vivado-mcp / setup / crewai
Setup guide

Set up vivado-mcp in CrewAI

communityunknownunknownno verified config · noindex

MCP server for Xilinx Vivado — 让 AI(Claude Code / Cursor)驱动 FPGA 全流程:综合/实现/仿真/波形/时序诊断。30 个精简工具,CRITICAL WARNING 自动分类 + 中文修复建议,其余交给 run_tcl —— less is more


01Configuration
# vivado-mcp via CrewAI # transport: unknown # launch: the server's install method

CrewAI connects to MCP servers in code. Use its MCP client with the command/URL below; exact API varies by version.


02Steps
  1. Make sure CrewAI is installed and up to date.
  2. Wire the server into CrewAI using its MCP client API.
  3. Provide any required API keys/credentials as environment variables.
  4. Restart CrewAI and confirm vivado-mcp’s tools appear.

03Other runtimes

04Provenance
config_sourcegenerated from captured install method
last_checked2026-07-28 08:40Z
sourcesGitHub repo search [p4]

Next step

Want agents that act within guardrails? Apex is the live governed-agent product — paced, capped, and fully-logged actions with approvals before anything runs.

Explore Apex →

See also: server page · is it safe? · alternatives

Set up vivado-mcp MCP in CrewAI — MCPExplorer