Vivado Agent MCP
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- AlicenseAqualityCmaintenanceEnables AI agents to safely automate Vivado build flows through state-aware MCP tools, asynchronous job tracking, and readiness gates for synthesis, implementation, and bitstream generation.10MIT
- FlicenseNot gradedqualityAmaintenanceEnables Claude Code, Cursor, Codex, and other AI agents to safely drive a locally installed Xilinx Vivado through MCP, covering synthesis, implementation, timing/CDC/XDC/IP/waveform analysis, bitstream programming, and evidence-driven workflow prompts.-
- FlicenseNot gradedqualityAmaintenanceEnables AI coding agents such as Claude Code, Cursor, and Codex to safely drive a locally installed Xilinx Vivado through 32 MCP tools spanning sessions, synthesis, implementation, timing and CDC analysis, XDC checks, IP inspection, offline waveform queries, and device programming, backed by evidence-driven workflow prompts and structured Chinese diagnostics.-
- FlicenseNot gradedqualityAmaintenanceEnables AI coding agents to safely drive a locally installed Xilinx Vivado FPGA flow, covering session control, synthesis, implementation, timing and CDC analysis, XDC constraints, IP inspection, waveform queries, and device programming with structured, evidence-based diagnostics.-
- FlicenseNot gradedqualityAmaintenanceEnables AI agents such as Claude Code, Cursor, and Codex to safely drive a locally installed Xilinx Vivado through 32 MCP tools spanning GUI/Tcl/attach sessions, synthesis, implementation, timing and CDC analysis, XDC/IO validation, IP inspection, VCD waveform queries, and device programming. It adds structured JSON timing evidence with baseline comparison, Chinese-language diagnostics for CRITICAL WARNINGs, environment self-checks, and evidence-driven workflow prompts that gate each FPGA design stage.-
- AlicenseAqualityBmaintenanceEnables MCP-capable agents to drive a real FPGA toolchain end to end—simulating, asserting, synthesizing, scanning JTAG, capturing on-chip waveforms, and configuring real silicon behind confirmation gates.45Apache 2.0
TDQS
Scored across 41 tools
Most tools target distinct resources and actions: project lifecycle, simulation, synthesis, timing, constraints, and artifact collection are cleanly separated. A few diagnostic aggregation tools like run_project_audit, collect_diagnostic_bundle, and run_pre_hw_signoff have overlapping purposes, but their descriptions delineate different scopes and outputs. Overall, an agent can generally tell the tools apart with only minor risk of misselection.
Every tool follows a consistent snake_case verb_noun pattern: get_, create_, run_, check_, collect_, validate_, etc. Even the agent-facing meta tools like get_agent_workflows and get_workflow_trace_status conform to the same convention. No camelCase or mixed verb styles are present.
41 tools is well above the 25+ threshold for a heavy tool surface. While the Vivado Project Mode flow is broad, many diagnostic aggregation and artifact collection tools could be consolidated into fewer multi-purpose tools. This count will likely overwhelm agents and increase selection latency.
The tool set provides coverage across the entire Project Mode PL development lifecycle: project creation/opening, simulation, synthesis, implementation, bitstream generation, timing/constraint analysis, diagnostic bundles, and pre-hardware signoff. The surface is remarkably complete for the stated 'no-board Project Mode PL development' scope, with no critical dead ends for standard workflows.