DroidMind - Alternatives & Competitors

Ranked by Relevance

• 1
  

  JADX-AI-MCP

  Automated AI-powered APK analysis via Model Context Protocol.

  JADX-AI-MCP is a fully automated server and plugin for integrating Model Context Protocol (MCP) with JADX for the purpose of analyzing Android APKs using large language models such as Claude. It streamlines vulnerability discovery, reverse engineering, and static analysis by leveraging LLMs in conjunction with established tools. The project facilitates real-time code review and efficient collaboration between AI and human analysts.

  637 72 MCP
• 2
  

  LLDB-MCP

  AI-assisted debugging with LLDB via Model Context Protocol integration

  LLDB-MCP enables integration of the LLDB debugger with Claude's Model Context Protocol, allowing for direct control and interaction with LLDB debugging sessions through AI. The tool offers a suite of commands for managing sessions, examining program state, and controlling execution. It facilitates natural language interaction with LLDB, streamlining tasks such as loading executables, setting breakpoints, and analyzing stack traces. Designed for seamless AI-assisted debugging workflows, LLDB-MCP enhances productivity by bridging advanced debugging capabilities with AI-driven interfaces.

  63 7 MCP
• 3
  

  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
• 4
  

  Mobile MCP

  Platform-agnostic server for scalable mobile automation and development.

  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.

  2,436 217 MCP
• 5
  

  HarmonyOS MCP Server

  Enables HarmonyOS device manipulation via the Model Context Protocol.

  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 8 MCP
• 6
  

  PiloTY

  AI Pilot for PTY Operations via the Model Context Protocol

  PiloTY is an MCP server that enables AI agents to control interactive terminals as if they were human users. It provides stateful, context-preserving terminal sessions that support interactive programs, SSH connections, and background process management. The system allows secure integration with AI platforms like Claude Code or Claude Desktop to translate natural language instructions into complex terminal workflows. Designed for extensibility and real-world development scenarios, PiloTY empowers agents to manage remote environments, debug interactively, and automate multi-step operations.

  12 3 MCP
• 7
  

  VideoDB Agent Toolkit

  AI Agent toolkit that exposes VideoDB context to LLMs with MCP support

  VideoDB Agent Toolkit provides tools for exposing VideoDB context to large language models (LLMs) and agents, enabling integration with AI-driven IDEs and chat agents. It automates context generation, metadata management, and discoverability by offering structured context files like llms.txt and llms-full.txt, and standardized access via the Model Context Protocol (MCP). The toolkit ensures synchronization of SDK versions, comprehensive documentation, and best practices for seamless AI-powered workflows.

  43 8 MCP
• 8
  

  GhidraMCP

  AI-powered binary analysis through Model Context Protocol integration with Ghidra

  GhidraMCP is a Ghidra plugin that implements the Model Context Protocol (MCP), enabling seamless connectivity between Ghidra and AI-powered assistants for advanced binary analysis. It allows users to interact with binaries using natural language, automate security and code analysis, and retrieve detailed program insights through a socket-based architecture. The plugin offers functions for exploring binary structures, analyzing memory layouts, and identifying vulnerabilities, providing a flexible and efficient reverse engineering workflow.

  77 13 MCP
• 9
  

  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
• 10
  

  Advanced Unity MCP from Code Maestro

  Control Unity with AI through natural language commands.

  Advanced Unity MCP from Code Maestro enables direct interaction with the Unity Editor using natural language commands powered by AI. It bridges AI assistants like Code Maestro Desktop App, GitHub Copilot, Cursor, and others to the Unity Editor using the Model Context Protocol (MCP). Users can automate Unity tasks such as asset management, scene configuration, building projects, and more without manual intervention. The system supports both direct and relay server connections for flexible integration with various AI clients.

  70 5 MCP
• 11
  

  MCP Server for iOS Simulator

  Enables LLM-powered natural language control of iOS simulators.

  MCP Server for iOS Simulator provides a protocol-compliant bridge between large language models and iOS simulators, allowing seamless control via natural language commands. It offers comprehensive simulator management, application lifecycle handling, advanced UI interaction, and extensive debugging capabilities. Designed for macOS, the server integrates directly with existing MCP ecosystems, supporting development, testing, and automation workflows.

  275 23 MCP
• 12
  

  iOS Simulator MCP Server

  Programmatic control of iOS simulators via the Model Context Protocol

  iOS Simulator MCP Server implements the Model Context Protocol (MCP) to provide a standardized interface for managing iOS simulators. It enables users to list simulators, boot or shut them down, install application bundles, and launch apps by bundle ID. By conforming to the MCP specification, it allows seamless integration with tools that require structured simulator management.

  46 9 MCP
• 13
  

  APISIX Model Context Protocol Server

  Bridge LLMs with APISIX for natural language API management.

  APISIX Model Context Protocol (MCP) Server enables large language models to interact with and manage APISIX resources via natural language commands. It provides a standardized protocol for connecting AI clients like Claude, Cursor, and Copilot to the APISIX Admin API. The server supports a range of operations including CRUD for routes, services, upstreams, plugins, security configurations, and more. Installation is streamlined via Smithery, npm, or direct source setup with customizable environment variables.

  29 9 MCP
• 14
  

  MCP Language Server

  Bridge codebase navigation tools to AI models using MCP-enabled language servers.

