FlowDot
Overview
Description from the maker (original English)
Build and run AI workflows, apps, toolkits and knowledge bases on FlowDot from any MCP client.
PopNx MCP’s three pillars
These three are never merged into one score: opinions, measurements and popularity are different things.
- User voiceiNo reviews yetReviews open together with accounts in a later step
- Our basic checksi2 of 3 passedChecked from public information; code not scanned yet
- UsageiVery new↓ 298/wk · ★ 0
What you can do with it
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
- Connection: Runs on your computer
- Transport: stdio
- Category: Search & AI memory
- You need to fill in: FLOWDOT_API_TOKEN
Install
Pick the AI app you use, then copy the settings.
Before you install
- Basic checks: 2 of 3 passed
- Runs on your computer with your user’s permissions (files, network, apps).
- You fill in yourself:
FLOWDOT_API_TOKEN,FLOWDOT_HUB_URL
Values marked secret are keys to your account. Never share them or paste them into a chat.
You need
Which app do you use?
Pick your app above. We remember it, so next time the button says “Install in …”.
Open Claude Desktop → Settings → Developer → Edit Config, and paste this into 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"
}
}
}
}Run this in your terminal
claude mcp add flowdot --env FLOWDOT_API_TOKEN=your-value --env FLOWDOT_HUB_URL=your-value -- npx -y @flowdot.ai/mcp-serverFill in the empty values before running it.
Or copy the settings yourself
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"flowdot": {
"command": "npx",
"args": [
"-y",
"@flowdot.ai/mcp-server"
],
"env": {
"FLOWDOT_API_TOKEN": "your-value",
"FLOWDOT_HUB_URL": "your-value"
}
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Or copy the settings yourself
Paste into .vscode/mcp.json in your project
{
"servers": {
"flowdot": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@flowdot.ai/mcp-server"
],
"env": {
"FLOWDOT_API_TOKEN": "your-value",
"FLOWDOT_HUB_URL": "your-value"
}
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.
Your choice stays on this device in a cookie; no account needed.
Values you fill in
FLOWDOT_HUB_URLenvFlowDot Hub URL. Defaults to https://flowdot.ai
These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
Which apps can use it
Based on how this server connects and on each app’s own docs, checked Nov 10, 2026.
Run on your computer in
ClaudeGooseLM StudioMsty StudioCherry StudioCursorVS Code + GitHub CopilotVisual StudioWindsurf (Devin Desktop)ZedKiroClineContinueJetBrains AI AssistantClaude CodeCodex CLIGemini CLIOpenCodenodecodeWarpLibreChatRaycast
Related guides
What it can do
Runs on your computer; the tool list appears in your AI app after you install it.
Basic checksi
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 11, 2026
- ✓ Pass
Maker matches the repo
The registry name was verified against the domain flowdot.ai (the registry checks domain ownership)
- ✓ Pass
Still maintained
Code last changed 4 days ago
- ! Caution
Has a licence
GitHub could not identify the licence type; open the file to check
- – Not applicable
Endpoint responds
This one runs on your computer; there is no internet endpoint
- – Not applicable
Sign-in with OAuth
Runs on your computer and uses local settings instead
- … Not checked yet
No hidden instructions in tool descriptions
Runs on your computer; we can only read tool lists from internet endpoints
User reviews
No reviews yet
Compared with others in Search & AI memoryi
- More stars than 0% of the other 5867 servers in this category
- Published to the registry more recently than 51% of the other 5867 servers in this category
- Basic checks equal to or better than 45% of the other 5867 servers in this category
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
Common questions
Is FlowDot safe?
It passed 2 of 3 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
What keys or codes does it need?
You need to fill in: FLOWDOT_API_TOKEN
Does it run on my computer or in the cloud?
It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).
Is it still maintained?
The GitHub repo last changed 4 days ago, and the latest version (1.3.21) reached the registry 37 days ago.
Which apps can use it?
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.
What can I use instead?
In the same category: Ruflo, Context7, Metabase
Alternatives
Servers in the same category from other makers, sorted by stars.
Reading a card:↓ Downloads per weeki★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
README from the maker
Open the README
Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.
@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