flowzap-xyz/flowzap-mcp
by Various
MCP server for FlowZap - Create workflow diagrams via AI assistants
MCP
flowzap-xyz/flowzap-mcp
Added 1 June 2026
Overview
FlowZap MCP is a Model Context Protocol server that lets AI assistants generate workflow diagrams. It translates natural language requests into structured diagram definitions, enabling developers to create flowcharts through chat interfaces.
Best for
Best for
Developers who want to quickly generate workflow diagrams using AI assistants
Use cases
- Generate workflow diagrams from conversational prompts
- Integrate diagram creation into AI-assisted development workflows
- Automate documentation of process flows via AI assistants
How to use
Install
npx skills add flowzap-xyz/flowzap-mcp Tools exposed
flowzap_validateflowzap_create_playgroundflowzap_get_syntaxflowzap_export_graphflowzap_artifact_to_diagramflowzap_diffflowzap_apply_changeflowzap_compliance_check
Tested with
Claude Desktop, Claude Code, Cursor, Windsurf, Cline, Continue, VS Code, ChatGPT
Example client config
{\n "mcpServers": {\n "flowzap": {\n "command": "npx",\n "args": ["-y", "flowzap-mcp"]\n }\n }\n} Notes
FlowZap MCP is a Model Context Protocol server that lets AI assistants generate workflow diagrams. It translates natural language requests into structured diagram definitions, enabling developers to create flowcharts through chat interfaces.
4 stars on GitHub. Last updated 2026-05-26. Licensed MIT.
Use cases
- Generate workflow diagrams from conversational prompts
- Integrate diagram creation into AI-assisted development workflows
- Automate documentation of process flows via AI assistants
Pros
- Low friction: no manual diagramming tools needed
- Leverages existing MCP ecosystem for AI integration
- TypeScript codebase is approachable for most developers
Cons
- Limited to diagram generation; no editing or collaboration features
- Dependent on MCP-compatible AI assistants
- Small community and limited documentation due to early stage
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- Low friction: no manual diagramming tools needed
- Leverages existing MCP ecosystem for AI integration
- TypeScript codebase is approachable for most developers
Cons
- Limited to diagram generation; no editing or collaboration features
- Dependent on MCP-compatible AI assistants
- Small community and limited documentation due to early stage
Pairs with
Other entries in the index that connect to this one. Click through to see the chain.
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