HarmonyOS MCP Server alternatives

1

Model Context Protocol Server for Home Assistant

Seamlessly connect Home Assistant to LLMs for natural language smart home control via MCP.

Enables integration between a local Home Assistant instance and language models using the Model Context Protocol (MCP). Facilitates natural language monitoring and control of smart home devices, with robust API support for state management, automation, real-time updates, and system administration. Features secure, token-based access, and supports mobile and HTTP clients. Designed to bridge Home Assistant environments with modern AI-driven automation.

468 41 MCP

2

OPC UA MCP Server

Bridge AI agents with OPC UA industrial systems in real time.

OPC UA MCP Server enables seamless integration of AI agents with OPC UA-enabled industrial automation systems. It provides real-time monitoring, analysis, and control of operational data through a set of standardized tool APIs. Supporting both reading and writing of OPC UA nodes, the server facilitates natural language interaction by exposing tools for AI-driven automation and control workflows.

20 8 MCP

3

FastMCP

The fast, Pythonic way to build MCP servers and clients.

FastMCP is a production-ready framework for building Model Context Protocol (MCP) applications in Python. It streamlines the creation of MCP servers and clients, providing advanced features such as enterprise authentication, composable tools, OpenAPI/FastAPI generation, server proxying, deployment tools, and comprehensive client libraries. Designed for ease of use, it offers both standard protocol support and robust utilities for production deployments.

20,201 1,488 MCP

4

MetaTrader MCP Server

Let AI assistants trade for you using natural language.

MetaTrader MCP Server is a bridge that connects AI assistants such as Claude and ChatGPT to the MetaTrader 5 trading platform via the Model Context Protocol (MCP). It enables users to perform trading actions on MetaTrader 5 through natural language instructions. The system supports real-time data access, full account management, and secure local credential handling, offering both MCP and REST API interfaces.

120 34 MCP

5

Modbus MCP Server

Standardizes Modbus data for seamless AI integration via the Model Context Protocol.

Modbus MCP Server provides an MCP-compliant interface that standardizes and contextualizes Modbus device data for use with AI agents and industrial IoT systems. It supports flexible Modbus connections over TCP, UDP, or serial interfaces and offers a range of Modbus tools for reading and writing registers and coils. With customizable prompts and structured tool definitions, it enables natural language-driven interactions and analysis of Modbus data within AI workflows. The solution is designed to ensure interoperability and easy configuration within MCP-compatible environments.

18 7 MCP

6

MCP Server for Odoo

Connect AI assistants to Odoo ERP systems using the Model Context Protocol.

MCP Server for Odoo enables AI assistants such as Claude to interact seamlessly with Odoo ERP systems via the Model Context Protocol (MCP). It provides endpoints for searching, creating, updating, and deleting Odoo records using natural language while respecting access controls and security. The server supports integration with any Odoo instance, includes smart features like pagination and LLM-optimized output, and offers both demo and production-ready modes.

101 58 MCP

7

TickTick MCP

MCP server for AI-powered TickTick task management integration

TickTick MCP is a Model Context Protocol (MCP) server that enables standardized integration of TickTick's task management features with AI assistants and developer applications. It allows programmatic access to create, update, retrieve, complete, or delete tasks and projects in TickTick via Python. Using this MCP server, AI systems can leverage TickTick's API to help automate and manage user's to-do lists and projects through natural language or other interfaces.

6 6 MCP

8

Homebrew MCP Python Server

Expose Homebrew management as MCP tools for integration with AI clients.

Homebrew MCP Python Server provides an MCP-compliant interface to manage Homebrew packages on macOS via a Python-based server. It enables standardized control of Homebrew commands through the Model Context Protocol, supporting integration with Claude Desktop, Cursor, and other MCP-compatible clients. The server operates via stdio using JSON-RPC 2.0, logs all interactions, and offers a declarative Python implementation. It is designed for seamless tool-chaining, advanced context management, and easy integration into LLM-driven environments.

18 5 MCP

9

Mac Apps Launcher MCP Server

Launch and manage macOS applications via an MCP server.

