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。
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Filamental

作者:Scottnine版本 0.2.17i★ –i在你的电脑上运行
注册名称io.github.Scottnine/filamental

安装

概览

作者提供的说明(英文原文)

Search, read and build your Filamental knowledge graph. Local-first: notes stay on your computer.

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

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)。
  • 注册中心没有列出需要填写的密钥。

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": {
    "filamental": {
      "command": "npx",
      "args": [
        "-y",
        "filamental-mcp"
      ]
    }
  }
}

在终端中运行这条命令

claude mcp add filamental -- npx -y filamental-mcp

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": {
    "filamental": {
      "command": "npx",
      "args": [
        "-y",
        "filamental-mcp"
      ]
    }
  }
}

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": {
    "filamental": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "filamental-mcp"
      ]
    }
  }
}

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。

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 Scottnine 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 7271 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 7271 个服务器的 80% 更新
  • 基础检查结果等于或优于此分类中其他 7271 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

Filamental 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(0.2.17)于9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。

filamental-mcp

The Model Context Protocol server for Filamental. It lets Claude and other AI apps search, read and build the knowledge graph in your Filamental project: the same markdown files the app shows you, so every change appears in the app as it happens.

The server runs on your computer, works whether Filamental is open or closed, and makes no network requests of its own.

Requires the Filamental desktop app, with the project opened in it at least once, and Node.js 22 or later.


Setup

From Filamental

Open Settings › AI. Under Connect an AI app, Connect sets up Claude Desktop in one click. For any other app, Show setup beside Other AI apps gives the exact block for that app, with the paths for your computer filled in.

By hand

Add this to your AI app's MCP settings file (claude_desktop_config.json, .mcp.json for Claude Code, .cursor/mcp.json and so on):

{

"mcpServers": { "filamental": { "command": "npx", "args": ["-y", "filamental-mcp"] } } }

No path is needed. The server works on whichever project Filamental has open, and follows you when you open another, with no restart. To pin it to one project instead, add "--project", "/absolute/path/to/your/project" to args.


Tools

Orient and read
ToolWhat it does
get_structure_reportA short orientation to the whole project: its classifications and connectors, the most connected nodes, the load-bearing ones, separate groups, and nodes that are unconnected or have no notes
get_contextOne node's notes plus its neighbourhood, inlined as one readable markdown document. dry_run sizes it first
find_pathThe shortest chain of connectors between two nodes, by name or UUID, with how each hop reads
search_nodesFull-text search across names, notes and property values, with an optional field filter that also works on its own
get_nodeOne node's full record, notes included
get_connectionsEvery connector on a node, stated from that node's point of view (see Arrow direction)
get_subgraphEvery node and connector within up to 3 hops of a node
get_project_infoNode and connector counts, and the classification and connector type names
list_node_typesThe project's classifications (entity types), with their colours and settings
list_connector_typesThe project's connector types, with their colours, directions and weights
Write
ToolWhat it does
create_nodeCreate a node: writes its markdown file and updates the index
update_nodeChange a node. Omitted fields stay as they are; a properties or relationships you pass replaces the whole set
delete_nodeDelete a node and its file
create_edgeConnect two nodes
delete_edgeRemove a connector
extract_sectionMove a heading's section out of a node into a node of its own, leaving a [[wikilink]] and a connector behind. dry_run previews it
inline_sectionFold a node's content back into another: the inverse of extract_section. dry_run previews it

The content is moved, never copied, so exactly one copy of any text survives.

Guides
ToolWhat it does
read_skill_guideThe full guide to designing a Filamental structure. The server sends the essentials when it connects, so this is for depth
read_format_referenceThe exact on-disk format of node files and the .filamental/ folder

Every tool carries MCP annotations (readOnlyHint, destructiveHint), so your AI app can tell the read-only tools from the ones that change or delete content.

On Filamental's free plan a project holds 20 nodes, not counting bridges, and that includes nodes an AI creates: create_node says so when a project is full. Pro has no limit.


Arrow direction

A connector's direction is one of none, outgoing, incoming or bidirectional. Nothing else is accepted, and an unrecognised value is rejected rather than stored.

On writes (create_edge, create_node, update_node) direction is stated relative to source → target: outgoing draws the arrowhead at the target, incoming draws it back at the source, bidirectional draws both, none is a plain line.

On reads (get_connections) direction is instead stated relative to the node you asked about, because that is what the user sees on screen:

FieldMeaning
nodeThe node you asked about
otherThe node at the far end
directionWhere the arrowhead is drawn, as seen from node
stored_onWhich node's file holds the relationship

This matters because which end of a connector is stored as source is simply whichever end the user happened to drag from, and it's invisible on the graph: an undirected connector looks the same either way round. So the same arrow reads as outgoing from one end and incoming from the other, and get_connections flips it for you. Filtering with direction: "outgoing" gives the edges whose arrow points *away from* the node you asked about. A bidirectional edge matches both outgoing and incoming, since it genuinely points both ways; undirected matches only edges with no arrow.

Use stored_on only if you're editing the underlying markdown file directly. It says nothing about what the arrow does.


CLI options

filamental-mcp                              Follow the project Filamental has open

filamental-mcp --project Pin to the project at filamental-mcp --project --db Also override the SQLite index path (for testing)


How it works

Every node in a Filamental project is a markdown file with YAML front matter, inside the project folder. The app also keeps a SQLite index of each project for fast search and traversal, stored in the app's own settings folder rather than in the project.

The server opens that index. Read tools query it; write tools update the markdown file and the index together, and keep any front-matter fields they don't own (Obsidian's tags and aliases, say) exactly where they were.


Compatibility

filamental-mcpFilamental appIndex schema
0.2.6 and later0.3.0 and laterv6
0.2.0 – 0.2.50.2.xv5

On a schema mismatch the server keeps working where it can, since the index is disposable, and annotates any failing call with which side to update.


Licence

MIT. The Filamental desktop app itself is proprietary; its terms are at filamental.space/terms.

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