TensorRT-LLM
TensorRT LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and supports state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. TensorRT LLM also contains components to create Python and C++ runtimes that orchestrate the inference execution in a performant way.
Trusted. Deep verification, no outstanding findings, and an established reputation. Grades reflect the full trust pyramid: code, verification depth, and reputation. New projects cap at C until adoption is earned.
How we verified
Verified is a snapshot. Live keeps it current, and builds your track record.
⚡ Connect GitHub → continuous verification on every pushwhy connect →Who stands behind it
NVIDIA
Source: github_code
Claim it to get a verified publisher badge, a free copy of our full audit findings, and direct contact for any high-priority issues we find. Or connect your repo for our deepest verification, Live Monitored: read-only, revoke anytime. What we access →
Install from
M8ven verifies MCPs across every public registry — install directly from whichever one you prefer.
LICENSE_CHECK_TOKENSCAFFOLDING_DETERMINISTICTRTLLM_KIMI_K3_STRICT_TOOL_GRAMMARTRTLLM_LAYERWISE_BENCHMARK_BALANCED_IMPLgitlabCommitBUILD_URLTRTLLM_KIMI_PARAM_POLICYTRTLLM_MEDIA_STORAGE_PATHTRTLLM_RESPONSES_API_DISABLE_STOREDISABLE_HARMONY_ADAPTERTRTLLM_KVCACHE_TIME_OUTPUT_PATHNVIDIA_TRITON_SERVER_VERSIONTLLM_LLMAPI_ZMQ_PAIRTRTLLM_BUILD_SOURCE_COMMITTRTLLM_USE_PRECOMPILEDTRTLLM_PRECOMPILED_LOCATIONTRTLLM_ENABLE_MYPYCTRTLLM_WHEEL_STAGING_DIR_TRTLLM_REAL_GITTRTLLM_FETCHCONTENT_CACHENVIDIA_PYTORCH_VERSIONTRTLLM_BUILD_ROOTCCACHE_DIRTRTLLM_FETCHCONTENT_UPDATE_CMDTRTLLM_DG_CACHE_DIRCUDA_HOMECUDA_PATHEXTRA_WHEEL_BUILD_ARGSLD_LIBRARY_PATHOMPI_MCA_coll_ucc_enableTRT_LLM_NO_LIB_INITTRTLLM_PRINT_STACKS_PERIODTLLM_DISABLE_MPITLLM_LLMAPI_ENABLE_NVTXTLLM_NVTX_DEBUGPROMETHEUS_MULTIPROC_DIRCUDA_VISIBLE_DEVICESTLLM_LOG_LEVEL_BY_MODULETLLM_ALLOW_N_GREEDY_DECODINGPROTON_LAUNCH_METADATA_NOSYNCSKIP_COMPUTE_SANITIZERCLAUDE_CODE_DEFAULT_MODELCODEX_DEFAULT_MODELOPEN_SEARCH_DB_BASE_URLOPEN_SEARCH_DB_CREDENTIALS_USROPEN_SEARCH_DB_CREDENTIALS_PSWLLM_MODELS_ROOTTLLM_PROFILING_TIMERTLLM_USE_FINE_GRAINED_SYNCBOLT_LLVM_DIRTRTLLM_ENABLE_PDLDISABLE_LOCALITY_DOMAINSTool 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
1/1 tools missing one or more hints — ask_human (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint). 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 inputs are validated
Only 0/1 tool handlers declare input schemas (0%)
Declare an inputSchema with zod/joi/yup on every tool definition.
Claim the listing to review these findings one by one and send us a correction where you disagree, straight to the team. Claiming also means we tell you when the grade moves, and reach you first if we find anything urgent.
[](https://m8ven.ai/mcp/nvidia/tensorrt-llm)?variant=verified to the badge URL.Vetting this one by hand? Tool Check is an MCP that scores other MCPs. Add it once and ask Claude, ChatGPT, or any MCP client to grade a server, surface CVEs, check the publisher, and suggest safer alternatives — before you install.
https://m8ven.ai/api/mcp/tool-check