AI-first security scanner with 76 analyzers, 9,600+ detection rules, and repo poisoning detection for AI/ML, LLM agents, and MCP servers. Scan any GitHub repo with: medusa scan --git user/repo

Chanakya is an advanced, open-source, and self-hostable voice assistant designed for privacy, power, and flexibility. It leverages local AI/ML models to ensure your data stays with you. It Integrates with 1000+ third-party MCP servers including Home Assistant.

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The fastest BM25 scoring engine: 2,300x faster than BM25S. 28K QPS on 8.8M docs. 5 BM25 variants (Robertson, Lucene, ATIRE, BM25L, BM25+). Memory-mapped persistence, BMW pruning, streaming indexing. Built-in HTTP server, MCP tool, HuggingFace Hub integration. Drop-in bm25s replacement for RAG & ML pipelines.

A Model Context Protocol (MCP) server that provides comprehensive access to MLB statistics and baseball data through a FastMCP-based interface.

Local MCP server for MLX Whisper transcription

MCP server for advanced baseball analytics (statcast, fangraphs, baseball reference, mlb stats API) with client demo

Comprehensive, scalable ML inference architecture using Amazon EKS, leveraging Graviton processors for cost-effective CPU-based inference and GPU instances for accelerated inference. Guidance provides a complete end-to-end platform for deploying LLMs with agentic AI capabilities, including RAG and MCP

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A MCP server written in C++ that provides AI models and agents with a SysML v2 model as context.

Production-ready Claude Code configuration for backend/full-stack developers. 9 rules, 8 commands, 5 agents, 13 skills, hooks, and MCP servers for Java/Spring Boot, Python/FastAPI, JS/React, PostgreSQL, MongoDB, Redis, Kafka, Docker, K8s, and AI/ML.

mcp server for mlflow

MCP server providing 28 UX knowledge resources, 23 analysis tools & 4 workflow prompts. Works with Claude, Cursor, Continue.dev, Cline, Zed & any MCP client. WCAG, Nielsen heuristics, design systems, e-commerce, PWA, AI/ML & more.

MCP server combining Qdrant vector search, Neo4j knowledge graphs, and Crawl4AI web intelligence with agentic RAG capabilities. FastMCP 2.0 architecture with enterprise security, monitoring, and Kubernetes deployment. AI/ML engineering powerhouse.

This project takes a number of MCP servers from GitHub locations, packages them together with this repo's GHCR container, and launches them with docker-compose to run as a stack for ML/AI resources.

An MCP server for OpenReview to fetch user papers, specific conference papers (e.g. ICML / ICLR / NeurIPS), parse .pdf files and save them into .json. Can be added to Claude Code to sample ideas from the recent AI/ML/SWE conferences.

MLflow MCP server for ML experiment tracking with advanced querying, run comparison, artifact access, and model registry.

Multi-AI Agent Energy Management System with HILS simulation, Hybrid AI (ML+LLM), and MCP Runtime - Real-time visualization demo for smart grid optimization

This project provides an MCP (Multi-Channel Pipeline) server that acts as a wrapper for the MLB Stats API. It allows you to easily access and process various MLB data points, including schedules, game results, and team information. This server is designed for efficient data retrieval and processing within an MCP framework.

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AI/ML-powered diagnostic engine for SRE Observability on Konflux and OpenShift. It uses the Model Context Protocol (MCP) and 40+ tools to analyze logs, metrics, and traces, enabling automated RCA and predictive analysis.

DriftGuard is an intelligent GitOps configuration drift detection platform that combines real-time monitoring, AI-powered analysis, and automated remediation using Go for core infrastructure and Python for AI/ML components, integrated through MCP for seamless communication.

MLE kit MCP server: Tools for working with files and code locally and with a remote GPU

Solvro internal MCP server

MLX90640 32x24 FIR Array driver with MCP2221 USB to I2C adaptor -- python interface

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AI-powered Rhino/Grasshopper MCP with ML auto-layout

ML Jupyter MCP server with thoughtful execution framework for Claude Code integration

MCP-server exposing ML models for prediction of kpoints distance / kpoints grid for SCF DFT calculations trained on QE data for 3D crystalline inorganic materials