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Sequential Thinking MCP ServerSequential Thinking MCP Server

Model Context Protocol
推理Inference 本地Local 只读Read-only verified lifecycle: active 核验Checked 2026-10-23

提供单个 sequential_thinking 工具,让 Agent 以可修订、可分支的方式逐步推进复杂问题——它不产生智能,只产生结构。

Provides a single sequential_thinking tool that lets an agent work through a complex problem in a revisable, branchable way — it produces no intelligence, only structure.

适合与不适合When to use it, when not to

让 Agent 用结构化、可修订、可分支的方式推进复杂问题分析: 分解复杂问题、可能需要修正的分析、初期范围不明确的任务。

不适合简单任务——它不提升模型能力,只约束输出结构, 增加调用轮次而无收益。

Scenarios where a complex problem benefits from being worked through step by step in a revisable, branchable way.

Not a fit for adding capability — it produces structure, not intelligence.

中文生态China availability 国产 / 国内可直接用 / 备案状态 · 快照domestic / direct access / CAC filing · snapshot 2026-10-20

出品属地Origin
国外出品foreign-made 国外主体(网信办公示名单未见对应备案主体)。foreign entity (no matching filing entity in the CAC registry).
国内使用Direct access
大陆可直连direct OK 官网仓库在 GitHub,大陆直连波动(同日实测 200/000 混合);npm / PyPI 安装源实测稳定可达。Hosted on GitHub — direct reachability from mainland fluctuates (200/000 mixed on the same day); npm / PyPI install routes measured stable.
备案状态CAC filing
未见于备案名单not in filing list:未见于网信办公示名单(2026-10-20 检索 13 批附件,https://www.cac.gov.cn/2024-04/02/c_1713729983803145.htm);该产品未面向大陆公众提供服务,备案不适用。not in the CAC public registry (13 batch attachments searched 2026-10-20, https://www.cac.gov.cn/2024-04/02/c_1713729983803145.htm); the product does not serve the mainland public, so filing does not apply.

备案信息以网信办《生成式人工智能服务已备案信息》公示名单为准(按批次滚动更新,本站只抄编号不解读);「大陆可直连」是本站从大陆网络直连实测的结果,不是厂商承诺。GitHub 类站点当日实测有波动,口径写在依据里。Filing status is quoted from the CAC public registry (updated batch by batch; this site copies the number and does not interpret it). "Direct access" is this site's own reachability measurement from a mainland network, not a vendor promise. GitHub-hosted sites fluctuated on the measurement day — the note says so.

固定坐标系Fixed coordinate system

11 个维度dimensions, 与同分区其他对象逐项可比each comparable item by item against others in the same section.

模型与开放条件Model & openness

本身不调用模型,是被客户端调用的接口实现。 本 server 不产生智能,只提供结构—— 它约束的是 Agent 调用它的方式(逐步思考并允许修订), 真正的推理仍由客户端背后的模型完成。

It calls no model itself; it is an interface implementation called by clients. This server produces no intelligence, only structure — what it constrains is how the Agent calls it (step-by-step thinking with revisions allowed); the actual reasoning is still done by the model behind the client.

运行位置Where it runs

本地 Node.js 进程,通过 stdio 通信。无文件与网络访问需求。

A local Node.js process communicating over stdio. No file or network access needed.

本地文件Local files

无任何文件访问能力。不提供读写工具,是本分区权限最窄的一类。

No file-access capability whatsoever. It provides no read/write tools — one of the narrowest-permission entries in this section.

关机后的任务Tasks after shutdown

不支持。纯计算型工具,无状态,无需后台。

Not supported. A pure-computation tool: stateless, no background needed.

工具与扩展Tools & extensions

仅 1 个工具 sequential_thinking,

参数包含:

  • thought
  • thoughtNumber
  • totalThoughts
  • nextThoughtNeeded

以及修订(isRevision / revisesThought)与 分支(branchFromThought / branchId)控制。

输出为结构化对象。

A single tool sequential_thinking,

whose parameters include:

  • thought
  • thoughtNumber
  • totalThoughts
  • nextThoughtNeeded

plus revision (isRevision / revisesThought) and branching (branchFromThought / branchId) controls.

Output is a structured object.

