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PopNx MCPMCP servers for people who use AI · explained in plain words

FlowDot

by flowdot-llcversion 1.3.21i★ –iRuns on your computer
Registry nameai.flowdot/mcp-server

Install

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.

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: 1 of 1 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

  • npmNode.js installed (for the npx command)

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-server

Fill in the empty values before running it.

Open in Cursor

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.

Open in VS Code

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_API_TOKEN secret required env
    Your FlowDot MCP token (starts with fd_mcp_). Create one free at https://flowdot.ai/mcp
  • FLOWDOT_HUB_URL env
    FlowDot 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.

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 6, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified against the domain flowdot.ai (the registry checks domain ownership)

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – 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

Compared with others in Search & AI memoryi

  • More stars than 0% of the other 7226 servers in this category
  • Published to the registry more recently than 54% of the other 7226 servers in this category
  • Basic checks equal to or better than 100% of the other 7226 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 1 of 1 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 –, and the latest version (1.3.21) reached the registry 32 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: Context7, Codebase Memory, Exa

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

Context7

by upstash

Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.

Computer or cloud★ 64,224MITUpdated 3 days ago
Install

Codebase Memory

by DeusData

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

Runs on your computer★ 48,148MITUpdated 20 days ago
Install

Exa

by exa-labs

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

Runs in the cloud★ 5,213MITUpdated 44 days ago
Install

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:

ResourceContent
learn://overviewFlowDot platform overview
learn://workflowsWorkflow creation guide
learn://recipesAgent recipe orchestration guide
learn://custom-nodesCustom node development guide
learn://appsApp development guide
learn://toolkitsAgent toolkit guide
learn://knowledge-baseKnowledge base & RAG guide
learn://charactersAgent 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 user
  • execute_workflow — Execute a workflow with optional inputs (sync or async)
  • get_execution_status — Get the status and results of a workflow execution
  • agent_chat — Chat with the FlowDot AI agent for workflow assistance
Analytics & Feedback (3)
  • get_workflow_metrics — Impressions, success/failure rates, average duration
  • get_workflow_comments — Comments and ratings on workflows
  • get_execution_history — Past execution history with timestamps and status
Workflow Management (5)
  • get_workflow_details — Detailed workflow info including nodes, connections, signature
  • get_workflow_inputs_schema — Input schema with expected types and required fields
  • duplicate_workflow — Create a copy of an existing workflow
  • toggle_workflow_public — Make a workflow public or private
  • favorite_workflow — Add/remove workflow from favorites
Execution Enhancements (3)
  • cancel_execution — Cancel running/pending workflow executions
  • retry_execution — Retry failed executions with the same inputs
  • stream_execution — Real-time SSE streaming of workflow execution
Discovery & Search (5)
  • get_workflow_tags — Get tags associated with a workflow
  • set_workflow_tags — Set/update workflow tags
  • search_workflows — Search workflows by name, description, tags
  • search — Unified search across workflows, apps, custom nodes
  • get_public_workflows — Browse public workflows shared by other users
Workflow Building (4)
  • create_workflow — Create a new empty workflow
  • delete_workflow — Permanently delete a workflow
  • get_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 category
  • get_node_schema — Full schema for a node type (inputs, outputs, properties)
  • add_node — Add new node (built-in or custom via custom_node_{hash})
  • update_node — Update node position or properties
  • delete_node — Delete node and all its connections
Connection Operations (3)
  • add_connection — Connect a node output to a node input
  • delete_connection — Remove a connection between two nodes
  • get_node_connections — Get all connections to/from a specific node
Custom Nodes (13)
  • list_custom_nodes — List your custom nodes with search/category filtering
  • search_public_custom_nodes — Search public nodes shared by the community
  • get_custom_node — Detailed custom node info (inputs, outputs, script code)
  • get_custom_node_comments — Comments and ratings on a custom node
  • get_custom_node_template — Generate a working script template based on I/O definitions
  • create_custom_node — Create new custom node with script, inputs, outputs (validated with AST parsing)
  • update_custom_node — Update name, description, code, properties
  • delete_custom_node — Permanently delete a custom node
  • copy_custom_node — Copy a public node to your library
  • toggle_custom_node_visibility — Change visibility (private/public/unlisted)
  • vote_custom_node — Upvote/downvote/remove vote
  • favorite_custom_node — Add/remove from favorites
  • add_custom_node_comment — Add comment or reply
Apps (23)
Core App Operations (12)
  • list_apps — List your React frontend apps
  • search_apps — Search the public app marketplace
  • get_app — Detailed app info including React code and linked workflows
  • create_app — Create a new React app (Tailwind + React 18, sandboxed)
  • update_app — Update name, description, code, config, mobile settings
  • delete_app — Permanently delete app
  • publish_app — Publish to the public marketplace
  • unpublish_app — Make a published app private
  • clone_app — Clone a public app to your library
  • link_app_workflow — Link a workflow to an app for invokeWorkflow() use
  • unlink_app_workflow — Unlink a workflow from an app
  • link_app_toolkit — Link a toolkit to an app for invokeTool() use
  • unlink_app_toolkit — Unlink a toolkit from an app
  • get_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 code
  • append_app_code — Append content before the closing brace
  • prepend_app_code — Prepend content to the start
  • insert_app_code — Insert content after a specific pattern match
Multi-File App Operations (7)
  • list_app_files — List all files in a multi-file app
  • get_app_file — Get content of a specific file
  • create_app_file — Create new file (jsx, js, ts, tsx, css, json, md)
  • update_app_file — Update file content and type
  • delete_app_file — Delete a file
  • rename_app_file — Rename or move a file
  • set_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 workflow
  • list_shared_results — Shared execution results for a workflow
  • get_shared_result — Specific shared result with outputs/inputs
  • get_shared_result_comments — Comments on a shared result
  • create_shared_result — Create a shareable link (with optional expiry)
  • add_workflow_comment — Comment on a workflow
  • add_shared_result_comment — Comment on a shared result
  • vote_workflow — Upvote/downvote a workflow
  • vote_shared_result — Upvote/downvote a shared result
Input Presets (7)
  • list_input_presets — Pre-configured input sets for a workflow
  • get_input_preset — Specific preset with all values
  • create_input_preset — Create a shareable preset
  • update_input_preset — Update preset description/values
  • delete_input_preset — Delete a preset
  • vote_input_preset — Vote on a preset
  • toggle_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 base
  • create_knowledge_category — New category with name, description, color
  • update_knowledge_category — Update category properties
  • delete_knowledge_category — Delete a category (documents become uncategorized)
  • list_knowledge_documents — Documents with category/team/status filters
  • get_knowledge_document — Document details by ID/hash
  • upload_text_document — Upload text content directly
  • upload_document_from_url — Download and add a document from a URL
  • move_document_to_category — Move a document or make it uncategorized
  • transfer_document_ownership — Transfer between personal and team knowledge base
  • reprocess_document — Reprocess a failed/stuck document
  • delete_knowledge_document — Permanently delete a document
  • query_knowledge_base — Semantic + keyword RAG search
  • get_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 toolkits
  • search_agent_toolkits — Search public toolkit marketplace
  • get_agent_toolkit — Toolkit details (tools, credentials, metadata)
  • get_toolkit_comments — Comments on a toolkit
  • create_agent_toolkit — Create a new toolkit with credential requirements
  • `update_ag

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