"The most widely used models" matching MCP servers:

Delegates coding tasks to the locally installed Kimi Code CLI, reusing its auth, models, and configuration while adding tools for sessions, replies, model discovery, live turn steering, and history access.

Enables interaction with Google's Gemini AI models including file uploads, conversation management, and batch API processing for large-scale tasks at reduced costs. Supports multiple Gemini models with advanced features like embeddings generation and automated workflow processing.

An MCP server that lets Claude Code consult stronger AI models (o3, Gemini 2.5 Pro, DeepSeek Reasoner) when you need deeper analysis on complex problems.

An MCP server that lets AI models run code in 31 languages, evaluate symbolic math and logic problems, and measure complexity—exposed as 48 tools for execution, session management, translation, optimization, and more.

Enables interaction with Groq models, including compound models, through tools for asking questions with real-time information and code execution.

The most powerful open-source Cairo code generator.

A minimal MCP Server that provides Claude AI models with the 'think' tool capability, enabling better performance on complex reasoning tasks by allowing the model to pause during response generation for additional thinking steps.

MCP Server for the Peacock extension for VS Code (https://peacockcode.dev), coloring your world, one Code editor at a time. The main goal of the project is to show how an MCP server can be used to interact with APIs.

Enables Large Language Models to access and manipulate Autodesk Revit models through a pyRevit-based bridge and the Model Context Protocol.

A Model Context Protocol server for time manipulation tasks, enabling AI models to get the current date/time and calculate duration between timestamps.

MCP server for interacting with fal.ai models and services. Uses the latest streaming MCP support.

Enables integration between SAP HANA Cloud Database and Cursor IDE through the Model Context Protocol, providing standardized interfaces for managing ML models and execution contexts.

Model Context Protocol (MCP) server implementation that enables Claude Desktop to interact with Google's Gemini AI models.

Bridges Large Language Models with Unreal Engine 5 via the Model Context Protocol, enabling AI to control scenes, inject C++ code, and manage assets through UE5's Web Remote Control interface.

A Pyodide server for executing Python code by Large Language Models (LLMs) via the Model Context Protocol (MCP).

An MCP server that queries multiple Ollama models and combines their responses, providing diverse AI perspectives on a single question for more comprehensive answers.

An MCP server that enables LLMs to act as an interpreter for the Relative service, providing tools for navigating, reading, editing, executing, and managing models through natural language.

Primarily to be used as a template for developing MCP servers with FastMCP in Python, PyMCP is somewhat inspired by the official everything MCP server in Typescript.

A Model Context Protocol server that provides programmatic access to the Windows terminal, enabling AI models to interact with the Windows command line through standardized tools for writing commands, reading output, and sending control signals.

A server that enables Claude Desktop to generate images using Google's Gemini AI models through the Model Context Protocol (MCP).