FlowDot
概览
作者提供的说明(英文原文)
Build and run AI workflows, apps, toolkits and knowledge bases on FlowDot from any MCP client.
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。
- 用户评价i暂无评价评价功能将在后续阶段与账户功能一起开放
- 我们的基础检查i1 项中通过 1 项依据公开信息检查;尚未扫描代码
- 使用情况i非常新↓ 298/周 · ★ –
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:FLOWDOT_API_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:
FLOWDOT_API_TOKEN,FLOWDOT_HUB_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": {
"flowdot": {
"command": "npx",
"args": [
"-y",
"@flowdot.ai/mcp-server"
],
"env": {
"FLOWDOT_API_TOKEN": "your-value",
"FLOWDOT_HUB_URL": "your-value"
}
}
}
}在终端中运行这条命令
claude mcp add flowdot --env FLOWDOT_API_TOKEN=your-value --env FLOWDOT_HUB_URL=your-value -- npx -y @flowdot.ai/mcp-server运行前请先填写空着的值。
或者自己复制设置
粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"flowdot": {
"command": "npx",
"args": [
"-y",
"@flowdot.ai/mcp-server"
],
"env": {
"FLOWDOT_API_TOKEN": "your-value",
"FLOWDOT_HUB_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。
或者自己复制设置
粘贴到项目中的 .vscode/mcp.json
{
"servers": {
"flowdot": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@flowdot.ai/mcp-server"
],
"env": {
"FLOWDOT_API_TOKEN": "your-value",
"FLOWDOT_HUB_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
- Your FlowDot MCP token (starts with fd_mcp_). Create one free at https://flowdot.ai/mcp
FLOWDOT_HUB_URLenvFlowDot Hub URL. Defaults to https://flowdot.ai
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8日
- ✓ 通过
作者与仓库一致
注册名称已通过域名 flowdot.ai 验证(注册中心会核实域名所有权)
- … 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 5684 个服务器的 0%
- 发布到注册中心的时间比此分类中其他 5684 个服务器的 54% 更新
- 基础检查结果等于或优于此分类中其他 5684 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
FlowDot 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:FLOWDOT_API_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(1.3.21)于34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:↓ 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
Codebase Memory
Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.
Exa
Connect AI agents to Exa for web search, content fetching, and multi-step research.
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。
@flowdot.ai/mcp-server
Connect Claude Desktop, Cursor, Windsurf, Claude Code, and any other MCP-compatible AI client to the entire FlowDot platform — workflows, recipes, custom nodes, apps, knowledge bases, agent toolkits, and the full community/sharing layer.
What is MCP?
MCP (Model Context Protocol) is an open standard that lets AI models interact with external tools and services. The FlowDot MCP Server exposes 150 tools across 17 functional categories, plus 8 educational `learn://` resources, giving an AI client a complete operational interface to FlowDot — no web UI required.
With this server, an AI client can:
- Build workflows from scratch — create graphs, add nodes, wire connections, validate, execute, stream results
- Author and share custom nodes — write JavaScript components, validate them with AST parsing, publish to the community
- Develop FlowDot Apps — full React multi-file projects with surgical code editing operations
- Design agent recipes — multi-step agentic programs with stores, gates, branches, loops, parallel steps, and sub-recipes
- Manage knowledge bases (RAG) — categories, documents, uploads, semantic queries
- Create and invoke agent toolkits — define new tools, configure OAuth/API-key credentials, install, invoke
- Set up agent characters for voice calls — list/get/create/update/delete/fork/duplicate/publish, with server-side voice-config completeness validation
- Share and discover — public URLs, voting, comments, favorites, community browsing
- Run and observe executions — start, stream via SSE, cancel, retry, view history and metrics
Note: Recipes can be designed through MCP but must be executed via the FlowDot CLI (
@flowdot.ai/cli). Recipes are long-running agentic programs that exceed AI client timeouts and require local file/code/shell access.
Quick Start
1. Get a free MCP Token
Create a free FlowDot account. You land on the MCP Tokens tab: click Select all (or pick scopes, see Token Scopes), then Create Token. The token starts with fd_mcp_, and the page shows the ready-to-paste setup below with your token filled in.
