MCP server · Workflowy

Workflowy MCP

Workflowy MCP is a desktop app that lets you connect your Workflowy account to external AI agents over the Model Context Protocol. Documented on Workflowy's official help site; releases are distributed from GitHub.

Open endpoint → Workflowy provider profile

One-click install for Cursor, VS Code, Claude, and 20+ other MCP clients, powered by API Commons MCP Install — visit install.apicommons.org for more information.

Provider: Workflowy Type: Hosted endpoint Transport: stdio Host: workflowy.com

Endpoint

https://workflowy.com/help/mcp-server

Hosted endpoint · transport stdio

Connect

This is a remote MCP server — point an MCP client at the endpoint URL. Clients with native remote support (Claude, Cursor, VS Code, …):

# mcp client config (e.g. .mcp.json / mcp settings) { "mcpServers": { "workflowy": { "url": "https://workflowy.com/help/mcp-server" } } }

For stdio-only clients (older Claude Desktop, etc.), bridge with mcp-remote:

# Add to claude_desktop_config.json { "mcpServers": { "workflowy": { "command": "npx", "args": ["-y", "mcp-remote", "https://workflowy.com/help/mcp-server"] } } }

If the server requires authentication, add the provider's token/header (e.g. an X-API-Key) per its docs. A quick reachability check:

curl -i -X POST https://workflowy.com/help/mcp-server \ -H "Content-Type: application/json" -H "Accept: application/json, text/event-stream" \ -d '{"jsonrpc":"2.0","id":1,"method":"tools/list"}'

About MCP

The Model Context Protocol (MCP) is an open protocol Anthropic introduced for connecting LLM-based agents to external tools and data sources. Providers publish MCP servers that expose their API surface as structured, discoverable tools — an MCP-compatible client (Claude Desktop, Cursor, Cline, Continue, etc.) can connect to the server and call its tools without any per-provider integration code.

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