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PopNx MCP为使用 AI 的人准备的 MCP 服务器 · 用大白话讲清楚

ctxstore — memory that follows you across models

作者:ctxstore-ai版本 1.1.2i★ 0i在云端运行
注册名称ai.ctxstore/ctxstore-mcp

安装方法

What it does

Persistent memory for AI agents: keyed facts, a wake bundle each session, one memory in every model.

  • Connects 在云端运行
  • Account or key No key needed
  • Category 搜索与 AI 记忆

安装

选择你使用的 AI 应用,然后复制设置。

通过 4/5 项检查 · 你的提问会经过开发者的服务器(mcp.ctxstore.ai)

第一步:你用哪个 AI?

选择你用的应用,步骤会显示在下方。

可连接 Claude · 约 2 分钟

不需要密钥,不用安装程序 · 在 claude.ai 或桌面应用设置一次,即可在聊天中使用 · 免费账户可添加 1 个 · Team/Enterprise 方案由所有者(Owner)添加

  1. 打开 Claude 的 Connectors 页面

    CustomizeConnectors

    CustomizeConnectors1+ Add2https://…3Add4
  2. 点击“+ Add” → “Add custom connector”,填写这 2 项

    把这里的内容复制到 Claude 中同名的输入框,然后点击 Continue

    Name · 名称ctxstore — memory that follows you across models
    Remote MCP server URL · 地址https://mcp.ctxstore.ai/mcp

    Authentication 保持 Claude 检测到的设置,然后点击 Add

  3. 在聊天中开启

    +Connectorsctxstore — memory that follows you across models

  4. 试一试

    用 ctxstore — memory that follows you across models 告诉我你能帮我做什么,然后做一件给我看

    ✓ 如果 Claude 说正在使用 ctxstore — memory that follows you across models,或回答中出现 ctxstore — memory that follows you across models 的工具名称,就表示连接成功

菜单名称已于 2026年11月11日 对照 Anthropic 帮助页面核实 · 你的界面可能因版本略有不同

仅企业版 ChatGPT 可连接

适用于网页版 ChatGPT Business、Enterprise 或 Edu,需由工作区管理员或所有者添加 · 使用 Free、Plus 或 Pro:你的 ChatGPT 方案暂时无法自行连接 MCP

  1. 在网页版 ChatGPT 打开添加 MCP 的页面

    Plugins+Add custom MCP server

    ChatGPTPlugins1+2https://…3Create4
  2. 填写名称和地址

    输入名称,在 Connection 下粘贴地址,勾选风险提示,然后点击 Create as a plugin

    Name · 名称ctxstore — memory that follows you across models
    Connection · 地址https://mcp.ctxstore.ai/mcp
  3. 在聊天中选择 ctxstore — memory that follows you across models

    开启新聊天,输入前先从插件列表中选择 ctxstore — memory that follows you across models

  4. 试一试

    用 ctxstore — memory that follows you across models 告诉我你能帮我做什么,然后做一件给我看

    ✓ 如果 ChatGPT 说正在使用 ctxstore — memory that follows you across models,或回答中出现 ctxstore — memory that follows you across models 的工具名称,就表示连接成功

菜单名称已于 2026年11月11日 对照 OpenAI 帮助页面核实 · 你的界面可能因版本略有不同

可连接 Claude Code · 约 2 分钟

不需要密钥,不用安装程序

  1. 打开终端

    Mac:按 Command+空格,输入 Terminal · Windows:打开 PowerShell

  2. 粘贴这条命令并按 Enter

    claude mcp add --transport http --scope user ctxstore https://mcp.ctxstore.ai/mcp
  3. 在 Claude Code 中输入 /mcp

    应能看到 ctxstore — memory that follows you across models 在列表中并显示已连接

  4. 试一试

    用 ctxstore — memory that follows you across models 告诉我你能帮我做什么,然后做一件给我看

    ✓ 如果 Claude Code 说正在使用 ctxstore — memory that follows you across models,或回答中出现 ctxstore — memory that follows you across models 的工具名称,就表示连接成功