The free plan includes 5 workflow runs a day and 10 toolkit calls a day. The Creator plan is $19 a month (500 runs a month, 200 toolkit calls a day). Details: flowdot.ai/mcp.
2. Connect your client
Claude Code (one command):
claude mcp add flowdot -e FLOWDOT_API_TOKEN=fd_mcp_your_token_here -- npx -y @flowdot.ai/mcp-server
Claude Desktop, Cursor and other clients: add the block below to the client's config file.
macOS: ~/Library/Application Support/Claude/claude_desktop_config.json Windows: %APPDATA%\Claude\claude_desktop_config.json
{
"mcpServers": { "flowdot": { "command": "npx", "args": ["-y", "@flowdot.ai/mcp-server"], "env": { "FLOWDOT_API_TOKEN": "fd_mcp_your_token_here" } } } }
3. Restart the client
Restart Claude Desktop, Cursor or your MCP client so it loads the server. Claude Code picks it up on the next session.
Installation Options
Option A: Claude Desktop Extension (.mcpb)
Download the .mcpb extension bundle and double-click to install in Claude Desktop. The extension includes Node.js runtime and all dependencies — no separate installation needed.
Option B: npm (Cursor, Claude Code, manual config)
npx @flowdot.ai/mcp-server
Or install globally:
npm install -g @flowdot.ai/mcp-server
flowdot-mcp
Educational Resources (learn://)
The server exposes 8 standalone concept guides via the MCP ReadResourceRequest interface. Read these *before* invoking tools to scaffold your understanding:
| Resource | Content |
|---|---|
learn://overview | FlowDot platform overview |
learn://workflows | Workflow creation guide |
learn://recipes | Agent recipe orchestration guide |
learn://custom-nodes | Custom node development guide |
learn://apps | App development guide |
learn://toolkits | Agent toolkit guide |
learn://knowledge-base | Knowledge base & RAG guide |
learn://characters | Agent character (voice call) setup guide |
Available Tools
The server exposes 150 tools organized into 17 categories.
Core (4)
list_workflows— List all workflows accessible to the authenticated userexecute_workflow— Execute a workflow with optional inputs (sync or async)get_execution_status— Get the status and results of a workflow executionagent_chat— Chat with the FlowDot AI agent for workflow assistance
Analytics & Feedback (3)
get_workflow_metrics— Impressions, success/failure rates, average durationget_workflow_comments— Comments and ratings on workflowsget_execution_history— Past execution history with timestamps and status
Workflow Management (5)
get_workflow_details— Detailed workflow info including nodes, connections, signatureget_workflow_inputs_schema— Input schema with expected types and required fieldsduplicate_workflow— Create a copy of an existing workflowtoggle_workflow_public— Make a workflow public or privatefavorite_workflow— Add/remove workflow from favorites
Execution Enhancements (3)
cancel_execution— Cancel running/pending workflow executionsretry_execution— Retry failed executions with the same inputsstream_execution— Real-time SSE streaming of workflow execution
Discovery & Search (5)
get_workflow_tags— Get tags associated with a workflowset_workflow_tags— Set/update workflow tagssearch_workflows— Search workflows by name, description, tagssearch— Unified search across workflows, apps, custom nodesget_public_workflows— Browse public workflows shared by other users
Workflow Building (4)
create_workflow— Create a new empty workflowdelete_workflow— Permanently delete a workflowget_workflow_graph— Get complete graph structure (all nodes + connections)validate_workflow— Validate for missing connections, invalid config, disconnected nodes
Node Operations (5)
list_available_nodes— List all node types organized by categoryget_node_schema— Full schema for a node type (inputs, outputs, properties)add_node— Add new node (built-in or custom viacustom_node_{hash})update_node— Update node position or propertiesdelete_node— Delete node and all its connections
Connection Operations (3)
add_connection— Connect a node output to a node inputdelete_connection— Remove a connection between two nodesget_node_connections— Get all connections to/from a specific node
Custom Nodes (13)
