Vivado MCP Native
AI & Memory
Local
Enables AI clients to directly launch, control, and analyze AMD/Xilinx Vivado on Windows and Linux, supporting project management, synthesis, implementation, bitstream generation, timing/resource analysis, and simulation through a persistent Tcl session.
How to connect
1
Glama registry
View https://glama.ai/mcp/servers/chws5b2pee for deploy options, or install from https://github.com/Arthurzxy/vivado_mcp_native (see README for MCP config).
2
GitHub
Install from https://github.com/Arthurzxy/vivado_mcp_native and add the server to your MCP client configuration (see repository README).
Tools
Tool names are not listed in our registry for this server. Connect it in your MCP client to see the live tool list.