄習慣、查詢連續天數與達成率)、學習(以 FSRS-5 排程建立與複習卡片)、資料庫(牌組、資料夾、產生教學大綱)、帳號(個人資料、匯出、稽核記錄、配額)以及中繼資訊(工具與能力自我檢視)。README 聲稱共有 102 個工具。所有記錄寫入單一的僅追加事件帳本,刪除會留下墓碑標記而非抹除歷史。
- 適用情境
- 如果你希望助理記錄與回顧習慣、管理任務生命週期,或在同一個帳號下進行間隔重複學習,就值得加入。適合想把習慣、任務與卡片集中在一個由助理驅動的地方、而不是分散在多個應用程式的使用者。
- 執行需求
- 遠端 streamable HTTP 端點,不需要本機執行環境或安裝套件。驗證採用帶 PKCE 的 OAuth 2.1;README 的桌面設定範例也顯示 Anneal API 金鑰的 Authorization Bearer 標頭。需要 Anneal 帳號與網路連線。
安裝
在 SourceWeft 中
- 開啟 儀表板中的 Anneal,將其新增到工作區。
- 為需要使用其工具的對話啟用該服務。
Web executable,透過 Streamable HTTP。 遠端服務在工作區中設定後即可從網頁執行環境執行。
其他 MCP 客戶端
把它新增到你客戶端的 mcpServers 設定中。
{
"mcpServers": {
"anneal": {
"type": "http",
"url": "https://anneal-os.vercel.app/api/mcp"
}
}
}README
[Anneal MCP Official Vector Mark]
Anneal MCP Server
Official Model Context Protocol Remote Server for the Anneal Personal Operating System
Connect Claude, ChatGPT, Gemini, and Cursor directly to your unified personal OS — habits, task lifecycles, and FSRS-5 spaced repetition retention in a single append-only ledger.
[CI Manifest Check] [Protocol Specification] [Transport Type] [Security Standard] [Gemini Compatible] [License]
Instant 1-Click AI Client Integrations
[Add to Claude] [Add to ChatGPT] [Add to Gemini] [Install with Smithery]
Live Web Application · Server Endpoint · Architecture Guide · Submit Feedback
What is Anneal MCP?
The Anneal Model Context Protocol (MCP) Server is an enterprise-grade remote integration endpoint that allows frontier AI models (Anthropic Claude, OpenAI ChatGPT, Google Gemini, and Cursor) to read, record, and optimize your personal data stream.
Unlike fragmented tools that isolate your tasks in one app, your habits in another, and your study revision in a third, Anneal unifies all three disciplines in a single, append-only event ledger. Through this server, AI agents act directly on your behalf:
- Habits Engine: Query adherence, log completions, calculate streaks, and project behavioral velocity.
- Task Lifecycle: Organize deadlines, prioritize discrete deliverables, and record completed tasks with zero modal friction.
- Cognitive Retention Engine: Generate comprehensive academic syllabi, create flashcard decks, and schedule optimal review intervals powered by FSRS-5 (Free Spaced Repetition Scheduler).
Competitive Architecture Benchmark
Why frontier AI agents perform better with Anneal MCP compared to legacy productivity integrations:
Technical Specifications
Client Setup Guides
1. Anthropic Claude (Web & Desktop)
A. Claude.ai Web Interface (1-Click)
- Click the 1-Click Claude Connect deep-link.
- Claude.ai will open the Add custom connector modal with name
Annealand the production URL pre-filled. - Click Add, grant consent, and start using Anneal tools in any conversation.
B. Claude Desktop (claude_desktop_config.json)
Add the following entry to your configuration file (~/Library/Application Support/Claude/claude_desktop_config.json on macOS or %APPDATA%\Claude\claude_desktop_config.json on Windows):
2. OpenAI ChatGPT
- Navigate to ChatGPT Settings → Connected Apps / Plugins.
- Click Add Remote Tool / Plugin.
- Input server endpoint:
- Authenticate via standard OAuth 2.1 consent screen.
3. Google Gemini & Gemini Spark
Install directly via the Gemini CLI:
Gemini Spark Note: Anneal includes automatic Protobuf payload sanitization to prevent gRPC 13 schema exceptions.
4. Cursor & Windsurf IDEs
Install using the Smithery package runner:
5. Cline / Roo Code / Continue.dev
Add the remote HTTP endpoint to your IDE extension settings:
Tool Catalog & Modules (102 Tools)
Anneal exposes 102 typed tools organized across 5 domain modules:
AI Agent Prompt Cookbook
Copy and paste these verified interaction recipes into Claude, ChatGPT, or Gemini:
Scenario 1: Habit Tracking & Reflection
"Inspect my Anneal habits for the past 14 days. Show my current streaks, identify any habit at risk of lapse, and log a 45-minute meditation session for today."
Scenario 2: FSRS-5 Spaced Repetition Review
"Check Anneal for all flashcards due for review today in my 'Machine Learning' deck. Test me one card at a time, grade my answers, and record my recall rating using FSRS-5."
Scenario 3: Automated Syllabus Generation
"I need to master Linear Algebra in 6 weeks. Generate a structured syllabus in Anneal with daily study targets, create flashcard decks for each chapter, and schedule initial retention reviews."
Frequently Asked Questions (FAQ)
How does Anneal protect user privacy during AI interactions?
Anneal implements zero-trust authorization. All requests are authenticated via OAuth 2.1 with PKCE. Tools only operate within the authenticated user's ActorContext. No database credentials or cross-tenant records are ever accessible.
Does Anneal delete historical logs when habits or tasks are removed?
No. Anneal uses an immutable append-only event ledger. Deletions create tombstone markers, and updates record forward pointers (supersedesId). Historical records remain intact for longitudinal data visualization.
What spaced repetition model does Anneal use?
Anneal uses FSRS-5 (Free Spaced Repetition Scheduler), an advanced 9-parameter memory algorithm that models memory stability and retrievability based on cognitive decay curves, outperforming legacy SM-2 models by over 18%.
Registry Indexing & Discovery
Anneal MCP is published and indexed across primary registries:
- Model Context Protocol Registry:
modelcontextprotocol/registryviaserver.json - Smithery:
smithery.aiviasmithery.yaml - Google Gemini Extensions: via
gemini-extension.json
License
This MCP distribution repository and its client manifests are licensed under the MIT License.
來源:README.md,提交 353c1b6
工具
0版本歷史
1- v1.2.6最新Sep 16, 2026

