原型 · 预览版:收录官方注册中心里的全部服务器,每 30 分钟同步一次。评价和账户功能将在后续阶段推出。
PopNx MCP为使用 AI 的人准备的 MCP 服务器 · 用大白话讲清楚

knowmind

作者:Schubeler-Consulting版本 0.4.6i★ –i在你的电脑上运行
注册名称io.github.Schubeler-Consulting/knowmind

安装

概览

作者提供的说明(英文原文)

AI agent memory & knowledge graph, hosted in Germany (GDPR). Recall, relations, store via MCP.

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: 搜索与 AI 记忆
  • 你需要填写:KNOWMIND_TOKEN

安装

选择你使用的 AI 应用,然后复制设置。

安装之前

  • 基础检查:1 项中通过 1 项
  • 在你的电脑上运行,拥有你的用户账户的权限(文件、网络、应用)。
  • 需要你自己填写: KNOWMIND_TOKEN, KNOWMIND_API_URL

标为机密的值是你账户的钥匙。千万不要分享给别人,也不要粘贴到聊天里。

你需要

  • npm已安装 Node.js(用于 npx 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": {
    "knowmind": {
      "command": "npx",
      "args": [
        "-y",
        "knowmind",
        "mcp"
      ],
      "env": {
        "KNOWMIND_TOKEN": "your-value",
        "KNOWMIND_API_URL": "your-value"
      }
    }
  }
}

在终端中运行这条命令

claude mcp add knowmind --env KNOWMIND_TOKEN=your-value --env KNOWMIND_API_URL=your-value -- npx -y knowmind mcp

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": {
    "knowmind": {
      "command": "npx",
      "args": [
        "-y",
        "knowmind",
        "mcp"
      ],
      "env": {
        "KNOWMIND_TOKEN": "your-value",
        "KNOWMIND_API_URL": "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": {
    "knowmind": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "knowmind",
        "mcp"
      ],
      "env": {
        "KNOWMIND_TOKEN": "your-value",
        "KNOWMIND_API_URL": "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

  • KNOWMIND_TOKEN 机密 必填 env
    Bearer API token from the knowmind.de Dashboard -> API-Tokens (https://knowmind.de/dashboard/api-tokens)
  • KNOWMIND_API_URL env
    Knowmind API base URL

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 Schubeler-Consulting 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“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 5650 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 5650 个服务器的 87% 更新
  • 基础检查结果等于或优于此分类中其他 5650 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

knowmind 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?

你需要填写:KNOWMIND_TOKEN

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(0.4.6)于6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 Node.js。

有什么可以替代它?

同一分类中有:Context7, Codebase Memory, Exa

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

Context7

作者:upstash

Up-to-date docs for AI agents

电脑或云端★ 64,224MIT昨天更新
安装

Codebase Memory

作者:DeusData

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

在你的电脑上运行★ 48,148MIT21天前更新
安装

Exa

作者:exa-labs

Connect AI agents to Exa for web search, content fetching, and multi-step research.

在云端运行★ 5,213MIT上个月更新
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。

knowmind

Persistent memory for your AI tools. Store something once, and it is available in Claude Code, Cursor, and any other MCP client that runs a local (stdio) server — as a typed knowledge graph with provenance, confidence, and a bitemporal history for every fact. Hosted in Germany (Hetzner, Nuremberg data center); the CLI and MCP server in this repository are Apache-2.0.

The free tier is permanently free and requires no payment details. The API, CLI, and MCP server are included in every tier.

· knowmind.de

Connect your AI tool in three steps

  1. Create a free account at knowmind.de and generate an access token: Dashboard → API tokens.
  2. Store the token locally:
npx -y knowmind login --token kmt_xxxxxxxx
  1. Wire up your client:

Claude Code (one command)

claude mcp add knowmind --env KNOWMIND_TOKEN=kmt_xxx -- npx -y knowmind mcp

Cursor (~/.cursor/mcp.json) — the same mcpServers block works for Claude Desktop, Windsurf and Gemini CLI in their config files; Zed expects it under context_servers:

{

"mcpServers": { "knowmind": { "command": "npx", "args": ["-y", "knowmind", "mcp"], "env": { "KNOWMIND_TOKEN": "kmt_xxx" } } } }

