NM Hard Tools
OfficialClick on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@NM Hard Toolsrun lm-eval for llama-3-8b on the mmlu benchmark"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
NM Hard Tools
Deployable, stateless MCP services for rigorous inference evaluation and benchmarking. This repository owns the service implementations, container images, and Helm charts.
Included services:
a profiled
lm-evaluation-harnesscontroller and worker;a bounded MCP adapter for the vLLM forward-pass benchmark service;
deployment charts for lm-eval, forward-pass, Nyann, and AgentX.
Development
uv run --extra test pytest
uv run --extra test ruff format --check src tests
uv run --extra test ruff check src testsRepository governance is stored in gov/ and validated with
govctl:
cargo install govctl --version 0.19.1 --locked
govctl status
govctl checkThe lm-eval image must be built with an explicit Python base image:
podman build -f Dockerfile.lm-eval-service \
--build-arg BASE_IMAGE=python:3.12-slim -t inference-hard-lm-eval:dev .Related MCP server: ArmBench MCP Server
License
Licensed under the Apache License, Version 2.0. See LICENSE.
This server cannot be installed
Maintenance
Resources
Unclaimed servers have limited discoverability.
Looking for Admin?
If you are the server author, to access and configure the admin panel.
Related MCP Servers
AlicenseNot gradedqualityDmaintenanceEnables running LLM evaluations, experiments, and custom evaluators through a standardized MCP interface.16Apache 2.0- AlicenseNot gradedqualityBmaintenanceEnables benchmarking and inference of LLMs on Arm64 cloud instances with KleidiAI optimizations, providing an MCP-compatible API for serving results.1MIT

Local AI MCPofficial
AlicenseAqualityAmaintenanceUnified MCP server for managing local model runtimes (Ollama, LM Studio, etc.), enabling provider-agnostic discovery, lifecycle management, hardware-fit checks, and delegated inference.16224Creative Commons Attribution Non Commercial No Derivatives 4.0 International- FlicenseNot gradedqualityCmaintenanceMCP-based code evaluation harness — sandboxed execution + LLM quality scoring.
Related MCP Connectors
MCP server providing access to the Scorecard API to evaluate and optimize LLM systems.
Hosted MCP server for LLM cost estimation, model comparison, and budget-aware routing.
Benchmark-first release surface with a read-only MCP endpoint and operator CLI.
Latest Blog Posts
- Who's Calling? MCP Hosts Are an Identity Blind Spot (And the Spec Knows It)By Om-Shree-0709 on .mcpAgent IdentityOAuth 2.1
- Your AI Chatbot Just Exposed Your CEO's Salary to an InternBy Om-Shree-0709 on .Agent IdentityMCP SecurityOAuth Delegation
- Why MCP Servers Need Execution Sandboxing (And Why Your Current Stack Isn't Enough)By Om-Shree-0709 on .Agentic AiPrompt InjectionWebAssembly
MCP directory API
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/neuralmagic/nm-hard-tools'
If you have feedback or need assistance with the MCP directory API, please join our Discord server