FlowchartAI MCP

The FlowchartAI MCP server enables AI assistants to create, edit, save, and export flowcharts directly within the FlowchartAI platform. It supports OAuth and API key authentication, allowing agents to generate diagrams from natural language, revise existing files, manage versions, and export results in formats like draw.io XML or JSON. The server handles task receipts and credit usage, ensuring secure and controlled access to diagramming tools without requiring local server installation.

Endpoint and access

OAuth sign-in: the first time you connect, your client opens the vendor's own authorization prompt in a browser.

OAuth sign-inEndpoint checked 2026-10-26Operated by FlowChart AI

MCP endpoint (Streamable HTTP)

https://flowchartai.org/api/mcp

Vendor documentation

What you can do with it

Create an onboarding flow with signup and email verification steps
Revise an existing diagram by adding a welcome email after activation
Map a process described in a ticket and attach the saved file to handoff
Export a diagram as editable draw.io XML or original JSON document

Connect from your client

Each snippet registers the same endpoint; pick the client you use.

This server is operated by the named third party. Listing and endpoint checks are not an endorsement or a security audit. Review the operator's permissions, terms, and data handling before connecting. How listings are checked and corrected.

Claude Code

Run this once in a terminal. It registers a Streamable HTTP server. Use --scope project to write .mcp.json for the repo.

Claude Code configuration

claude mcp add --transport http flowchartai-mcp https://flowchartai.org/api/mcp

Codex

Run this once. Codex stores MCP servers in ~/.codex/config.toml (or .codex/config.toml in a trusted project).

Codex configuration

codex mcp add flowchartai-mcp --url https://flowchartai.org/api/mcp

Cursor

Merge this server into .cursor/mcp.json in your project, then enable flowchartai-mcp in your MCP settings.

Cursor configuration

{
  "mcpServers": {
    "flowchartai-mcp": {
      "url": "https://flowchartai.org/api/mcp"
    }
  }
}

Cline

Merge this into cline_mcp_settings.json (Cline → MCP Servers → Configure). The type must be streamableHttp for a remote HTTP server.

Cline configuration

{
  "mcpServers": {
    "flowchartai-mcp": {
      "type": "streamableHttp",
      "url": "https://flowchartai.org/api/mcp",
      "disabled": false
    }
  }
}

VS Code

Merge this server into .vscode/mcp.json. Use MCP: List Servers to start flowchartai-mcp and inspect its tools.

VS Code configuration

{
  "servers": {
    "flowchartai-mcp": {
      "type": "http",
      "url": "https://flowchartai.org/api/mcp"
    }
  }
}

Gemini CLI

Run this once. It writes .gemini/settings.json in the current project; pass --scope user for ~/.gemini/settings.json.

Gemini CLI configuration

gemini mcp add --transport http flowchartai-mcp https://flowchartai.org/api/mcp

Claude Desktop

Merge this into claude_desktop_config.json (macOS: ~/Library/Application Support/Claude/, Windows: %APPDATA%\Claude\), then restart Claude Desktop.

Claude Desktop configuration

{
  "mcpServers": {
    "flowchartai-mcp": {
      "url": "https://flowchartai.org/api/mcp"
    }
  }
}

Windsurf

Merge this into ~/.codeium/windsurf/mcp_config.json, then refresh MCP in Cascade. Windsurf remote servers use serverUrl, not url.

Windsurf configuration

{
  "mcpServers": {
    "flowchartai-mcp": {
      "serverUrl": "https://flowchartai.org/api/mcp"
    }
  }
}

Ground your agent in cited data

FlowchartAI MCP gives your agent tools. Koskamo gives it reviewed, cited facts to check its answers against. Add it as a second MCP server; public reads need no API key.

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