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Sequential Thinking Working Notes

作者:arben-adm版本 0.7.0i★ –i在你的电脑上运行
注册名称io.github.arben-adm/mcp-sequential-thinking

安装

概览

作者提供的说明(英文原文)

Local working notes, decisions, evidence and resumable sessions with SQLite persistence.

PopNx MCP 的三大支柱

这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。

它能帮你做什么

我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。

  • 连接方式: 在你的电脑上运行
  • 传输方式: stdio
  • 分类: 文档、表格与办公

安装

选择你使用的 AI 应用,然后复制设置。

安装之前

你需要

  • PyPI已安装 Python 的 uv(用于 uvx 命令)

你用的是哪个应用?

在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。

打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json

{
  "mcpServers": {
    "sequential-thinking": {
      "command": "uvx",
      "args": [
        "mcp-sequential-thinking"
      ],
      "env": {
        "MCP_STORAGE_DIR": "your-value"
      }
    }
  }
}

在终端中运行这条命令

claude mcp add sequential-thinking --env MCP_STORAGE_DIR=your-value -- uvx mcp-sequential-thinking

运行前请先填写空着的值。

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json

{
  "mcpServers": {
    "sequential-thinking": {
      "command": "uvx",
      "args": [
        "mcp-sequential-thinking"
      ],
      "env": {
        "MCP_STORAGE_DIR": "your-value"
      }
    }
  }
}

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

{
  "servers": {
    "sequential-thinking": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "mcp-sequential-thinking"
      ],
      "env": {
        "MCP_STORAGE_DIR": "your-value"
      }
    }
  }
}

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

这个服务器在你的电脑上运行,而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。

你的选择通过 Cookie 保存在这台设备上,无需账户。

需要你填写的值

  • MCP_STORAGE_DIR env
    Local plaintext storage directory; defaults to ~/.mcp_sequential_thinking

这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。

它能做什么

它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。

基础检查i

我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月7日

  • ✓ 通过

    作者与仓库一致

    注册名称已通过 GitHub 账户 arben-adm 验证,该账户拥有此仓库

  • … 尚未检查

    仍在维护

    我们还没有从 GitHub 读取这个仓库

  • … 尚未检查

    有许可证

    我们还没有从 GitHub 读取这个仓库

  • – 不适用

    端点有响应

    它在你的电脑上运行,没有互联网端点

  • – 不适用

    使用 OAuth 登录

    在你的电脑上运行,改用本地设置

  • … 尚未检查

    工具描述中没有隐藏指令

    它在你的电脑上运行;我们只能读取互联网端点的工具列表

与“文档、表格与办公”中的其他服务器比较i

  • 星标数多于此分类中其他 2183 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 2183 个服务器的 67% 更新
  • 基础检查结果等于或优于此分类中其他 2183 个服务器的 100%

与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。

常见问题

Sequential Thinking Working Notes 安全吗?

它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。

它需要哪些密钥或代码?

注册中心没有列出必需的密钥,不过有些服务器会在首次使用时要求你登录。

它在我的电脑上运行还是在云端?

它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。

它还在维护吗?

GitHub 仓库最后更新于–,最新版本(0.7.0)于16天前进入注册中心。

哪些应用可以使用它?

支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 Python (uv)。

有什么可以替代它?

同一分类中有:Agent-Native Calendar, Excel MCP Server, MCP Server for Excel

替代选择

同一分类中其他作者的服务器,按星标数排序。

如何看卡片:★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i

Agent-Native Calendar

作者:BuilderIO

Agent-Native Google Calendar - manage events, sync, and public booking

在云端运行★ 7,620MIT2个月前更新
安装

Excel MCP Server

作者:haris-musa

Create and edit Excel files with AI: charts, PivotTables, formulas. No Excel needed.

在你的电脑上运行★ 4,276MIT6天前更新
安装

MCP Server for Excel

作者:sbroenne

Excel automation for AI - Sheets, Power Query, DAX, VBA, Tables, Ranges and more. Windows only.

在你的电脑上运行★ 847MIT3天前更新
安装

作者的 README

打开 README

按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。

MCP Sequential Thinking

A local MCP server for working notes you can resume: evidence, decisions, risks and next actions for a difficult task, stored durably in SQLite and readable after any restart. It records what the caller writes; it does not generate, judge or improve reasoning, and it never asks for hidden chain-of-thought.

Installation

Published on PyPI and in the MCP Registry as io.github.arben-adm/mcp-sequential-thinking. With uv installed, uvx mcp-sequential-thinking runs it without a manual install (pin with uvx mcp-sequential-thinking@0.7.0). MCP_STORAGE_DIR is optional.

Claude Code

claude mcp add working-notes -- uvx mcp-sequential-thinking                   # this project only

claude mcp add --scope user working-notes -- uvx mcp-sequential-thinking # all projects claude mcp add --scope project working-notes -- uvx mcp-sequential-thinking # shared via .mcp.json

Gemini CLI

gemini mcp add working-notes uvx mcp-sequential-thinking   # writes .gemini/settings.json

Codex CLI

codex mcp add working-notes -- uvx mcp-sequential-thinking

Claude Desktop (Settings → Developer → Edit Config, claude_desktop_config.json)

{"mcpServers":{"working-notes":{

"command":"uvx", "args":["mcp-sequential-thinking"], "env":{"MCP_STORAGE_DIR":"/absolute/path/to/notes"}}}}

Restart Claude Desktop afterwards.