Mac Apps Launcher MCP Server enables the listing, launching, and management of macOS applications through the Model Context Protocol. Designed to integrate with systems supporting MCP, it provides standardized methods to enumerate app folders, launch apps by name, and open files with specified applications. Configuration details are provided for integration with Claude Config JSON.

16 8 MCP

10

ROS MCP

Natural language interface for controlling ROS robots using the Model Context Protocol

ROS MCP is a server that implements the Model Context Protocol (MCP) to enable natural language control of robots in ROS environments. It facilitates communication with ROS topics, services, and actions, supporting any ROS message type. The system integrates with GUI tools through a socket server and can be used with Claude Desktop for interactive robot management. Key functionalities include topic management, node control, service interaction, and process management for ROS2-powered robots.

26 3 MCP

11

Mifos MCP - Model Context Protocol (MCP)

Enabling AI agents to access and operate on financial data in the Mifos X ecosystem using Model Context Protocol.

Mifos MCP provides a Model Context Protocol (MCP) interface tailored for the Mifos X ecosystem, empowering AI agents to interact with financial data and perform operations within the platform. It offers a Java (Quarkus) implementation, with easy configurability via environment variables and native executable support. Developers can test and debug deployments with the MCP Inspector, and detailed instructions ensure smooth setup and integration. Comprehensive examples demonstrate practical banking and financial automation workflows.

17 12 MCP

12

OPNsense MCP Server

AI-powered firewall and network management for OPNsense

OPNsense MCP Server provides a comprehensive Model Context Protocol server for automating and managing OPNsense firewall configurations. It enables AI assistants, such as Claude, to directly interact with and control networking features including firewall rules, NAT, VLANs, diagnostics, and advanced system operations via API and SSH. The tool supports batch operations, direct command execution, and advanced troubleshooting, enhancing network management automation. It also supports integration for infrastructure as code and toolchains supporting MCP environments.

26 3 MCP

13

ghidraMCP

MCP server enabling LLMs to autonomously reverse engineer binaries via Ghidra.

ghidraMCP acts as a Model Context Protocol (MCP) server, exposing core Ghidra reverse engineering functionality for use by large language models. It enables model clients to perform actions such as decompilation, binary analysis, and automated renaming of methods and data. The system integrates as both a Ghidra plugin and a Python MCP server, supporting interoperability with various MCP-compliant clients. By bridging Ghidra and MCP, it allows autonomous or semi-autonomous analysis of compiled application binaries.

6,483 499 MCP

14

AutoMobile

Powerful tools for mobile automation, test authoring, and device management via MCP.

AutoMobile provides a comprehensive set of tools for mobile automation, focusing on UI testing and development workflow automation. It operates as an MCP Server, enabling a robust interaction loop for model-driven actions and observations. The solution supports Android platforms with features like automated test authoring, multi-device management, and seamless CI test execution. AutoMobile also offers source mapping and deep view hierarchy analysis to enhance code rendering accuracy.

63 8 MCP

15

YAMCP

Unified management and orchestration of Model Context Protocol servers via a local gateway workspace.

YAMCP is a command-line tool that enables organizing and managing multiple MCP (Model Context Protocol) servers as unified workspaces. It allows users to connect to various local or remote MCP servers, group them by functionality or application, and expose them as a single MCP server gateway for AI applications. The tool simplifies monitoring and debugging by centralizing server communication logs and provides workspace management and runtime control. YAMCP facilitates seamless integration with AI applications by providing a consolidated configuration and context management interface.

57 9 MCP

16

GhidrAssistMCP

Bringing Model Context Protocol server connectivity to Ghidra for AI-assisted reverse engineering.

GhidrAssistMCP is a Ghidra extension providing a Model Context Protocol (MCP) server that allows AI assistants and other tools to interact programmatically with Ghidra's reverse engineering platform. It offers a standardized API for querying program data, managing tool interactions, and enabling real-time analysis features. The extension features a configurable UI, built-in logging, and dynamic management of 31 specialized analysis tools.

