"MLB" matching MCP servers:

Provides machine learning researchers with tools for creating publication-quality scientific visualizations, statistical plots, and 2D data representations. It streamlines the research workflow by enabling AI assistants to generate complex figures from CSV, JSON, or direct data inputs.

An MCP server to autonomously launch, manage, and shutdown local mlx-lm instances on Apple Silicon.（Apple Silicon上でローカルLLM (mlx-lm) を自律的に起動・管理・停止するためのMCPサーバー。）

Bridges Claude Code and Claude Desktop to a locally-running LLM, optimized for MLX LM on Apple Silicon with support for any OpenAI-compatible backend.

AI assistant tools for building high-converting immersive commerce showrooms from an existing e-commerce catalog. Built on Mantis XR's production immersive-commerce platform, used by Fortune 500 brands including New Balance, with deployments spanning the Paris 2024 Olympics, MLB (Chicago Cubs), NHL (St. Louis Blues), and the Premier League (Burnley FC and other clubs).

A Model Context Protocol (MCP) server that provides AI assistants with comprehensive access to Cisco Webex messaging capabilities.

An implementation of the Model Context Protocol for the Opik platform that provides a unified interface for accessing Opik's capabilities, supporting multiple transport mechanisms for flexible integration with IDEs and other environments.

Enables LLM clients to interact with the GNU Debugger (GDB) for comprehensive debugging and binary analysis. It provides a wide range of tools for program execution control, memory examination, stack analysis, and disassembly.

Transforms AI assistants into a full ML engineering environment for training and fine-tuning models across multiple backends (local GPU, Mistral, Together AI, OpenAI) and cloud providers (Lambda Labs, RunPod, SSH-accessible VPS), with dataset management, experiment tracking, cost estimation, and deployment to Ollama/Open WebUI.

Enables management of co-authors for pair and mob programming sessions by automatically appending Co-authored-by trailers to git commit messages. It allows users to add, list, and configure team members as active co-authors using the git-mob CLI.

基于FastMCP和scikit-learn构建的机器学习MCP服务器，提供30个工具覆盖分类、回归、聚类、降维、模型评估和数据预处理。

Query your MLflow experiments in plain English using Claude Desktop. No dashboards, no SQL — just ask.

Secure, encrypted API key management for AI coding agents, enabling search, inspection, and use of credentials with scoped permissions and optional zero-knowledge decryption.

Enables AI coding agents to enforce architecture standards by checking repositories against overridable rules and adapter results over MCP.

Enables Claude to see and interact with any macOS application using natural language commands. Perfect for testing Mac applications, UI automation, and app development with AI assistance.

Enables AI to interact with Microsoft Access (.mdb, .accdb) and SQLite 3 databases, including read-only support for Access 97 databases. Supports executing SQL queries, importing/export data from CSV and Excel files, and storing notes about database files.

Enables AI interaction with Microsoft Access and SQLite databases to perform SQL queries, updates, and data management. It supports importing and exporting data via CSV and Excel files and includes tools for managing human-readable notes about database files.

A standalone Node.js MCP server designed for Memory Bank workflows that enables users to generate project-specific documentation from codebases. It provides tools for creating execution instructions and retrieving structured documentation context, specifically for the iOS stack.

Enables AI assistants like Claude to manage LLM inference by controlling model registry, backends, and VRAM monitoring through the Model Context Protocol.

Gitbub mcp

Execute Python code with persistent state across Claude conversations using a background Jupyter kernel. Supports creating notebooks, managing virtual environments, and maintaining variables/imports between code executions.