renderdoc-mcp
renderdoc-mcp is an MCP (Model Context Protocol) server that uses RenderDoc’s headless Python replay API to analyze GPU frame capture files (.rdc). It exposes many MCP tools for session/capture management, event navigation, pipeline/shader inspection, resource export/extraction, pixel diagnostics, and performance/pass analysis.
Score Breakdown
⚙ Agent Friendliness
🔒 Security
No TLS/auth/authz model described (likely intended for local usage). It requires a local RenderDoc module path and reads/exports capture-derived data; the README does not discuss input sanitization, sandboxing, file-write permissions, or redaction of sensitive data contained in captures. Dependency hygiene and CVE posture cannot be determined from provided content.
⚡ Reliability
Best When
You have local RenderDoc installed, can point the MCP server to the RenderDoc module, and want an AI agent to drive systematic, reproducible analysis of captured frames in a headless workflow.
Avoid When
You need a hosted API with robust authentication, rate limiting, and operational guarantees; this project appears to be a local developer tool rather than a managed service.
Use Cases
- • AI-assisted debugging of graphics issues from .rdc captures (pipeline/blend/depth/stencil/shader state)
- • Automated identification of render passes, draw-call differences, and potential state-change/batching optimizations
- • Texture/pixel/RT anomaly detection (NaN/Inf/negative hotspots) and per-pixel history investigation
- • Mobile/GPU quirk and precision-mismatch risk diagnostics
- • Headless batch export of textures/render targets/meshes for further offline analysis
Not For
- • Real-time capture analysis without pre-existing .rdc files
- • Production-grade, multi-tenant, internet-facing services requiring strong auth and TLS termination
- • Environments where the RenderDoc replay module cannot be loaded (missing renderdoc.pyd/renderdoc.so)
- • Workloads needing strict PII/secret redaction guarantees (no explicit redaction policy documented)
Interface
Authentication
No auth, API keys, or user-level access control described in the README; MCP server appears intended to run locally and be controlled by the configured MCP client.
Pricing
No pricing information provided; repository appears to be an open-source tool.
Agent Metadata
Known Gotchas
- ⚠ Requires RenderDoc Python module (renderdoc.pyd/renderdoc.so) and correct RENDERDOC_MODULE_PATH; tool execution may fail if the module path is wrong.
- ⚠ Some event/pipeline queries likely require navigation via set_event before calling pipeline/detail tools (README notes set_event is required before pipeline queries).
- ⚠ Large exports (batch texture export, pixel history) may be slow/heavy; no rate limiting or workload guidance documented.
- ⚠ Captures are stateful per session (open_capture auto-closes previous capture); agents should manage session lifecycle carefully (open->analyze->close).
Alternatives
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Scores are editorial opinions as of 2026-03-30.