337 19 MCP

17

mcp-server-apache-airflow

A Model Context Protocol server for integrating Apache Airflow with MCP clients.

mcp-server-apache-airflow provides a Model Context Protocol (MCP) server implementation that allows standardized interaction with Apache Airflow environments. By wrapping Airflow's REST API, it enables MCP clients to manage and orchestrate workflows, DAGs, and runs in a consistent and interoperable manner. This implementation leverages the official Apache Airflow client library to ensure robust compatibility and maintainability. It streamlines the management of Airflow resources by exposing comprehensive endpoint coverage for key workflow operations.

109 28 MCP

18

CyberChef API MCP Server

MCP server enabling LLMs to access CyberChef's powerful data analysis and processing tools.

CyberChef API MCP Server implements the Model Context Protocol (MCP), interfacing with the CyberChef Server API to provide structured tools and resources for LLM/MCP clients. It exposes key CyberChef operations such as executing recipes, batch processing, retrieving operation categories, and utilizing the magic operation for automated data decoding. The server can be configured and managed via standard MCP client workflows and supports context-driven tool invocation for large language models.

29 5 MCP

19

mcp-difyworkflow-server

MCP server for managing and executing multiple Dify workflows on demand.

mcp-difyworkflow-server is an MCP-compliant server tool that facilitates the querying and invocation of custom Dify workflows. It supports dynamic execution of multiple workflows by interfacing with the Dify platform, enabling users to manage workflow credentials and operations efficiently. Configuration allows mapping of workflows to API keys, and commands to list or execute available workflows are provided.

58 14 MCP

20

Jupyter MCP Server

Real-time, context-aware MCP server for managing and interacting with Jupyter Notebooks.

Jupyter MCP Server is an implementation of the Model Context Protocol (MCP) designed to enable AI-driven, real-time management and interaction with Jupyter Notebooks. It offers context-aware capabilities, smart execution features, and multimodal output handling, seamlessly integrating with JupyterLab and supporting multiple notebooks simultaneously. The server is compatible with any MCP client and can work with local or hosted Jupyter deployments.

765 127 MCP

21

MCP Simple OpenAI Assistant

A simple MCP server for managing and interacting with OpenAI assistants.

MCP Simple OpenAI Assistant enables seamless interaction with OpenAI assistants via the Model Context Protocol, providing tools to create, manage, and converse with AI assistants. It features real-time streaming responses, persistent thread management using a local database, and supports integration with client applications like Claude Desktop. The server handles assistant and conversation management, making it easy to create, list, update, and delete assistants and threads.

36 16 MCP

22

OpenStreetMap MCP Server

Enhancing LLMs with geospatial and location-based capabilities via the Model Context Protocol.

OpenStreetMap MCP Server enables large language models to interact with rich geospatial data and location-based services through a standardized protocol. It provides APIs and tools for address geocoding, reverse geocoding, points of interest search, route directions, and neighborhood analysis. The server exposes location-related resources and tools, making it compatible with MCP hosts for seamless LLM integration.

134 30 MCP

23

MCP Server for ZenML

Expose ZenML data and pipeline operations via the Model Context Protocol.

Implements a Model Context Protocol (MCP) server for interfacing with the ZenML API, enabling standardized access to ZenML resources for AI applications. Provides tools for reading data about users, stacks, pipelines, runs, and artifacts, as well as triggering new pipeline runs if templates are available. Includes robust testing, automated quality checks, and supports secure connection from compatible MCP clients. Designed for easy integration with ZenML instances, supporting both local and remote ZenML deployments.

32 10 MCP

24

ORKL MCP Server

A Model Context Protocol server for threat intelligence queries via the ORKL API.

ORKL MCP Server is an implementation of the Model Context Protocol (MCP) designed for seamless integration with MCP-compatible applications. It enables secure querying of the ORKL API, offering tools to fetch and analyze threat reports, threat actors, and intelligence sources. The server streamlines access to detailed cyber threat data for security operations and research.

45 6 MCP

25

Optuna MCP Server

Automated model optimization and analysis via the Model Context Protocol using Optuna.

