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Control Vivado via MCP for FPGA development, debugging, and automated diagnostics.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "vivado-mcp" yet — see the docs or source repo.
Use vivado-mcp to connect to the current Vivado session, run Tcl commands to inspect the project state, and list the open project, target device, and synthesis status.
A structured result showing the current Vivado session details, project, device, and synthesis status.
Use vivado-mcp to analyze the latest synthesis and implementation logs for this Vivado project, identify key errors, explain likely causes, and provide prioritized fix suggestions.
An error summary, root-cause analysis, and actionable troubleshooting and fix steps.
Use vivado-mcp to inspect IP configuration and connectivity in the project, detect interface mismatches, version conflicts, or clock/reset issues, and suggest fixes.
A debugging report with detected IP issues, impact notes, and recommended changes.
Let AI assistants operate Vivado for FPGA development tasks directly.
Run FPGA toolchain tasks from linting and simulation to synthesis and programming.
Access multiple scientific MCP tools through one unified integration interface.
Run terminal commands, execute Python, and manage files for local automation.
Aggregate multiple MCP servers into a few fixed tools for AI apps.
Connect to and control Android devices for testing, debugging, and automation.