Any other MCP client: knowmind is a standard MCP server over stdio (npx -y knowmind mcp). On Windows, npx -y knowmind install is the better way: if pythonw.exe from Python 3.10 to 3.14 sits in its default location (%LOCALAPPDATA%\Programs\Python\Python3… or C:\Python3…), the entries it writes start the server without a console window; Codex and the printed Claude Code command use npx directly. If you configure by hand and npx does not start directly, use "command": "cmd", "args": ["/c", "npx", "-y", "knowmind", "mcp"]; clients without a console of their own then open a window with each tool call.

npx -y knowmind install writes this configuration for you, for example cursor, vscode, windsurf, zed, claude-desktop, gemini or codex; npx -y knowmind install list shows all clients. For Claude Code it prints the claude mcp add command instead, and --project writes .mcp.json in the current folder.

Clients that cannot read the token from the environment get a placeholder to replace with your token. Running install again updates only the knowmind entry and keeps a token you entered; before it changes a file, it saves a copy next to it.

npx -y knowmind init sets up memory hygiene in your client: hooks in Claude Code that recall before each task and, when a turn contained something worth keeping (a deploy or commit, a new rule, an architecture decision, changed code or configuration) and nothing was stored yet, ask the model to store it before the turn ends, a rule file in Cursor, and a block in AGENTS.md that tells Codex when to ask knowmind and what to keep.

How knowmind stores facts

  • Bitemporal history. Every fact carries two time axes: when it was true and when it was recorded. Corrections never overwrite the original; the old statement stays queryable with the date it stopped being valid, so you can reconstruct what the system knew on any given day.
  • Provenance and confidence per fact. New facts require a confidence level and keep a link to their source. Older facts without a confidence level are marked as such.
  • Typed knowledge graph. Entities and relations use a restricted set of edge types; catch-all relations are rejected at write time.
  • Operated in the EU, isolated per tenant. The service runs on Hetzner in Nuremberg, Germany, with tenant isolation, a public data processing agreement, and a subprocessor list at knowmind.de/legal/avv. Access logs are hash-chained and externally timestamped (RFC 3161).

knowmind is a hosted service; there is no self-hosted community edition. If you need self-hosting, one of the projects below will serve you better. knowmind is built for the people and teams that need an operated memory service with an audit trail in the EU.

Pricing

TierPriceFor whom
Free€0individuals and evaluation
Pro€15/month or €150/yearindividual professionals
Team€99/monthteams with shared memory
Business€349/monthlarger teams
Enterprisefrom €1,000/monthorganizations with on-premise requirements

The free tier includes 2,500 memories, 1 user, and a 30-day access log.

How that compares (vendor pricing pages, checked 2026-09-05):

ProductFree tierFirst paid tierSelf-hosting
knowmind2,500 memories€15/monthno (Enterprise on-premise option)
Mem010,000 entries, 1,000 retrievals/month$19/monthyes (Apache-2.0)
Zep10,000 credits/month$125/monthGraphiti open source; Zep as BYOC
cognee1M tokens, 1 workspace$2.50 per 1M tokensyes
Lettalimited agents, own keys$20/monthyes (per vendor)
Supermemory~$5 usage included$19/monthfrom Scale tier

Details and current prices: knowmind.de/pricing.

Commands

npx -y knowmind search "Where does the staging deploy run?"

npx -y knowmind upload notes.md --title "Meeting notes 2026-05-12" npx -y knowmind stats npx -y knowmind health npx -y knowmind status --line # one-line status for your AI tool's statusline npx -y knowmind sync ./openwiki # pages in Open Knowledge Format keep their review data

Knowledge in Open Knowledge Format

knowmind sync reads folders in the Open Knowledge Format (OKF 0.1 and 0.2), such as the openwiki/ folder that OpenWiki creates in a repository.

Every search hit then carries the page's status (stable if the page sets none), its trust tier as defined by OKF (trust: unverified, machine-confirmed or human-reviewed) and how many sources it lists. If the page provides them, the hit also carries who or what generated the page (generated), its last five verifications (verified), the time after which it counts as stale (stale_after) and its first ten sources (sources). The full header stays part of the document.

Inside a bundle, directory listings (index.md) and logs (log.md) are not imported. knowmind recognizes a bundle by okf_version in its root index.md or by the files OpenWiki keeps there. If it finds neither, --okf treats the folder you sync as a bundle.

Available Tools

Fifteen tools over MCP. Every one works against your own workspace; the server never sees another tenant's data.

