Context7
Up-to-date docs for AI agents
Descripción del creador (original en inglés)
Build and run AI workflows, apps, toolkits and knowledge bases on FlowDot from any MCP client.
Estos tres nunca se combinan en una sola puntuación: las opiniones, las mediciones y la popularidad son cosas distintas.
Todavía no escribimos un resumen sencillo para este. Abajo están los datos que leímos del registro.
Elige la app de IA que usas y copia la configuración.
FLOWDOT_API_TOKEN, FLOWDOT_HUB_URLLos valores marcados como secretos son llaves de tu cuenta. Nunca los compartas ni los pegues en un chat.
Necesitas
¿Qué app usas?
Elige tu app arriba. La recordamos, así que la próxima vez el botón dirá “Instalar en …”.
Abre Claude Desktop → Settings → Developer → Edit Config y pega esto en 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"
}
}
}
}Ejecuta esto en tu terminal
claude mcp add flowdot --env FLOWDOT_API_TOKEN=your-value --env FLOWDOT_HUB_URL=your-value -- npx -y @flowdot.ai/mcp-serverCompleta los valores vacíos antes de ejecutarlo.
Pégalo en .cursor/mcp.json de tu proyecto, o en ~/.cursor/mcp.json
{
"mcpServers": {
"flowdot": {
"command": "npx",
"args": [
"-y",
"@flowdot.ai/mcp-server"
],
"env": {
"FLOWDOT_API_TOKEN": "your-value",
"FLOWDOT_HUB_URL": "your-value"
}
}
}
}Tu navegador te pide permiso para abrir la app; luego la app muestra la configuración y te pide confirmar. Los valores de las claves quedan vacíos para que los completes tú.
Pégalo en .vscode/mcp.json de tu proyecto
{
"servers": {
"flowdot": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@flowdot.ai/mcp-server"
],
"env": {
"FLOWDOT_API_TOKEN": "your-value",
"FLOWDOT_HUB_URL": "your-value"
}
}
}
}Tu navegador te pide permiso para abrir la app; luego la app muestra la configuración y te pide confirmar. Los valores de las claves quedan vacíos para que los completes tú.
Este se ejecuta en tu computadora, y ChatGPT solo puede conectarse a servidores en internet. Elige otra app.
Tu elección se guarda en una cookie en este dispositivo; no necesitas cuenta.
FLOWDOT_HUB_URL envEsta configuración se genera a partir de la ficha del creador en el registro. Si el README dice otra cosa, sigue el README.
Se ejecuta en tu computadora; la lista de herramientas aparece en tu app de IA después de instalarlo.
Revisamos información que cualquiera puede ver; no hemos leído el código. Las revisiones que no aplican no se cuentan. · Revisado el 6 nov 2026
El nombre en el registro se verificó con el dominio flowdot.ai (el registro comprueba quién es dueño del dominio)
Todavía no hemos leído este repo en GitHub
Todavía no hemos leído este repo en GitHub
Este se ejecuta en tu computadora; no hay endpoint en internet
Se ejecuta en tu computadora y usa ajustes locales en su lugar
Se ejecuta en tu computadora; solo podemos leer listas de herramientas de endpoints en internet
Comparado con todos los servidores activos de esta categoría en el registro. Las estrellas solo cuentan cuando quien lo publica es dueño del repo.
Superó 1 de 1 revisiones básicas aplicables. No hemos leído el código. Antes de agregar una clave o un token, revisa qué acceso pide el servidor y usa una clave que tenga solo los permisos que necesitas.
Debes completar: FLOWDOT_API_TOKEN
Se ejecuta en tu computadora. Tu app de IA lo inicia cuando hace falta, y los datos no pasan por los servidores del creador (a menos que el propio servidor llame a un servicio en línea).
El repo de GitHub cambió por última vez –, y la última versión (1.3.21) llegó al registro hace 32 días.
Las apps compatibles con MCP, como Claude Desktop, Claude Code, Cursor y VS Code. También necesitas Node.js en tu computadora.
En la misma categoría: Context7, Codebase Memory, Exa
Servidores de la misma categoría hechos por otros creadores, ordenados por estrellas.
Cómo leer una tarjeta:★ Estrellas de GitHubiTres pilares: reseñas · revisiones · usoiActualizado = fecha en que se publicó la última versión en el registroi
Up-to-date docs for AI agents
Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.
Connect AI agents to Exa for web search, content fetching, and multi-step research.
Copiado tal cual del repo del creador. PopNx MCP no lo ha revisado ni lo respalda. Se quitaron HTML, imágenes y scripts. Los enlaces llevan fuera de este sitio.
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.
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:
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.
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.
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" } } } }
Restart Claude Desktop, Cursor or your MCP client so it loads the server. Claude Code picks it up on the next session.
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.
npx @flowdot.ai/mcp-server
Or install globally:
npm install -g @flowdot.ai/mcp-server
flowdot-mcp
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 |
The server exposes 150 tools organized into 17 categories.
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 assistanceget_workflow_metrics — Impressions, success/failure rates, average durationget_workflow_comments — Comments and ratings on workflowsget_execution_history — Past execution history with timestamps and statusget_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 favoritescancel_execution — Cancel running/pending workflow executionsretry_execution — Retry failed executions with the same inputsstream_execution — Real-time SSE streaming of workflow executionget_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 userscreate_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 nodeslist_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 via custom_node_{hash})update_node — Update node position or propertiesdelete_node — Delete node and all its connectionsadd_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 nodelist_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 replylist_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 for invokeWorkflow() useunlink_app_workflow — Unlink a workflow from an applink_app_toolkit — Link a toolkit to an app for invokeTool() useunlink_app_toolkit — Unlink a toolkit from an appget_app_template — Get starter code templates (basic, chat, dashboard, form-builder, data-viewer)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 matchlist_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 pointget_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 resultlist_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 workflowlist_user_teams — List all teams the user belongs to (with role + member count)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 limitsAgent 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.
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 requirementsSolo se muestra el principio; lee el resto en el repo