Context7
Up-to-date docs for AI agents
제작자가 쓴 설명(영어 원문)
Build and run AI workflows, apps, toolkits and knowledge bases on FlowDot from any MCP client.
이 세 가지는 절대 하나의 점수로 합치지 않아요. 의견, 측정, 인기는 서로 다른 것이니까요.
이 서버는 아직 쉬운 말로 된 요약을 쓰지 못했어요. 아래는 레지스트리에서 읽어 온 사실이에요.
쓰고 있는 AI 앱을 고른 다음 설정을 복사하세요.
FLOWDOT_API_TOKEN, FLOWDOT_HUB_URL비밀로 표시된 값은 내 계정의 열쇠예요. 절대 다른 사람과 공유하거나 채팅에 붙여 넣지 마세요.
필요한 것
어떤 앱을 쓰세요?
위에서 앱을 고르세요. 기억해 두었다가 다음부터는 버튼에 “…에 설치”라고 표시해요.
Claude Desktop → Settings → Developer → Edit Config를 열고 claude_desktop_config.json에 이 내용을 붙여 넣으세요
{
"mcpServers": {
"flowdot": {
"command": "npx",
"args": [
"-y",
"@flowdot.ai/mcp-server"
],
"env": {
"FLOWDOT_API_TOKEN": "your-value",
"FLOWDOT_HUB_URL": "your-value"
}
}
}
}터미널에서 이 명령어를 실행하세요
claude mcp add flowdot --env FLOWDOT_API_TOKEN=your-value --env FLOWDOT_HUB_URL=your-value -- npx -y @flowdot.ai/mcp-server실행하기 전에 빈 값을 채워 주세요.
프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"flowdot": {
"command": "npx",
"args": [
"-y",
"@flowdot.ai/mcp-server"
],
"env": {
"FLOWDOT_API_TOKEN": "your-value",
"FLOWDOT_HUB_URL": "your-value"
}
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
프로젝트의 .vscode/mcp.json에 붙여 넣으세요
{
"servers": {
"flowdot": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@flowdot.ai/mcp-server"
],
"env": {
"FLOWDOT_API_TOKEN": "your-value",
"FLOWDOT_HUB_URL": "your-value"
}
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
이 서버는 내 컴퓨터에서 실행되는데, ChatGPT는 인터넷에 있는 서버에만 연결할 수 있어요. 다른 앱을 고르세요.
선택한 앱은 이 기기의 쿠키에만 저장돼요. 계정은 필요 없어요.
FLOWDOT_HUB_URL env이 설정은 제작자의 레지스트리 정보로 만들었어요. README와 다르면 README를 따르세요.
내 컴퓨터에서 실행돼요. 설치하면 AI 앱에 도구 목록이 나타나요.
누구나 볼 수 있는 정보를 점검했고, 코드는 읽지 않았어요. 해당하지 않는 항목은 개수에서 뺐어요. · 2026년 11월 6일 점검
레지스트리 이름이 도메인 flowdot.ai 기준으로 확인되었어요(레지스트리가 도메인 소유를 확인해요)
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
내 컴퓨터에서 실행되는 서버라 인터넷 엔드포인트가 없어요
내 컴퓨터에서 실행되며, 대신 로컬 설정을 사용해요
내 컴퓨터에서 실행돼요. 도구 목록은 인터넷 엔드포인트가 있는 서버에서만 읽을 수 있어요
레지스트리에서 이 카테고리의 활성 서버 전체와 비교했어요. 스타는 게시자가 저장소를 소유한 경우에만 세요.
해당하는 기본 점검 1개 중 1개를 통과했어요. 코드는 읽지 않았어요. 키나 토큰을 넣기 전에 서버가 어떤 권한을 요구하는지 확인하고, 꼭 필요한 권한만 있는 키를 쓰세요.
입력해야 할 값: FLOWDOT_API_TOKEN
내 컴퓨터에서 실행돼요. AI 앱이 필요할 때 실행하고, 데이터는 제작자의 서버를 거치지 않아요(서버 자체가 온라인 서비스를 호출하는 경우는 제외).
GitHub 저장소는 마지막으로 – 변경됐고, 최신 버전(1.3.21)은 32일 전 레지스트리에 올라왔어요.
Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. 내 컴퓨터에 Node.js도 있어야 해요.
같은 카테고리에는: Context7, Codebase Memory, Exa
같은 카테고리에서 다른 제작자가 만든 서버예요. 스타 순으로 정렬했어요.
카드 보는 법:★ GitHub 스타i세 기둥: 리뷰 · 점검 · 사용 정도i업데이트 = 최신 버전을 레지스트리에 공개한 날i
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.
제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.
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 requirements앞부분만 보여 드려요. 나머지는 저장소에서 읽어 보세요