The Best punkpeye/awesome-mcp-servers Alternatives in 2026

The MCP Inspector provides a visual testing tool for Model Context Protocol servers.

The repository collects server implementations for the Model Context Protocol.

This Node.js library implements Latent Dirichlet Allocation topic modeling in JavaScript.

onUI lets users annotate web interfaces and export structured context for AI agents.

MOCluGen implements multidimensional cluster generation for MATLAB and Octave.

Koalas implements the pandas DataFrame API on Apache Spark and is deprecated; for Apache Spark 3.2 and above, use PySpark directly.

simple-statistics implements descriptive, regression, and inferential statistics in JavaScript.

CluGen implements an algorithm for generating multidimensional clusters in Julia.

pyclugen implements the multidimensional cluster generation algorithm in Python.

HypothesisTests.jl is a Julia package that implements statistical hypothesis tests.

Python code can be analyzed with pylyzer, a static analyzer and language server.

Checkmate monitors server hardware, uptime, response times, and incidents as a self-hosted open-source tool.

Semantic Kernel helps integrate large language model technology into applications.

dl-translate is a library for translating text between languages using transformer models.

Machine learning pipelines can use whylogs, an open-source library for logging data quality and model performance.

Netron displays neural network, deep learning, and machine learning models across formats such as ONNX, TensorFlow, and PyTorch.

Efficient fine-tuning of quantized language models is the focus of QLoRA, a method documented in this repository.

Kinho’s Neural repository provides an API for deep learning and feedforward neural network models.

Prediction with gradient boosting regression tree models is implemented in leaves, a Go software library.

Gito uses language models to review GitHub code for high impact issues such as vulnerabilities, bugs, and maintainability concerns.

liblinear-java provides a Java version of LIBLINEAR for linear classification and regression models.

Gitingest turns a GitHub repository URL into a text digest suited to language model prompts.

Weights & Biases supports model training, fine tuning, and management from experimentation through production.

DSPy is a framework for programming language models, with algorithms to optimize prompts and model weights.