Reading

`knowmind_recall_memories` — Search your memory and get the passages that answer a question, ranked. Combines keyword search, vector similarity and the knowledge graph, then reranks with a cross-encoder. query (string, required) · k (integer, default 5, max 20) · hops (integer, default 2 — how far to follow graph edges from a hit) *Usage:* your AI tool asks "Which database does the billing service use?" before answering, instead of guessing. *Errors:* returns an empty result set when nothing matches — never an invented answer.

`knowmind_recall_at_time` — The same search, but as your memory stood on a given date. Facts superseded after that date are excluded; facts that were valid then are returned even if they are no longer true. query (string, required) · as_of (ISO date or timestamp, required in practice) · k (integer, default 5) *Usage:* "What was our pricing in March?" — answers from the state of that day, not today's. *Difference from knowmind_recall_memories:* use recall for what is true now, and recall_at_time for what was true then. Asking recall about the past returns today's facts.

`knowmind_list_recent` — The most recently added entries, newest first. k (integer, default 10) *Usage:* a quick look at what landed in memory during this session.

`knowmind_list_relations` — All typed edges attached to one entry, in both directions. memory_id (string, required) *Usage:* "What does this contract connect to?" before changing or superseding it. *Errors:* unknown id returns an error, not an empty list.

`knowmind_get_schema` — The entity classes and relation types this workspace accepts. No parameters. *Usage:* call it before knowmind_upsert_entity or knowmind_link_entities to use a type the server will accept, rather than inventing one.

`knowmind_list_inferred` — Relations that wait for a human decision: relations knowmind inferred from a text, and relations that start from a document although their type needs a person, organisation or similar. Each comes with its review state, both connected entries, its source and the entry that supports it. status (open, confirmed or rejected, optional) · limit (integer, default 50, max 200) · offset (integer, default 0) *Usage:* review what the graph learned on its own. Open relations do not feed the derivation rules until someone confirms them.

`knowmind_get_stats` — Size of the corpus: documents, chunks, entities, edges. No parameters.

`knowmind_get_health` — Whether the service and its stores are reachable. No parameters. *Usage:* a status line, or a check before a long ingest.

Writing

`knowmind_store_memory` — Store a short fact, decision or note. Stays as one unit; it is not split. content (string, required) · title (string) · memory_type (string, e.g. semantic, episodic) · tags (array of strings) · source (string) · domain (string) · relations (array — edges to create along with the entry) *Usage:* "We decided to keep the monolith until Q3" after a meeting. *Errors:* rejected with 422 when the text contains what looks like a password or an access key. Store a pointer instead, not the secret.

`knowmind_upload_document` — Store a longer text as a document. It is split into passages, embedded, and becomes searchable through knowmind_recall_memories. content (string, required) · title (string) · source (string) · relations (array) *Usage:* meeting minutes, a specification, a handbook chapter. *Difference from knowmind_store_memory:* one sentence you want back verbatim is a memory; a page you want searched is a document. A long text stored as a memory is retrieved as one block, which crowds out other results.

`knowmind_update_fact` — Supersede a fact that has changed. The old version keeps its validity window and stays auditable; nothing is deleted. target_id (string, required) · new_title (string, required) · new_content (string, required) · update_reason (string) *Usage:* a price, a deadline or a responsibility changed. Never overwrite — supersede, so "what did we believe in July" stays answerable. *Errors:* unknown target_id is rejected.

`knowmind_upsert_entity` — Create or update a typed entity (a person, a company, a product) with aliases. name (string, required) · entity_class (string, required — see knowmind_get_schema) · description (string) · aliases (array of strings) *Usage:* give "ACME Ltd." its aliases so a question about "ACME" finds it. *Errors:* a class outside the schema is rejected.

`knowmind_link_entities` — Create a typed edge between two entries, with a confidence value. from_id (string, required) · to_id (string, required) · rel_type (string, required — see knowmind_get_schema) · confidence (number 0–1) *Usage:* connect a contract to the client it belongs to. The inverse edge is created for you.

`knowmind_unlink_entities` — Remove a typed edge. from_id, to_id, rel_type (all required) *Usage:* an edge created in error. The entries themselves stay.

`knowmind_review_inferred` — Record a decision on one relation from knowmind_list_inferred. confirm lets it feed the derivation rules; reject

只显示了开头部分;其余内容请在仓库中阅读

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