Workflow Graph
Enables orchestration of MCP tool calls through declarative YAML-defined directed graphs with data transformation, conditional routing, and observable execution flows.
What is Workflow Graph?
Workflow Graph is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to enables orchestration of mcp tool calls through declarative yaml-defined directed graphs with data transformation, conditional routing, and observable execution flows.
Enables orchestration of MCP tool calls through declarative YAML-defined directed graphs with data transformation, conditional routing, and observable execution flows.
This server falls under the Developer Tools category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- Enables orchestration of MCP tool calls through declarative
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx mcpgraphConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
Frequently Asked Questions about Workflow Graph
What is Workflow Graph?
Workflow Graph is a Model Context Protocol (MCP) server that enables orchestration of mcp tool calls through declarative yaml-defined directed graphs with data transformation, conditional routing, and observable execution flows. It connects AI assistants to external tools and data sources through a standardized interface.
How do I install Workflow Graph?
Follow the installation instructions on the Workflow Graph GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with Workflow Graph?
Workflow Graph works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is Workflow Graph free to use?
Yes, Workflow Graph is open source and available under the MIT License license. You can use it freely in both personal and commercial projects.
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Set Up Workflow Graph in Your Editor
Choose your AI client for step-by-step setup instructions.
Quick Config Preview
Add this to your claude_desktop_config.json or .cursor/mcp.json
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