Optuna MCP Server is an implementation of the Model Context Protocol (MCP) that enables automated hyperparameter optimization and analysis workflows through Optuna. It acts as a server providing standardized tools and endpoints for creating studies, managing trials, and visualizing optimization results. The server facilitates integration with MCP clients and supports deployment via both Python environments and Docker. It streamlines study creation, metric management, and result handling using Optuna’s capabilities.

65 21 MCP

26

Binary Ninja MCP

Seamlessly integrate Binary Ninja with Model Context Protocol clients for enhanced reverse engineering.

Binary Ninja MCP enables real-time integration of Binary Ninja's reverse engineering environment with various Model Context Protocol (MCP) clients. It acts as a server exposing Binary Ninja's capabilities via HTTP endpoints and includes a bridge to connect to MCP clients. The extension supports auto-setup with popular clients such as Cline, Claude Desktop, Roo Code, and others, streamlining the use of AI-assisted workflows. This enhances tasks such as analyzing binaries, switching targets, and leveraging LLM-driven automation in reverse engineering.

112 35 MCP

27

TrackMage MCP Server

Shipment and logistics tracking MCP server with multi-carrier support.

TrackMage MCP Server implements the Model Context Protocol (MCP) to provide shipment tracking, logistics management, and API integration for over 1,600 carriers worldwide. It allows integration with major LLMs, supports resources such as workspaces, shipments, orders, carriers, and tracking statuses, and offers tools to create, update, and monitor shipments and orders. The server supports OAuth-based authentication, flexible configuration via environment variables, and can be deployed locally for customized logistics operations.

1 4 MCP

28

Vibe Check MCP

Plug & play agent oversight tool to keep LLMs aligned, reflective, and safe.

Vibe Check MCP provides a mentor layer over large language model agents to prevent over-engineering and promote optimal, minimal pathways. Leveraging research-backed oversight, it integrates seamlessly as an MCP server with support for STDIO and streamable HTTP transport. The platform enhances agent reliability, improves task success rates, and significantly reduces harmful actions. Designed for easy plug-and-play with MCP-aware clients, it is trusted across multiple MCP platforms and registries.

315 36 MCP

29

omniparser-autogui-mcp

Automated GUI analysis and interaction via the Model Context Protocol.

omniparser-autogui-mcp is an MCP server that leverages OmniParser to analyze on-screen content and perform automated GUI operations. It integrates with clients such as Claude Desktop and can be configured via a detailed environment setup. The tool supports Windows and can delegate OmniParser processing to external devices, offering flexibility for complex contexts. Multiple environment variables allow customization of backend processing, target window selection, and communication methods, including SSE.

58 11 MCP

30

MCP XRPL Server

Unified Model Context Protocol server for seamless AI-driven interaction with the XRP Ledger.

MCP XRPL Server provides a comprehensive Model Context Protocol implementation for the XRP Ledger, enabling AI agents to access blockchain services seamlessly across MainNet, TestNet, and DevNet. It offers an extensive suite of features including account management, token transfers, NFT operations, DIDs, AMM operations, and oracle interactions, all via a standardized MCP interface. The server supports context-driven interactions, making XRPL functionality readily accessible for AI-powered agents.

5 4 MCP

31

Facebook MCP Server

AI-ready tools for managing and moderating Facebook Pages via the Graph API.

Facebook MCP Server is a Model Context Protocol (MCP) server designed to automate and manage interactions on Facebook Pages through the Facebook Graph API. It offers a suite of tools accessible by AI agents or LLMs, enabling actions such as posting, moderating comments, retrieving analytics, and handling negative feedback. The platform is optimized for integration with agent clients like Claude Desktop, providing seamless, natural language-driven operations. By abstracting Facebook operations as callable functions, it empowers users to efficiently control and monitor their social media presence.

64 26 MCP

32

Parallel Task MCP

Launch deep research or task groups for Parallel APIs via the Model Context Protocol.

