MCP servers

advanced-mcp-servers

Ja17841

Advanced MCP servers for data analysis, visualization, and machine learning

mcp-servers

aeon-seraph

MCP servers provide a framework for efficient communication between models in machine learning. They facilitate context sharing, improving collaboration and performance across various applications. Key features include scalability, flexibility, and support for multiple protocols.

grobid-MCP-Server

JackKuo666

A MCP Server of Grobid: machine learning software for extracting information from scholarly documents

mcportfolio

ebrandler

McPortfolio: A Model Context Protocol server providing 9 specialized tools for LLM-driven portfolio optimization using natural language, covering mean-variance to machine learning approaches.

mcp-a2a

aitho-corso-DMI-agenti-ai

Example code for the 2025 course Agenti Intelligenti e Machine Learning, focusing on MCP and A2A

github-mcp-tool

jalaj-pandey

A dedicated MCP (Model Context Protocol) tool for github, The MCP (Model Context Protocol) Tool for GitHub is a Python-based solution designed to help manage and track machine learning model context directly within GitHub repositories.

MLCBakery

jettyio

Provides a bridge between AI assistants and machine learning datasets, enabling search, validation, and retrieval of ML Croissant metadata from the MLCBakery system without switching contexts.

sklearn-mcp

adrinjalali

An MCP server giving guidelines on statistical machine learning workflows.

ai-publications

jonigl

A collection of articles and guides on AI, Generative AI, and Machine Learning, featuring practical examples in Python, TypeScript, and MCP server development.

Hugging Face Spaces

xiyuefox

Connects Claude Desktop to Hugging Face Spaces by automatically discovering and exposing Gradio endpoints as tools, enabling seamless interaction with machine learning models for text, image, and audio processing.

MCP-Server

pulipulichen

MCP-Server is a robust server designed for seamless communication using the Model Context Protocol. It features real-time data processing, efficient model management, and user-friendly APIs, making it ideal for developers looking to integrate advanced machine learning models into their applications.

mcp-server-scikit-learn

shibuiwilliam

The mcp-server-scikit-learn is a Model Context Protocol server that provides a standardized interface for Scikit-learn models. It features model training, evaluation, data preprocessing, persistence, and hyperparameter tuning, streamlining the machine learning workflow.

tensorpool-mcp

tensorpool

TensorPool MCP Server for managing and deploying machine learning models.

mcp_server_demo

xiehust

MCP Server Demo is a showcase for the Model Context Protocol on Amazon Bedrock, enabling seamless integration and deployment of machine learning models. It features easy setup, scalability, and efficient model management, making it ideal for developers seeking to leverage advanced AI capabilities.

Replicate

deepfates

Search, run and manage machine learning models on Replicate through a simple tool-based interface. Browse models, create predictions, track their status, and handle generated images.

StatSource Analytics

jamie7893

Integrates with statistical and machine learning tools to perform data analysis, calculations, and time-series forecasting on user data from various sources including CSV files and databases.

Replicate

gerred

Integrates with Replicate API to provide seamless access to diverse machine learning models for inference and result retrieval across various domains.

Spring AI

cpage-pivotal

Integrates Spring AI components with AI models to enable natural language processing, machine learning, and data analysis within Spring-based applications.

HANA Cloud ML Bridge

HatriGt

Bridges SAP HANA Cloud databases with machine learning operations through a three-layer architecture that enables model management, execution contexts, and standardized communication for both inference and training workflows.