A
licenseB
qualityC
maintenanceEnables analysis of Microsoft PIX GPU and timing captures, including event inspection, counter queries, resource views, pipeline state, and GPU timing through an MCP interface.
67
MIT
nsight-graphics-mcp
Related Servers
Alternatives to nsight-graphics-mcp
No user-submitted related servers found.
Related Servers
- FlicenseBqualityCmaintenanceMCP server for RenderDoc that enables AI assistants to analyze GPU frame captures (.rdc files) for graphics debugging and performance analysis, with 42 tools covering the full RenderDoc workflow.6-
- FlicenseNot gradedqualityCmaintenanceMCP server for RenderDoc that lets AI assistants analyze GPU frame captures, inspect draw calls, shaders, and render passes for graphics debugging and performance analysis.-
- AlicenseNot gradedqualityBmaintenanceRead-only MCP server that analyzes saved frame buffers, traces, and capture receipts to pinpoint the earliest provable divergence and plan the smallest next capture for AI-assisted game debugging.2Apache 2.0
- AlicenseNot gradedqualityDmaintenanceExposes RenderDoc capture analysis to AI clients via MCP, enabling offline analysis of .rdc files (action tree, pipeline state, textures, shaders) and GUI state interaction on Windows.2MIT
- AlicenseBqualityCmaintenanceAI-first WebGL 1/2 debugging MCP server that attaches to Chrome via CDP, enables frame capture and diagnostic analysis, and collaborates with Chrome DevTools MCP for agent-driven debugging workflows.395 npm1MIT
TDQS
A3.8/5.0
Scored across 26 tools
Disambiguation4/5
Tools are mostly distinct, targeting specific operations like listing events vs. metrics vs. shader data. A few pairs (e.g., get_gpu_trace_summary and summarize_gpu_trace_range) could be confused, but descriptions clarify their different inputs and outputs.
Naming Consistency4/5
The majority follow a verb_noun snake_case pattern (list_*, get_*, open_*, collect_*), which is predictable. Minor deviations like nsight_status, profile_capture, and clear_capture_cache are still readable and fit the overall style.
Tool Count3/5
At 26 tools, this is on the heavy side, slightly above the 'borderline' range. However, the domain is complex and each tool covers a distinct aspect of capture analysis, GPU trace interrogation, or profiling, so the count is justified but could feel overwhelming.
Completeness5/5
The toolset covers the full analysis workflow: capture inspection (inspect, analyze, logs, screenshot), GPU trace management (open, collect, report, summary, metrics, shaders, PC sampling), and lifecycle cleanup (release, clear cache). No critical gaps are apparent for the stated purpose.
Maintenance
ActivitySlowing
ResponsivenessNo issues