MCPs tagged with # llm-integration

Unity MCP serves as an AI-powered assistant for game developers, acting as a bridge between MCP clients and the Unity engine. It enables natural chat-based interactions to perform various development tasks using large language models from multiple providers. The system offers tools for code assistance, debugging, and flexible deployment options, supporting both local and remote workflows. Its extensibility allows for the creation of custom MCP tools to enhance developer productivity in the Unity environment.

• ⭐ 510
• MCP
• IvanMurzak/Unity-MCP

mcp-get is a CLI tool designed to help users discover, install, and manage Model Context Protocol (MCP) servers. It enables seamless integration of Large Language Models (LLMs) with various external data sources and tools by utilizing a standardized protocol. The tool provides access to a curated registry of MCP servers and supports installation and management across multiple programming languages and environments. Although now archived, mcp-get simplifies environment variable management, package versioning, and server updates to enhance the LLM ecosystem.

• ⭐ 497
• MCP
• michaellatman/mcp-get

Linear MCP Server acts as a bridge between the Linear API and the Model Context Protocol, enabling large language models to interact programmatically with Linear's issue tracking system. It provides tools to create, update, search, and manage issues, as well as to add comments and retrieve user or team-focused issue data. Designed to integrate with platforms such as Claude Desktop, it supports seamless issue management workflows through MCP-compatible commands and resource endpoints.

• ⭐ 333
• MCP
• jerhadf/linear-mcp-server

Nerve provides a platform for building, running, evaluating, and orchestrating large language model (LLM) agents using declarative YAML configurations. It supports both client and server roles for the Model Context Protocol (MCP), allowing seamless integration, team collaboration, and advanced agent orchestration. With extensible tool support, benchmarking, and LLM-agnostic handling via LiteLLM, it enables programmable and reproducible workflows for technical users.

• ⭐ 1,278
• MCP
• evilsocket/nerve

ETF Flow MCP provides an MCP-compliant server that supplies historical and up-to-date ETF flow data for cryptocurrencies like BTC and ETH. It enables AI agents or applications to fetch, query, and present ETF data in structured formats, such as markdown tables with pivoted columns and summarized totals. The server integrates with platforms like Claude Desktop for seamless, user-friendly interactions using natural language prompts.

• ⭐ 6
• MCP
• kukapay/etf-flow-mcp

Crypto RSS MCP serves as a Model Context Protocol (MCP) server that aggregates real-time cryptocurrency news from a variety of RSS feeds. It offers features such as keyword filtering, OPML feed import, and output formatting designed for ingestion by AI agents. The tool enables seamless integration with Large Language Models through custom prompts for summarizing news content and detecting market trends, aiding decision making in volatile crypto markets.

• ⭐ 8
• MCP
• kukapay/crypto-rss-mcp

NWC MCP Server enables users to connect Bitcoin Lightning wallets to language models through Nostr Wallet Connect (NWC) and NIP-47 protocols. It leverages the official Model Context Protocol (MCP) TypeScript SDK and supports various transport modes such as STDIO, HTTP streamable, and SSE. The solution can be integrated with platforms like N8N, Claude Desktop, Goose, and Cline, and allows authentication and context management using NWC connection secrets. Although now deprecated in favor of Alby MCP, it provides tooling for leveraging Lightning payment workflows within AI agent interactions.

• ⭐ 12
• MCP
• getAlby/nwc-mcp-server

WSB Analyst MCP Server provides real-time access to WallStreetBets data, enabling detailed analysis of posts, comments, and shared resources. It integrates seamlessly with Claude Desktop and other MCP-compatible clients, allowing AI models to leverage structured Reddit data. Users can gather insights through customizable prompt templates and benefit from features like progress reporting and advanced filtering. The server ensures smooth context management between Reddit data streams and language models.

• ⭐ 19
• MCP
• ferdousbhai/wsb-analyst-mcp

MarkItDown is a lightweight Python utility for converting a wide range of file types—including PDF, Office documents, images, audio, websites, and more—into structured Markdown optimized for language models and text analysis tools. It includes an implementation of the Model Context Protocol (MCP) to facilitate integration with LLM applications, such as Claude Desktop. MarkItDown supports context-aware document conversions, prioritizing preservation of hierarchy and meaningful content, and can be used via CLI or as a library.

• ⭐ 82,918
• MCP
• microsoft/markitdown

esp-mcp provides a Model Context Protocol (MCP) compliant server to consolidate and simplify ESP-IDF and related project command execution. It enables large language models and chatbots to perform ESP-IDF project builds, flash firmware, and manage ESP devices through standardized protocol interactions. The project is proof-of-concept with support for basic build and flash commands and aims to expand towards comprehensive embedded device management via LLM interfaces.

• ⭐ 114
• MCP
• horw/esp-mcp

GrowthBook MCP Server enables seamless integration between GrowthBook and LLM clients by implementing the Model Context Protocol. It allows users to view experiment details, add feature flags, and manage GrowthBook configurations directly from AI applications. The server is configurable via environment variables and leverages GrowthBook's API for functionality. This integration streamlines experimentation and feature management workflows in AI tools.

• ⭐ 15
• MCP
• growthbook/growthbook-mcp

HarmonyOS MCP Server provides an MCP-compatible server that allows programmatic control of HarmonyOS devices. It integrates with tools and frameworks such as OpenAI's openai-agents SDK and LangGraph to facilitate LLM-powered automation workflows. The server supports execution through standard interfaces and can be used with agent platforms to process natural language instructions for device actions. Its design allows for seamless interaction with HarmonyOS systems using the Model Context Protocol.

• ⭐ 25
• MCP
• XixianLiang/HarmonyOS-mcp-server

k6-mcp-server implements the Model Context Protocol, allowing users to execute and manage k6 load testing scripts through standardized MCP clients. It provides a simple API, supports custom test durations and virtual users, and offers real-time execution output. The system is configurable via environment variables and can be easily integrated into existing MCP-compatible tooling.

• ⭐ 17
• MCP
• QAInsights/k6-mcp-server

Mobile MCP is a Model Context Protocol (MCP) server that enables scalable automation and interaction with native iOS and Android devices through a unified, platform-independent API. Designed to power agents and LLMs, it supports both simulator/emulator and real device environments, allowing access via structured accessibility snapshots or coordinate-based actions. The server facilitates multi-step user journeys, data extraction, and agent-based frameworks without requiring device-specific expertise.

• ⭐ 2,436
• MCP
• mobile-next/mobile-mcp

MCP OpenAPI Schema Explorer is an MCP-compatible server that provides token-efficient, read-only access to OpenAPI (v3.0) and Swagger (v2.0) specifications through MCP Resources. It enables MCP clients such as Claude Desktop and others to interactively explore large API schemas without loading the entire specification into an LLM’s context. The tool automatically converts Swagger specs to OpenAPI v3.0, supports both local files and remote URLs, and is optimized for integration with a broad range of MCP clients.

• ⭐ 57
• MCP
• kadykov/mcp-openapi-schema-explorer