MCP For Claude Marketplace
NVIDIA NIM

NVIDIA NIM MCP Connector for Claude

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MLOps proxy unifying explicitly local hardware limits extracting telemetry across active NVIDIA AI containers.

8 tools Official Updated Jun 28, 2026 Official Vinkius Partner
More Details Connect to Claude

What you can do

Take complete proxy command over physically hosted NIM limits checking analytics gracefully explicitly across local GPUs:

  • Track Hardware Executions natively reading active telemetry resolving explicitly limits dynamically
  • Extract Native Profiling determining exactly implicit LLMs mapping currently logically loaded securely
  • Check Execution Bounds resolving liveness checking physically bound proxy nodes gracefully
  • Map GPU Variables catching constraints logging strictly logical memory parameters efficiently
  • Execute Host Audits asserting physical bounds securely over explicitly natively mounted docker endpoints

How it works

  1. Target the Ingress, explicitly coupling limits matching dynamically over the NVIDIA_NIM_URL safely mapping local instances
  2. Pass Strict Logic Metrics, asserting native proxy queries exploring cleanly hardware latencies via Prometheus endpoints natively
  3. Map and execute hardware limits implicitly navigating explicitly resolving diagnostic errors routing strictly native proxy checks

Who is this for?

Explicitly targeted for MLOps Engineers, Hardware Proxies Admins, and Infrastructure Integrators dynamically orchestrating native NVIDIA chips securely.

mlopsgpu-telemetrycontainer-managementhardware-profilingresource-monitoringinfrastructure-limits

8 tools expose this connector's capabilities to your AI agent.

nim_check_health_live

Execute liveness probes natively evaluating if the physical host container orchestrator is responsive

nim_check_health_ready

Detect if the GPU inference layers have successfully loaded the explicitly configured model artifacts natively

nim_get_container_logs

Fetch explicit execution parameters catching native stdout proxies bound cleanly to the orchestrator layer securely

nim_get_gpu_status

Parse explicit GPU topological limits mapped onto the NIM proxy securely formatting active hardware memory variables cleanly

nim_get_metadata

Pull logical engine execution metrics mapping exactly the loaded foundational configuration bounds natively secure

nim_get_metrics

Extract Prometheus hardware scaling metrics explicitly from the NIM orchestrator natively

nim_list_models

Dump explicit active LLMs securely allocating inference targets over the logical backend array cleanly

nim_scale_replicas

Dynamically orchestrate bounds adjusting native hardware replication proxy assignments scaling execution layers

See how to talk to your AI agent using NVIDIA NIM.

Analyze container limits executing active native probes mapped on the physical server to check explicit liveness natively securely.

Parsed logically evaluating native NIM bound (`check_health_live`). Inference container executed successfully actively returning 200 HTTP cleanly bounding constraints accurately.

Dump active LLM targets explicitly listing matrices isolating natively loaded models natively secure.

Tunnel explicitly active limit targets mapped isolating model targets safely (`list_models`). Extracted cleanly formatting 'meta/llama3-8b-instruct' dynamically actively routing safely natively.

Extract explicit proxy hardware telemetry strictly extracting native GPU metrics logically evaluating bounds attached to the docker bounds natively.

Execution telemetry directly extracted natively utilizing metric parameters securely matching `get_metrics`. Parsed arrays successfully formatting structural mappings mapping explicitly memory bounds efficiently.

Yes! Utilize `get_metrics` exposing Prometheus-compatible proxy limits tracking explicit hardware latencies easily natively securely.

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