Parallel Task MCP provides a way to initiate and manage research or task groups through LLM clients using the Model Context Protocol. It enables seamless integration with Parallel’s APIs for flexible experimentation and production development. The tool supports both remote and local deployment, and offers connection capabilities for context-aware AI workflows.

4 3 MCP

33

GrowthBook MCP Server

Interact with GrowthBook from your LLM client via 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 12 MCP

34

Box MCP Server (Remote)

Securely connect AI agents to Box content and Box AI using the Model Context Protocol.

Box MCP Server (Remote) enables AI agent platforms to securely interact with Box data and AI-powered tools via the Model Context Protocol. It supports OAuth-based authentication and provides various capabilities, including user identification, file and folder operations, and access to Box AI tools. The service exposes an endpoint for easy integration by MCP-compatible clients while ensuring data never leaves the Box environment. It offers both admin console and developer console setup options and comprehensive documentation for connection.

0 3 MCP

35

Utopia MCP Server

A simulation MCP Server for orchestrating smart home and lifestyle devices via AI Agents.

Utopia MCP Server simulates a wide range of smart home and lifestyle devices, enabling AI agents to interact with and control them through the Model Context Protocol. It provides endpoints for managing devices like lighting, climate control, audio, security, and household robots, allowing for complex, user-centered tasks to be automated without explicit workflow programming. The server is designed to facilitate the testing and experimentation of AI-driven orchestration among multiple simulated endpoints in household environments.

9 4 MCP

36

Catalysis Hub MCP Server

MCP-compliant server for accessing catalysis research data via GraphQL.

Catalysis Hub MCP Server provides a Model Context Protocol interface to the Catalysis Hub's GraphQL API, enabling seamless programmatic access to catalyst research datasets. It allows users to execute flexible and complex GraphQL queries to retrieve reaction, material, and publication data. The server supports robust error handling, parameterized queries, and is designed for interoperability with AI agents in scientific workflows.

1 3 MCP

37

Zabbix MCP Server

MCP-compatible Zabbix server integration for comprehensive monitoring and automation.

Zabbix MCP Server serves as a comprehensive Model Context Protocol (MCP) server, enabling seamless integration with Zabbix using FastMCP and python-zabbix-utils. It offers complete access to Zabbix API functionalities through MCP-compatible tools, supporting advanced management of hosts, groups, items, triggers, templates, and more. The server is designed for easy installation, configuration, and automation of monitoring through a standardized protocol interface.

98 29 MCP

38

Label Studio MCP Server

Bridge between Model Context Protocol clients and Label Studio for project, task, and prediction management.

Label Studio MCP Server implements a Model Context Protocol (MCP) interface to enable programmatic management of Label Studio projects, tasks, and model predictions. It enables structured interactions with a running Label Studio instance via MCP clients, supports various project and task operations, and integrates the official Label Studio SDK. The tool exposes multiple functions for project management, task handling, and prediction integration, allowing both natural language and structured API calls.

23 8 MCP

39

Oura MCP Server

Enables language models to access Oura sleep, readiness, and resilience data via MCP.

Oura MCP Server implements the Model Context Protocol to provide language models with access to Oura API data. It allows querying of sleep, readiness, and resilience metrics for specified date ranges or for the current day. The server supports integration with tools like Claude for Desktop and handles API authentication and error scenarios gracefully. Designed for seamless access to personal health metrics through standardized protocol endpoints.

34 10 MCP

40

Sonos TypeScript MCP Server

Seamless Sonos control and context integration for AI-driven automation.

Sonos TypeScript MCP Server offers real-time, intelligent control over Sonos audio devices using the Model Context Protocol. It enables AI assistants and coding agents to manage playback, zones, music libraries, alarms, and device groups over local networks via UPnP/SOAP. The server is designed for integration into AI-driven workflows and supports standardized MCP I/O. Real-time event subscriptions and device discovery provide up-to-date context and actionable capabilities for smart home audio environments.

