Cursor + Archyl: Architecture-Aware IDE | MCP Server Integration
Connect Archyl's MCP server to Cursor IDE. Get architecture-aware code suggestions, check drift, and manage C4 components directly from your editor.
Architecture-aware code suggestions in your favorite AI IDE
Integrate Archyl with Cursor via MCP and get code suggestions that understand your architecture. Cursor gains full context of your C4 model, ensuring AI-generated code respects system boundaries and established patterns.
Cursor + Archyl: Architecture-Aware IDE | MCP Server Integration
Connect Archyl's MCP server to Cursor IDE. Get architecture-aware code suggestions, check drift, and manage C4 components directly from your editor.
Cursor architecture tool, Cursor MCP server, Cursor IDE architecture, Cursor C4 model, AI IDE architecture, Cursor integration
181 MCP tools available
Archyl's MCP server connects to Cursor
Cursor supports MCP servers natively. Once configured, Cursor's AI assistant can access all 181 Archyl tools to query and manage your architecture.
Cursor understands your architecture context
When you ask Cursor to generate or modify code, it can reference your C4 model to understand system boundaries, component responsibilities, and established relationships.
Code suggestions respect your architecture
Generated code follows your documented architecture patterns. Cursor knows which component owns which logic, what APIs exist, and how services communicate.
Architecture-Aware Code Generation
Cursor's AI uses your C4 model to generate code that respects component boundaries, existing API contracts, and established communication patterns.
Inline Architecture Context
Ask Cursor about any component while editing. Get descriptions, relationships, technology stacks, and ownership information without switching context.
Drift Detection in Editor
Query drift scores directly from Cursor to understand if the code you are editing has diverged from the documented architecture.
Component Documentation
Create and update architecture documentation from within Cursor. Add ADRs, update component descriptions, and link code to architecture elements.
Relationship Awareness
Cursor knows how your components communicate. When modifying an API, it can flag downstream components that might be affected.
Technology Stack Visibility
See what technologies are assigned to each component. Cursor uses this context to suggest code using the correct frameworks and libraries.
Get your Archyl API key
Go to your Archyl profile settings and create an API key for the Cursor integration.
Add Archyl MCP to Cursor
Open Cursor settings, navigate to the MCP section, and add the Archyl MCP server configuration.
{ "mcpServers": { "archyl": { "command": "npx", "args": [ "-y", "@anthropic-ai/mcp-remote", "https://mcp.archyl.com/mcp", "--header", "Authorization:${AUTH_HEADER}" ], "env": { "AUTH_HEADER": "Bearer <your-api-key>" } } } }
Start coding with architecture context
Open any project in Cursor and start asking about your architecture. Cursor's AI now has full visibility into your C4 model.
Example: Architecture-aware code generation in Cursor
How does the Cursor integration differ from the Claude Code integration?
Both use the same Archyl MCP server with 181 tools. The difference is the host: Claude Code runs in your terminal, while Cursor runs in your IDE. The architecture data and capabilities are identical.
Does Cursor need to be on a specific plan for MCP support?
MCP support is available in Cursor. Check Cursor's documentation for the latest plan requirements. On the Archyl side, the MCP server works with all plans including the free Developer plan.
Can I use both Cursor and Claude Code with the same API key?
Yes. Your Archyl API key works with any MCP-compatible client. You can use the same key across Claude Code, Cursor, Windsurf, and any other tool that supports the Model Context Protocol.
Will the integration slow down Cursor?
No. MCP tool calls are made on-demand when the AI assistant needs architecture context. They do not run continuously in the background and add only milliseconds of latency per query.