list_custom_nodes— List your custom nodes with search/category filteringsearch_public_custom_nodes— Search public nodes shared by the communityget_custom_node— Detailed custom node info (inputs, outputs, script code)get_custom_node_comments— Comments and ratings on a custom nodeget_custom_node_template— Generate a working script template based on I/O definitionscreate_custom_node— Create new custom node with script, inputs, outputs (validated with AST parsing)update_custom_node— Update name, description, code, propertiesdelete_custom_node— Permanently delete a custom nodecopy_custom_node— Copy a public node to your librarytoggle_custom_node_visibility— Change visibility (private/public/unlisted)vote_custom_node— Upvote/downvote/remove votefavorite_custom_node— Add/remove from favoritesadd_custom_node_comment— Add comment or reply
Apps (23)
Core App Operations (12)
list_apps— List your React frontend appssearch_apps— Search the public app marketplaceget_app— Detailed app info including React code and linked workflowscreate_app— Create a new React app (Tailwind + React 18, sandboxed)update_app— Update name, description, code, config, mobile settingsdelete_app— Permanently delete apppublish_app— Publish to the public marketplaceunpublish_app— Make a published app privateclone_app— Clone a public app to your librarylink_app_workflow— Link a workflow to an app forinvokeWorkflow()useunlink_app_workflow— Unlink a workflow from an applink_app_toolkit— Link a toolkit to an app forinvokeTool()useunlink_app_toolkit— Unlink a toolkit from an appget_app_template— Get starter code templates (basic, chat, dashboard, form-builder, data-viewer)
Surgical Code Editing (4)
edit_app_code— Find/replace specific strings in app codeappend_app_code— Append content before the closing braceprepend_app_code— Prepend content to the startinsert_app_code— Insert content after a specific pattern match
Multi-File App Operations (7)
list_app_files— List all files in a multi-file appget_app_file— Get content of a specific filecreate_app_file— Create new file (jsx, js, ts, tsx, css, json, md)update_app_file— Update file content and typedelete_app_file— Delete a filerename_app_file— Rename or move a fileset_app_entry_file— Set a file as the app's entry point
Sharing & Public URLs (9)
get_workflow_public_url— Public shareable URL for a workflowlist_shared_results— Shared execution results for a workflowget_shared_result— Specific shared result with outputs/inputsget_shared_result_comments— Comments on a shared resultcreate_shared_result— Create a shareable link (with optional expiry)add_workflow_comment— Comment on a workflowadd_shared_result_comment— Comment on a shared resultvote_workflow— Upvote/downvote a workflowvote_shared_result— Upvote/downvote a shared result
Input Presets (7)
list_input_presets— Pre-configured input sets for a workflowget_input_preset— Specific preset with all valuescreate_input_preset— Create a shareable presetupdate_input_preset— Update preset description/valuesdelete_input_preset— Delete a presetvote_input_preset— Vote on a presettoggle_community_inputs— Enable/disable community inputs for a workflow
Teams (1)
list_user_teams— List all teams the user belongs to (with role + member count)
Knowledge Base / RAG (14)
list_knowledge_categories— Document categories in your knowledge basecreate_knowledge_category— New category with name, description, colorupdate_knowledge_category— Update category propertiesdelete_knowledge_category— Delete a category (documents become uncategorized)list_knowledge_documents— Documents with category/team/status filtersget_knowledge_document— Document details by ID/hashupload_text_document— Upload text content directlyupload_document_from_url— Download and add a document from a URLmove_document_to_category— Move a document or make it uncategorizedtransfer_document_ownership— Transfer between personal and team knowledge basereprocess_document— Reprocess a failed/stuck documentdelete_knowledge_document— Permanently delete a documentquery_knowledge_base— Semantic + keyword RAG searchget_knowledge_storage— Storage usage and limits
Agent Toolkits (24)
Agent Toolkits let an AI client *create new tools* through the MCP interface — effectively MCP within MCP. Once installed, toolkit tools become callable via invoke_toolkit_tool.
Toolkit Management (12)
list_agent_toolkits— Your toolkitssearch_agent_toolkits— Search public toolkit marketplaceget_agent_toolkit— Toolkit details (tools, credentials, metadata)get_toolkit_comments— Comments on a toolkitcreate_agent_toolkit— Create a new toolkit with credential requirements- `update_ag
只显示了开头部分;其余内容请在仓库中阅读