菜单名称已于 2026年11月11日 对照 Anthropic 帮助页面核实 · 你的界面可能因版本略有不同

可连接 Cursor · 约 2 分钟

不需要密钥,不用安装程序

  1. 点击这个按钮打开 Cursor

    在 Cursor 中打开

    Cursor 会请你确认安装,点击 Install

  2. 在 Cursor 中以 Agent 模式打开 AI 聊天

  3. 试一试

    用 ctxstore — memory that follows you across models 告诉我你能帮我做什么,然后做一件给我看

    ✓ 如果 Cursor 说正在使用 ctxstore — memory that follows you across models,或回答中出现 ctxstore — memory that follows you across models 的工具名称,就表示连接成功

菜单名称已于 2026年11月11日 对照 Cursor 帮助页面核实 · 你的界面可能因版本略有不同

可连接 VS Code · 约 2 分钟

不需要密钥,不用安装程序

  1. 点击这个按钮打开 VS Code

    在 VS Code 中打开

    VS Code 会请你确认安装,点击 Install

  2. 在 VS Code 中以 Agent 模式打开 AI 聊天

  3. 试一试

    用 ctxstore — memory that follows you across models 告诉我你能帮我做什么,然后做一件给我看

    ✓ 如果 VS Code 说正在使用 ctxstore — memory that follows you across models,或回答中出现 ctxstore — memory that follows you across models 的工具名称,就表示连接成功

菜单名称已于 2026年11月11日 对照 VS Code 帮助页面核实 · 你的界面可能因版本略有不同

其他支持 MCP 的应用(如 Windsurf、Zed、Gemini CLI)添加方式各不相同,请在应用列表中查看

查看所有支持 MCP 的应用 →

通过网页连接的应用使用的地址

地址https://mcp.ctxstore.ai/mcp

JSON 设置在下方“开发者专用”中

卡住了?问问正在用 ctxstore — memory that follows you across models 的人💬 讨论 →
开发者专用:终端命令和 JSON 设置

通过网页连接

Claude Code

claude mcp add --transport http --scope user ctxstore https://mcp.ctxstore.ai/mcp

Cursor (~/.cursor/mcp.json)

{
  "mcpServers": {
    "ctxstore": {
      "url": "https://mcp.ctxstore.ai/mcp"
    }
  }
}

VS Code (mcp.json)

{
  "servers": {
    "ctxstore": {
      "type": "http",
      "url": "https://mcp.ctxstore.ai/mcp"
    }
  }
}

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。

一览

每周下载量i
不在 npm/PyPI 上
已验证域名
✓ ctxstore.ai
连接方式
在云端运行
传输方式
streamable-http
最新版本i
1.1.2
发布到注册中心i
2026年10月10日
代码最后更新i
2026年11月10日
作者
ctxstore-ai
注册状态
活跃

哪些应用可以使用它

依据这个服务器的连接方式和各应用自己的文档,检查于 2026年11月10日。

通过互联网连接,适用于

ClaudeChatGPTGooseLM StudioMsty StudioCherry StudioCursorVS Code + GitHub CopilotVisual StudioWindsurf (Devin Desktop)ZedKiroClineContinueJetBrains AI AssistantClaude CodeCodex CLIGemini CLIOpenCodenodecodeWarpLibreChatOpen WebUIRaycast

全部应用及其优缺点 →

它能做什么

工具名称和描述与服务器在 2026年11月8日 报告的完全一致。这些内容由作者撰写,不是我们写的;我们以纯文本形式显示。

  • accept_invite

    Accept a namespace invitation addressed to THIS authenticated account's verified email (two-step email OTP). Steps: 1) step='request' — emails a 6-digit code to the invited address (may return 402 needs Collaborator, or 503 if mailer fails). 2) step='confirm' with code= the 6 dig

  • bind_agent

    Bind a sticky agent identity to this MCP session. Once bound, wake_status and load_context default to this agent_id when called without an explicit agent_id= arg — no need to pass identity on every call. Per-call override still works. Persisted to mcp_sessions.agent_id (migration

  • decline_invite

    Decline a pending (status=invited) namespace invitation as the grantee. Server verifies you are the invitee (email/tenant match). Grantors must use revoke_grant instead.

  • delete_fact

    Soft-delete a stored fact by its UUID (Smart Forget). The fact is marked deleted but preserved in the database for audit and undo. Excluded from all normal searches. Use when information is no longer accurate or relevant.

