video-search-and-summarization (NVIDIA-AI-Blueprints/video-search-and-summarization) is an MCP server listed on the M8ven Trust Index. It scores 98 out of 100, grade A. It declares 35 tools. No publisher has claimed this listing.
NVIDIA AI Blueprint for video search and summarization (VSS) is a GPU-accelerated reference architecture for building video analytics agents with real-time verified alerts, visual Q&A, and automated reporting. The VSS Blueprint uses vision language models (VLMs) such as NVIDIA Cosmos, LLMs such as NVIDIA Nemotron, RAG, and NVIDIA NIMs.
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NVIDIA-AI-Blueprints
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ANALYZECOMPRESSCORS_ORIGINDEFAULT_MODELHTTP_PUBLIC_PATHRUN_APP_NAMEWS_PUBLIC_PATHNOTIFY_BACKENDSVST_ENDPOINTVST_PUBLIC_URL_BASEWEBHOOK_HOSTWEBHOOK_PORTPROMETHEUS_PORTBREV_LINK_DOMAINBREV_ENV_IDBREV_LINK_PREFIXVSS_API_ENABLE_VERSIONINGLVS_MCP_PORTSSH_CLIENTSSH_TTYCONTAINERREMOTE_CONTAINERS_IPCCODESPACESSTORAGE_PROVIDERBASE_PREFIX_PATHSIMULATION_IDAWS_ACCESS_KEY_IDAWS_SECRET_ACCESS_KEYAWS_REGIONAWS_BUCKETGCS_HMAC_ACCESS_KEY_IDGCS_HMAC_SECRET_ACCESS_KEYGCS_BUCKETGCS_REGIONGCS_ENDPOINT_URLVSS_AGENT_VERSIONVST_INTERNAL_URLVIA_DEV_APILVS_ENABLE_MCPVSS_SKIP_INPUT_MEDIA_VERIFICATIONFORCE_PYTHON_GCENABLE_AUDIORTVI_STREAM_DELETE_DRAIN_TIMEOUT_SECRTVI_STREAM_DELETE_BLOCKING_TIMEOUT_SECFILE_URL_ALLOWED_DIRSVLM_MODEL_SUPPORTS_AUDIORTVI_LOG_DIRVLM_MAX_MODEL_LENALERT_AGENT_CONFIG_DIRLOG_VERBOSE_PROMPTSLOG_VERBOSE_VLM_RESPONSEFASTAPI_PORTPROMETHEUS_MULTIPROC_DIRCONFIG_PATHVLM_WARMUP_ENABLEDINSTALL_PROPRIETARY_CODECSPYTHONPATHVSS_PROPRIETARY_CODECS_MAX_RETRY_SECONDSVSS_PROPRIETARY_CODECS_DIRVSS_OPENCV_VERSIONVSS_PROPRIETARY_CODECS_WHEELLOG_VERBOSE_ESLOG_VERBOSE_DEDUPLOG_LEVEL_ROOTLOG_LEVEL_3PLOG_SINGLE_LINELOG_TRUNCATE_BASE64NEXT_PUBLIC_AGENT_API_URL_BASENEXT_PUBLIC_ALERTS_API_URLNEXT_PUBLIC_ALERTS_TAB_ALERTS_FETCH_DEFAULT_TIME_WINDOW_IN_MINUTESNEXT_PUBLIC_ALERTS_TAB_ALERTS_FETCH_MAX_RESULT_SIZENEXT_PUBLIC_ALERTS_TAB_ALERT_REPORT_PROMPT_TEMPLATENEXT_PUBLIC_ALERTS_TAB_DEFAULT_AUTO_REFRESH_IN_MILLISECONDSNEXT_PUBLIC_ALERTS_TAB_MAX_SEARCH_TIME_LIMITNEXT_PUBLIC_ALERTS_TAB_MEDIA_WITH_OBJECTS_BBOXNEXT_PUBLIC_ALERTS_TAB_VERIFIED_FLAG_DEFAULTNEXT_PUBLIC_APP_SUBTITLENEXT_PUBLIC_APP_TITLENEXT_PUBLIC_CHAT_UPLOAD_FILE_CONFIG_TEMPLATE_JSONNEXT_PUBLIC_DARK_THEME_DEFAULTNEXT_PUBLIC_DASHBOARD_TAB_KIBANA_BASE_URLNEXT_PUBLIC_ENABLE_ALERTS_TABNEXT_PUBLIC_ENABLE_CHAT_TABNEXT_PUBLIC_ENABLE_DASHBOARD_TABNEXT_PUBLIC_ENABLE_MAP_TABNEXT_PUBLIC_ENABLE_SEARCH_TABNEXT_PUBLIC_ENABLE_VIDEO_MANAGEMENT_TABNEXT_PUBLIC_MAP_URLNEXT_PUBLIC_MDX_WEB_API_URLNEXT_PUBLIC_SEARCH_TAB_MEDIA_WITH_OBJECTS_BBOXNEXT_PUBLIC_VIDEO_MANAGEMENT_TAB_ADD_RTSP_ENABLENEXT_PUBLIC_VIDEO_MANAGEMENT_VIDEO_UPLOAD_ENABLENEXT_PUBLIC_VST_API_URLTool annotations
No tools have read-only/destructive annotations
Add readOnlyHint or destructiveHint annotations to every tool so hosts can warn users before invoking.
All four hints declared on every tool
35/35 tools missing one or more hints — sensor_list (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); sensor_status (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); get_live_picture_base64 (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint), +32 more. OpenAI's directory rejects tools where any of the four hints are missing or non-boolean.
For every tool, set all four hints (readOnlyHint, destructiveHint, idempotentHint, openWorldHint) to explicit true/false values that match the handler’s actual behaviour.
Tool test coverage
25/35 tools referenced in tests (71%)
Write tests that reference each tool by name so every tool has at least one test.
Shell command execution
1 child_process/subprocess call in production code — runs shell commands (services/agent/docker/entrypoint.py:47)
Prefer library functions over shell-outs. If you must shell out, ensure all inputs are properly escaped.
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