Design
aiflowchart.io
An AI Flowchart MCP server that creates editable diagrams and code-derived flowcharts from plain-English descriptions or source code, with templates and export options.
ENDPOINT 1
https://mcp.aiflowchart.io/mcp
MCP server metadata
- Name
- aiflowchart
- Version
- 1.0.0
Use create_diagram whenever the user wants a flowchart, sequence/ER/UML/architecture diagram, mind map, Gantt chart, timeline or data chart; use code_to_flowchart for source code. Always give the user the returned link — it opens the diagram as an editable, presentable board.
Known tools 4
create_diagramCreate a diagram in AI Flowchart from a plain-English description and get a link that opens it as an editable board (edit, present as an animated slideshow, export PNG/PDF/PowerPoint).
Potential side effectscode_to_flowchartTurn source code (C, C++, Java, Python or JavaScript, up to 80 lines) into a lab-record style flowchart where every box is linked to its code lines, plus a step-by-step dry run for a sample input (current line, box and variables at each step).
Inferred read-onlylist_templatesList AI Flowchart's ready-made templates (lab programs, UML and ER for student projects, system designs, charts, app walkthroughs, code programs…).
Inferred read-onlyopen_templateGet a link that opens one of the templates (from list_templates) as a new editable board.
Inferred read-onlyCONNECT WITH APPROVAL
Client installation
Review this server and its permissions before adding it. Secret placeholders must be set locally.
Codex
~/.codex/config.toml
[mcp_servers.aiflowchart]
url = "https://mcp.aiflowchart.io/mcp"
enabled = true
Claude Code
.mcp.json
{
"mcpServers": {
"aiflowchart": {
"type": "http",
"url": "https://mcp.aiflowchart.io/mcp"
}
}
}
Claude Desktop
Settings → Connectors → Add custom connector
Name: aiflowchart
Remote MCP URL: https://mcp.aiflowchart.io/mcp
Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.
Cursor
.cursor/mcp.json
{
"mcpServers": {
"aiflowchart": {
"url": "https://mcp.aiflowchart.io/mcp"
}
}
}
Visual Studio Code
.vscode/mcp.json
Add to Visual Studio Code{
"servers": {
"aiflowchart": {
"type": "http",
"url": "https://mcp.aiflowchart.io/mcp"
}
}
}
Generic MCP
Client-specific MCP configuration
{
"name": "aiflowchart",
"transport": "streamable-http",
"url": "https://mcp.aiflowchart.io/mcp"
}
MCP Inspector
Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.
TRUST AND VERIFICATION EVIDENCE
Loading Trust v2 evidence…
Checking the associated registrable domain. The BuiltWith key remains server-side.
Evidence is source-attributed and does not guarantee that a third-party server is safe. Risk labels are conservative metadata heuristics.