  • get_fact

    Retrieve a fact by its exact key — deterministic, never misses. Use get_fact for self-notes: get_fact(key='agent: :self-note:opening') or get_fact(key='agent: :self-note:closing'). search_facts misses self-notes because their embedding similarity scores below other identity facts

  • get_fact_history

    Return the full version history for a keyed fact — current version plus all deprecated predecessors. Use to see how a fact evolved over time or to undo an accidental correction. Returns list of fact versions ordered newest → oldest.

  • get_session_seed

    Return the pre-computed session seed for this tenant — a compact first-person bio (~500 tokens) describing who you are and what you care about right now. Generated nightly and on session disconnect. Use as a lightweight alternative to load_context when you just need orientation.

  • get_stats

    Get your memory usage statistics — total facts stored, plan limits, collection sizes, and daily query counts. Call this to check how much storage you have used and how close you are to your plan limits.

  • ghost_mode

    Enable or disable ghost mode for this session. While on=True, store_fact and store_session_summary silently succeed but do NOT write to DB. search_facts, load_context, and search_context always work normally. Ghost mode resets to off on MCP session reconnect (not persisted).

  • index_recent

    Return the most recent fact operations across all agents in this tenant, newest first. Use this on session start to see what other agents wrote since you were last active — bypasses semantic search ranking so recent writes are always visible. Each entry shows: op (create/update/d

  • index_search

    Filtered search over the tenant activity index. Find what a specific agent wrote, what happened in a namespace, or recent creates/updates/deletes. Useful for coordination: "what did emily_dev store in the sprint namespace today?"

  • index_stats

    Usage statistics from the tenant activity index: total operations, breakdown by agent, by namespace, and by day. Useful for understanding which agents are most active and where.

  • introduce_yourself

    Optional: introduce yourself to the platform. Stores your model info and a brief note in the shared agent registry. Stores a fact with: category: identity namespace: shared/agent-feedback key: intro: - Include: what model you are, what platform you're running on, and anything you

  • invite

    Invite one person, by email, to read and write one namespace prefix of THIS account (for example project:barn). Creates a pending grant and emails them; nothing is shared until they accept with list_invites and accept_invite from their own account. Calling again for the same pers

  • leave_grant

    Leave an active namespace grant as the grantee (stop using shared namespace). Server verifies grantee authorization. Grantors who want to cut off a collaborator must use revoke_grant.

  • list_facts_by_key_prefix

    Deterministic prefix scan over fact keys, optionally bounded by timestamp. The inbox primitive — use this for R1 comms scans, dispatch discovery, trio listings, convention discovery, and any case where you know the key prefix and want every match. Unlike search_facts (semantic, m

  • list_invites

    List this account's namespace collaboration grants: incoming invitations and outgoing shares. Each row has direction (incoming|outgoing), status (invited|active|revoked), grant_id, namespace_prefix, and parties. An invitation referenced anywhere else (for example in an email) can

  • list_workspaces

    The places this account's memory is organised into: its own projects (anything written under project: :*, newest activity first), the workspaces other people have granted it (enter one with switch_workspace(name= )), and, for a sharer, who they invited and whether each person acc

  • load_context

    Load your bootstrap context deterministically — pulls L0 (identity) + L1 (architecture) + latest L2 (state) + latest L3 (session summary). Call this at the START of a new session as an alternative to manual search_facts calls. Returns your layered memory structured for immediate

  • mark_salient

    Salience peptide — temporarily boost a fact's retrieval ranking because it matters RIGHT NOW: an approaching deadline, a live incident, the topic under active work. The boost is small and FAST-DECAYING (max 1.4x, ~6-hour half-life — gone by tomorrow), unlike reinforce_fact which

  • move_fact

    Move a fact to a different namespace or layer without changing its content. Updates metadata in place — preserves fact_id, text, embedding, timestamp, and deprecation chain. Use for reclassifying facts (e.g. bootstrap-v2 refactor) without the storage bloat of store-new + soft-del

  • reinforce_fact

    Reward peptide — reinforce a fact whose recall LED TO A REAL GOOD OUTCOME (fix worked, deploy green, user approved). Boosts its future retrieval ranking with a bounded, time-decaying multiplier (max 1.5x, 14-day half-life), so memory learns which facts are USEFUL, not just simila

  • resume_session

    Call to load session continuity. Last session: no prior session.