3 1 MCP

41

Freqtrade-MCP

MCP server bridge for Freqtrade automated crypto trading bots

Freqtrade-MCP acts as a Model Context Protocol (MCP) server that connects AI agents to the Freqtrade cryptocurrency trading bot via its REST API. It exposes Freqtrade operations as standardized MCP tools, enabling automated trading workflows through programmatic access. The system ensures AI agents can manage market data, trigger trades, and monitor performance in a uniform context protocol environment. It supports secure and configurable deployment with support for relevant API endpoints.

92 24 MCP

42

esp-mcp

Unified ESP-IDF command interface for LLMs and chatbots

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 11 MCP

43

OP.GG MCP Server

Seamlessly connect OP.GG data with AI agents via the Model Context Protocol.

OP.GG MCP Server is an implementation of the Model Context Protocol (MCP) designed to provide standardized access to OP.GG data for AI agents and platforms. It enables retrieval of a wide range of real-time data from games like League of Legends, Teamfight Tactics, and Valorant through a unified interface. The server supports integration using MCP-compatible clients and simplifies remote data access for model-based applications. Its flexible tools cover champion statistics, match histories, esports schedules, and in-game leaderboards.

46 12 MCP

44

nerve

The Simple Agent Development Kit for LLM-based automation with native MCP support

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.

1,278 109 MCP

45

MCP System Monitor

Real-time system metrics for LLMs via Model Context Protocol

MCP System Monitor exposes real-time system metrics, such as CPU, memory, disk, network, host, and process information, through an interface compatible with the Model Context Protocol (MCP). The tool enables language models to retrieve detailed system data in a standardized way. It supports querying various hardware and OS statistics via structured tools and parameters. Designed with LLM integration in mind, it facilitates context-aware system monitoring for AI-driven applications.

73 17 MCP

46

ScreenPilot

Empower LLMs with full device control through screen automation.

ScreenPilot provides an MCP server interface to enable large language models to interact with and control graphical user interfaces on a device. It offers a comprehensive toolkit for screen capture, mouse control, keyboard input, scrolling, element detection, and action sequencing. The toolkit is suitable for automation, education, and experimentation, allowing AI agents to perform complex operations on a user’s device.

50 8 MCP

47

JVM MCP Server

Lightweight multi-agent protocol server for JVM monitoring and diagnostics.

JVM MCP Server provides a lightweight, zero-dependency server that implements the Multi-Agent Communication Protocol for monitoring and diagnosing Java applications. It leverages native JDK tools to enable powerful AI agent interactions for gathering JVM metrics, analyzing memory and threads, and performing advanced diagnostics without relying on third-party software. The server supports both local and remote Java environments through SSH, ensuring cross-platform compatibility and secure operation.

71 15 MCP

48

investor-agent

Comprehensive Financial Analysis Server for LLMs via Model Context Protocol

investor-agent is an MCP server designed to deliver in-depth financial insights and market analysis to Large Language Models. It leverages real-time data sources and advanced analysis tools to provide information such as market movers, ticker data, options chains, historical prices, financial statements, ownership structure, and sentiment indices. The platform features robust caching and error handling for reliable and efficient data delivery while supporting extensible financial analytics with optional technical indicators and intraday data.

286 51 MCP

49

MCP-timeserver

A simple MCP server providing date and time information to agentic systems.

MCP-timeserver exposes current datetime information via a custom datetime URI scheme compatible with the Model Context Protocol. It allows agentic systems and chat REPLs to access timezone-aware current times and offers a tool to fetch the system's local time. The server is designed to integrate with MCP-based workflows by providing standardized datetime resources.

39 17 MCP

50

tasty-agent

Model Context Protocol server for TastyTrade portfolio monitoring and trading.

tasty-agent is a Model Context Protocol (MCP) server designed to enable LLMs to interface with TastyTrade brokerage accounts. It provides functionality for monitoring portfolios, analyzing market positions, and executing trades through a standardized API. The tool offers automated implied volatility (IV) analysis, supports real-time market data streaming, and features robust rate limiting and error handling to ensure reliability. Authentication is handled via OAuth, and the tool is easily configurable for MCP clients.

47 17 MCP

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