上下文与记忆Context & memory

无跨会话记忆。每次调用接收完整的思考文本, 修订与分支通过参数显式传递,不依赖服务端存储。

No cross-session memory. Each call receives the full thinking text; revisions and branches are passed explicitly via parameters, with no reliance on server-side storage.

权限与限制Permissions & limits

无任何权限风险:不访问文件、不访问网络、不写任何状态。 全部权限就是「能调用一个纯函数」。

No permission risk at all: no file access, no network access, writes no state. Its entire permission set is "being able to call one pure function".

适合什么任务Best for

让 Agent 用结构化、可修订、可分支的方式推进复杂问题的分析。 不适合简单任务(增加调用轮次无收益)。

Lets an Agent advance complex problems in a structured, revisable, branchable way. Not a fit for simple tasks (extra call rounds bring no benefit).

传输方式Transport

仅 stdio。npx / Docker 本地进程(2026-10-08 README 全文核验); 没有远程传输的官方启动方式。Docker 镜像为 mcp/sequentialthinking。

stdio only. npx / Docker local process (full README verification 2026-10-08); there is no official launch method for a remote transport. The Docker image is mcp/sequentialthinking.

认证机制Authentication

无独立认证层,但这是本分区唯一无实质权限边界的 server—— 无文件、无网络、无状态,认证与否不影响安全。

No separate authentication layer, but this is the only server in this section with no substantive permission boundary — no files, no network, no state; whether auth exists makes no security difference.

权限范围Permission scope

无文件与网络访问,不读不写任何外部资源。 权限范围为空,是 MCP server 里权限风险最低的一类。 可放心在敏感环境使用。

No file or network access; reads and writes no external resources. Its permission scope is empty — the lowest permission-risk class among MCP servers. Safe to use in sensitive environments.

头号误解Top misconception

  • 以为它能让模型变聪明,实际只约束输出结构,推理能力来自模型本身Assuming it makes the model smarter — it only constrains the shape of the output; the reasoning comes from the model itself
  • 以为会记住之前的思考,实际每次调用要自己带上完整上下文Assuming it remembers previous thoughts — each call has to carry the full context itself
  • 以为工具越多越好,本 server 只有一个工具且是有意设计Assuming more tools are better — this server deliberately ships exactly one

未知项清单Known unknowns

  • 是否支持 Streamable HTTP(仓库未声明)
  • 分支是否需要在调用方侧维护完整上下文树
  • 与客户端内置推理能力的重叠程度
  • Whether Streamable HTTP is supported (not declared in the repo)
  • Whether branches require the caller to maintain a full context tree
  • The degree of overlap with clients' built-in reasoning capabilities

证据来源Evidence sources

判断可回到以下一手源复核。本站核验日Every judgement can be rechecked against the primary sources below. Verified on 2026-10-23,内容更新日content updated on 2026-10-08。

类型Type名称Name链接Link
docsMCP · Sequential Thinking ServerMCP · Sequential Thinking Serverhttps://github.com/modelcontextprotocol/servers/tree/main/src/sequentialthinking
changelogMCP · Sequentialthinking 目录变更历史MCP · Sequentialthinking directory change historyhttps://github.com/modelcontextprotocol/servers/commits/main/src/sequentialthinking
changelogMCP · Servers ReleasesMCP · Servers Releaseshttps://github.com/modelcontextprotocol/servers/releases
repoMCP · Servers 仓库 README(生产环境免责声明)MCP · Servers repo README (production-use disclaimer)https://github.com/modelcontextprotocol/servers

实测记录Measured runs

本档未在真实客户端逐项跑通;工具清单与权限来自官方 README。

实测建议:这类 server 的实测重点在调用轮次与 token 成本, 而不是能否完成任务。要对比「用 / 不用」在同一任务上的总 token 与轮次差异。

This site has not completed measured runs. The test protocol is at protocols/mcp/_protocol.md.

Suggested measurement: for this class of server the focus is call rounds and token cost, not whether the task completes. Compare total tokens and rounds "with / without" on the same task.