VS Code (.vscode/mcp.json)

{"servers":{"working-notes":{"type":"stdio","command":"uvx","args":["mcp-sequential-thinking"]}}}

If a GUI client cannot find uvx, use its absolute path (which uvx).

From source
python -m venv .venv && . .venv/bin/activate   # Windows: .venv\Scripts\Activate.ps1

python -m pip install -e . python scripts/stdio_smoke.py # restart demo: write, restart, read back

Then point the client at /absolute/path/to/.venv/bin/mcp-sequential-thinking (Windows: .venv\Scripts\mcp-sequential-thinking.exe) instead of uvx.

Quick start

A typical session:

{"tool":"create_session","arguments":{"title":"Choose a local store","request_id":"create-1"}}

{"tool":"add_step","arguments":{"session_id":" ","content":"Two writers need unique positions.","kind":"evidence","request_id":"step-1"}} {"tool":"add_step","arguments":{"session_id":" ","content":"Use SQLite.","kind":"decision","request_id":"step-2"}} {"tool":"read_session","arguments":{"session_id":" "}}

Lost the ID after a restart? list_sessions finds the session by title.

Tools

ToolPurpose
create_sessionStart a session from a title.
add_stepAdd a note; kind is note (default), observation, evidence, assumption, option, risk, decision or next_action.
list_sessionsFind sessions by title or status.
read_sessionview="resume" (default): active notes, decisions first. view="steps": full history with filters.
finalize_sessionStore the caller's outcome and evidence IDs; no further steps afterwards.
delete_sessionDelete a session's database records (exports and backups remain).
export_session / import_sessionJSON archive of one session, confined to MCP_STORAGE_DIR/exports.

Links between notes. parent_step_id records provenance, supersedes_step_id replaces an earlier note (resume hides it, full history keeps it), and branch_from_step_id starts a named branch. All references stay inside one session.

Retries. Every write takes a request_id. Repeating a call with the same ID and input returns the original result; the same ID with different input returns IDEMPOTENCY_CONFLICT. finalize_session and delete_session also need expected_version.

Pagination and limits. Reads default to 20 entries and 12,000 characters (limit ≤ 100, max_chars 1,000–50,000). Follow cursor until it is null, and keep the same view while paging. truncated reports shortened content. A note too large for one response comes back as its first chunk; continue with step_id and content_offset until next_content_offset is null.

Errors set isError=true with a stable code and a short hint, e.g. INVALID_INPUT (with Fields: …), UNKNOWN_SESSION, INVALID_REFERENCE, CONFLICT (with current_version), SESSION_FINALIZED, IDEMPOTENCY_CONFLICT, STORAGE_BUSY (retry with the same request_id), PATH_OUTSIDE_EXPORTS, RESPONSE_LIMIT.

Sources attached to notes are caller-supplied and never fetched or verified.

Legacy tools (deprecated)

process_thought, generate_summary and clear_history, plus export_session / import_session without a session_id, work on a single shared legacy session. They remain for existing clients; every result carries a deprecation_notice. Use the session API for new work.

  • Stages: Problem Definition, Research, Analysis, Synthesis, Conclusion (case-insensitive). Order warnings are advisory unless --strict-stages is set.
  • main_line_progress counts mainline notes only, against your total_thoughts; it is not task completion.
  • Legacy import replaces the legacy history.
  • read_session(session_id="legacy") reads it; a legacy branch X appears as legacy-X there.

Storage and operation

mcp-sequential-thinking              # stdio server

mcp-sequential-thinking --health # diagnostic check mcp-sequential-thinking --ephemeral # in memory only, lost on exit

  • Data lives in ~/.mcp_sequential_thinking (or MCP_STORAGE_DIR) as plaintext SQLite (WAL, synchronous FULL, 5 s busy timeout). Use a local disk; NFS/SMB and multiple hosts are not supported.
  • Several stdio servers may share one store. Local stdio trusts the OS user; a session ID is not authorization. HTTP/SSE are experimental.
  • Deletion is not secure erasure. There is no automatic retention.
  • On first start, an existing 0.6 JSONL history migrates into SQLite in one transaction, keeping IDs and content; a backup of the source stays in place. Stop old 0.6 servers first. Downgrading after new writes is not supported.

Backup and restore (all sessions, including retry keys):

python -m mcp_sequential_thinking.backup create  /path/to/storage /path/to/snapshot.sqlite3

python -m mcp_sequential_thinking.backup restore /path/to/NEW-storage /path/to/snapshot.sqlite3

Restore requires a new directory. Never copy a live database file without its WAL.

Tested with

ClientOSDate
Python MCP SDK 2.0.0 and latest, Python 3.10–3.14Linux, Windowsevery CI run
Claude DesktopLinux2026-10-21

Development

uv run --extra dev ruff check .

uv run --extra dev ruff format --check . uv run --extra dev mypy --strict mcp_sequential_thinking uv run --extra dev pytest --cov=mcp_sequential_thinking --cov-fail-under=85 rm -rf dist && uv run --extra dev --with build --with twine --with jsonschema python scripts/check_artifacts.py

The artifact check builds and installs the wheel in isolation and runs a real restart round trip. Releases publish that tested artifact via Trusted Publishing once a GitHub release is created; the version lives in mcp_sequential_thinking/_version.py. See CHANGELOG.md for details.

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