  • revoke_grant

    Revoke a pending invitation or active grant as the GRANTOR (owner of the shared namespace). Idempotent. Grantees use decline_invite / leave_grant.

  • search_context

    Search across ingested conversations and session history for broader context. Use this for finding discussions, decisions made in conversation, or context that wasn't explicitly stored as a fact.

  • search_facts

    Search your persistent memory for stored facts. For session bootstrap, prefer load_context() or wake_status() — they pull your identity, conventions, and latest self-note deterministically. Use search_facts when you need semantic discovery across the fact corpus. Use namespace pa

  • setup_account

    Set up or restore your persistent memory connection. Use mode='link_or_create' when the user gives an email — works for both new and returning users. The server figures out which case applies: - If the email exists: sends OTP, attaches this device to the existing account - If the

  • store_fact

    Store information that should persist across sessions. Storage tips for best retrieval: - Include searchable keywords: 'We chose the Postgres DATABASE for ACID compliance' is better than 'We chose Postgres for ACID compliance' - Use the key parameter for facts that change over ti

  • store_facts

    Store up to 50 facts in one call — the same fields as store_fact per item. Made for carrying memory over: when you already remember things about the person from your own platform memory (ChatGPT memory, Claude memory, Gemini saved info), write them here one fact per item, in thei

  • store_session_summary

    Store a compressed summary of this session to preserve continuity for the next one. Call this before ending a conversation — it is the dream cycle. Stores a L3 session fact with key='session-latest' (or 'session-latest:claude-code' etc.), auto-archiving the previous version. The

  • switch_workspace

    Narrow this session's memory to one project: name=' ' scopes recall, the wake bundle, self-notes and the default namespace for new facts to project: :* (identity and conventions always ride along). Returns the narrowed bundle right away. name='' widens back to the whole account.

  • wake_status

    Check which context layers loaded successfully on this session start. Returns a structured status: which of embryo, conventions, agent identity, closing note, and opening note were found, plus a missing[] list. Call this after load_context() or resume_session() to verify your boo

  • watch_events

    Long-poll this account's fact-write events instead of re-scanning with since_epoch. Every store/supersede/delete/archive/restore/move publishes one event {key, id, namespace, layer, op, ts, seq}. One call waits up to max_wait_s (max 25) for the first matching event and returns up

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12日

  • ✓ 通过

    作者与仓库一致

    注册名称已通过域名 ctxstore.ai 验证(注册中心会核实域名所有权)

  • ✕ 未通过

    仍在维护

    超过一年没有代码更新,或仓库已归档

  • ✓ 通过

    有许可证

    使用 MIT

  • ✓ 通过

    端点有响应

    在 399 毫秒内响应(HTTP 200)

  • – 不适用

    使用 OAuth 登录

    无需登录

  • ✓ 通过

    工具描述中没有隐藏指令

    已读取 33 个工具描述,未发现针对 AI 的隐藏指令

讨论

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与“搜索与 AI 记忆”中的其他服务器比较i

  • 星标数多于此分类中其他 5973 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 5973 个服务器的 53% 更新
  • 基础检查结果等于或优于此分类中其他 5973 个服务器的 53%

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

ctxstore — memory that follows you across models 安全吗?

它在 5 项适用的基础检查中通过了 4 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?

它在作者的云端运行。通过互联网连接,无需安装,但你发送的内容会经过作者的服务器。

它还在维护吗?

GitHub 仓库最后更新于前天,最新版本(1.1.2)于33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。它通过 URL 连接,因此也能用于支持远程 MCP 的应用,例如 ChatGPT Business 及以上方案。

有什么可以替代它?

同一分类中有:Context7, Codebase Memory, Ruflo

同类别的其他选择

同一分类中其他作者的服务器,按星标数排序。

如何看卡片:↓ 每周下载量i★ 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

Context7

Up-to-date docs for AI agents

作者:upstash广泛使用↓ 125万/周★ 6.5万3天前更新

电脑或云端

Codebase Memory

Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.

作者:DeusData广泛使用↓ 1.7万/周★ 4.8万26天前更新

在你的电脑上运行

Ruflo

Agent teams, swarms, memory and hooks for Claude Code and Codex, served over MCP.

作者:ruvnet广泛使用↓ 7.4万/周★ 8.1万 整个仓库的星标昨天更新

在你的电脑上运行

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。

ctxstore-mcp