MCP Dev Summit North America

Major AI players (Cloudflare, Anthropic, Docker) advocate "Code Mode" - having LLMs generate wrapper MCP servers to orchestrate tools, drastically reducing context usage. However, executing LLM-generated code introduces security risks and compliance challenges.

mcpGraph provides Code Mode benefits without code execution risks. It's a YAML-based DSL for declarative MCP tool orchestration using directed graphs. Tools are defined as graphs with MCP nodes, JSONata transforms, and JSON Logic conditionals, all inspectable and auditable, and exposed to agents as MCP tools themselves.

We'll cover and demo three MCP servers: mcpGraph (the core engine), mcpGraphToolkit (agent development tools for building/testing/deploying graphs, with associated agent skills), and mcpGraphUX (visual inspection and debugging).

This approach delivers Code Mode efficiency while maintaining security, observability, and compliance—no arbitrary code execution required.

mcpGraph is open source and available at: https://github.com/TeamSparkAI/mcpGraph

The presentation will be largely based on this document (and referenced videos): https://github.com/TeamSparkAI/mcpGraph/blob/main/docs/no-code-code-mode.md