变更记录说明Change-log notes

本对象无独立 changelog 页,变更记录在目录 commit 历史中:

日期内容
2026-09-03声明 zod 运行时依赖
2026-08-28恢复 nextThoughtNeeded 在 inputSchema required 数组中的声明
2026-08-28从 package.json 读取 server 版本(不再硬编码)
2026-07-29依赖批量更新

08-28 那条 schema 修复值得注意:nextThoughtNeeded 曾被错误地从 required 数组中移除。 如果你的客户端严格校验 schema,这会导致调用被拒。

This object has no standalone changelog page; change records are in the directory's commit history:

DateContent
2026-09-03Declare the zod runtime dependency
2026-08-28Restore nextThoughtNeeded in the inputSchema required array
2026-08-28Read the server version from package.json (no longer hardcoded)
2026-07-29Batch dependency updates

The 08-28 schema fix is worth noting: nextThoughtNeeded had been wrongly removed from the required array. If your client validates the schema strictly, this causes calls to be rejected.

工具设计Tool design

只有一个工具,参数分四组:

组参数作用
进度thought thoughtNumber totalThoughts nextThoughtNeeded当前这一步是什么、总共几步、是否还需继续
修订isRevision revisesThought承认要改前面的某一步
分支branchFromThought branchId从某一步分出另一条推理路径
追加needsMoreThoughts中途发现需要更多步骤

「修订」和「分支」是这个 server 的核心价值—— 它让 Agent 在推理过程中回头改,而不是一条路走到底。

There is only one tool; its parameters fall into four groups:

GroupParametersPurpose
Progressthought thoughtNumber totalThoughts nextThoughtNeededwhat this step is, how many steps total, whether to continue
RevisionisRevision revisesThoughtacknowledge revising an earlier step
BranchingbranchFromThought branchIdfork another reasoning path from some step
ExtensionneedsMoreThoughtsdiscover mid-way that more steps are needed

"Revision" and "branching" are this server's core value — they let the Agent go back and change steps mid-reasoning, instead of one path to the end.

关键澄清:它不提升模型能力Key clarification: it does not boost model capability

这是最容易误解的一点。

本 server 不调用模型,不做任何推理。
它约束的是客户端的调用方式,推理仍由模型完成。

它解决的是「结构」问题,不是「智力」问题:

它做的它不做的
让推理分步可见让模型更聪明
允许中途修订提高结论正确率
支持并行分支探索减少 token 消耗(相反会增加)
让调用方能观察过程替代思考预算控制

简单任务上用它会增加调用轮次而无收益。 README 自己列的适用场景也限定在: 分解复杂问题、可能需要修正的分析、初期范围不明确的任务、需要过滤无关信息的长任务。

This is the most easily misunderstood point.

This server calls no model and does no reasoning.
It constrains how the client calls it; reasoning is still done by the model.

It solves a "structure" problem, not an "intelligence" problem:

What it doesWhat it does not do
Makes reasoning visible step by stepMake the model smarter
Allows mid-way revisionImprove conclusion accuracy
Supports parallel branch explorationReduce token consumption (it increases it instead)
Lets the caller observe the processReplace thinking-budget control

Using it on simple tasks adds call rounds with no benefit. The applicable scenarios the README itself lists are also limited to: breaking down complex problems, analyses that may need correction, tasks with unclear initial scope, long tasks needing irrelevant information filtered out.

权限评价Permission assessment

MCP server 里权限风险最低的一类,可以放心在敏感环境使用:

检查项结果
读文件❌ 无
写文件❌ 无
访问网络❌ 无
持久化状态❌ 无
删除能力❌ 无

全部权限就是「能调用一个纯函数」。这类 server 值得单独指出—— 它说明 MCP 生态里也有零风险的工具,不全是权限敏感型。

The lowest permission-risk class among MCP servers; safe in sensitive environments:

CheckResult
Read files❌ none
Write files❌ none
Network access❌ none
Persisted state❌ none
Delete capability❌ none

Its entire permission set is "being able to call one pure function". This class of server deserves calling out — it shows the MCP ecosystem also has zero-risk tools; not everything is permission-sensitive.

相关条目Related entries

本页由This page is generated from the ai-handbook 数据层生成(CC BY 4.0)。data layer (CC BY 4.0). 方法论与坐标系定义见仓库内For the methodology and coordinate definitions, see METHODOLOGY.md.