  MCP Language Server implements the Model Context Protocol, allowing MCP-enabled clients, such as LLMs, to interact with language servers for codebase navigation. It exposes standard language server features—like go to definition, references, rename, and diagnostics—over MCP for seamless integration with AI tooling. The server supports multiple languages by serving as a proxy to underlying language servers, including gopls, rust-analyzer, and pyright.

  1,256 94 MCP
• 15
  

  Gradle MCP Server

  MCP server for programmatic Gradle project inspection and task execution.

  Gradle MCP Server acts as a Model Context Protocol (MCP) server enabling AI tools to interact with Gradle projects through structured APIs. It allows clients to inspect project details, execute Gradle tasks, and run tests while retrieving detailed results in JSON format. This server supports both information querying and task orchestration, designed to integrate with platforms like VSCode extensions and Claude Desktop. It leverages the Gradle Tooling API to provide comprehensive build and test insights.

  38 4 MCP
• 16
  

  iOS Simulator MCP Server

  A Model Context Protocol server for controlling and automating iOS simulators.

  Provides a Model Context Protocol (MCP) server that enables interactions with iOS simulators. Allows users to obtain simulator information, automate UI interactions such as tapping, typing, swiping, and retrieve accessibility data. Designed for robust integration with automation, testing, and developer workflows via standardized MCP commands.

  1,231 57 MCP
• 17
  

  simctl-mcp

  A Model Context Protocol server for automating iOS Simulator control.

  simctl-mcp implements a Model Context Protocol (MCP) server that allows for remote and automated management of iOS Simulator devices and applications. It supports both STDIO and HTTP server modes for flexible integration into development workflows. The tool provides functionality for device management, app lifecycle operations, permission handling, system features, certificate management, and media content manipulation. It is designed to facilitate AI-driven or prompt-based interactions with the iOS Simulator environment.

  13 4 MCP
• 18
  

  just-mcp

  A production-ready MCP server for Justfile command integration with LLMs.

  just-mcp delivers an MCP (Model Context Protocol) server that enables seamless integration between AI assistants and the Just command runner. It provides functionality for AI models to discover, execute, and introspect Justfile recipes using a standardized protocol. The system emphasizes context abstraction, safer command execution compared to raw bash, and user-friendly interfaces for both agents and humans. Built-in safety and validation features further enhance reliability and security.

  31 5 MCP
• 19
  

  Claude Debugs For You

  Enable LLMs like Claude to interactively debug code via a VS Code extension and MCP server.

  Claude Debugs For You provides an MCP-compliant server and Visual Studio Code extension that allow large language models, such as Claude, to perform interactive debugging and code evaluation. It supports language-agnostic debugging through the VS Code debugger and integrates easily with various clients, including Claude Desktop and Continue. The tool provides both stdio and SSE server support for flexible connectivity. Users can quickly install, configure, and leverage LLM-driven debugging workflows across multiple environments.

  463 44 MCP
• 20
  

  ServeMyAPI

  Securely manage and serve API keys via macOS Keychain with an MCP interface

  ServeMyAPI is a personal Model Context Protocol (MCP) server designed for macOS, enabling secure storage and access of API keys via the macOS Keychain. It provides both CLI and server interfaces for managing keys and supports stdio and HTTP/SSE transports for seamless integration with various clients. The tool allows natural language interaction and centralized, cross-project key management, aiming to improve developer workflows and AI assistant collaborations. ServeMyAPI eliminates common issues with environment files by offering secure, visible, and AI-accessible key storage.

  23 5 MCP
• 21
  

  Armor Crypto MCP

  Unified crypto API for integrating AI agents with multi-chain blockchain tools

  Armor Crypto MCP provides a centralized solution for integrating AI agents with the crypto ecosystem, supporting wallet management, swaps, staking, and a variety of trading operations across several blockchains. It streamlines access to Solana in its alpha version and aims to support a wide range of blockchains including Ethereum, Avalanche, and Bitcoin. The platform enables agents to perform complex crypto operations using standardized interfaces and seamless configuration with agentic frameworks such as Claude Desktop, Cline, and n8n. Designed for ease of integration and multi-chain compatibility, it offers advanced features like DCA, stop loss, and cross-chain transactions.

  184 23 MCP
• 22
  

  mcpxcodebuild

  Build and test iOS Xcode projects via the Model Context Protocol server.

  mcpxcodebuild is a Model Context Protocol server that enables building and testing iOS Xcode workspace and project files. It facilitates seamless integration with Visual Studio Code extensions such as Cline or Roo Code, allowing remote build and test operations via standardized MCP tools. The tool can be installed using pip or uv and is easily configurable for use with platforms like Claude.app.

  76 9 MCP
• 23
  

  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
• 24
  

  cloudflare/mcp-server-cloudflare

  Connect Cloudflare services to Model Context Protocol (MCP) clients for AI-powered management.

  Cloudflare MCP Server enables integration between Cloudflare's suite of services and clients using the Model Context Protocol (MCP). It provides multiple specialized servers that allow AI models to access, analyze, and manage configurations, logs, analytics, and other features across Cloudflare's platform. Users can leverage natural language interfaces in compatible MCP clients to read data, gain insights, and perform automated actions on their Cloudflare accounts. This project aims to streamline the orchestration of security, development, monitoring, and infrastructure tasks through standardized MCP connections.

  2,919 251 MCP
• 25
  

  mcp-shell

  A secure Model Context Protocol (MCP) server for AI-driven shell command execution.

  mcp-shell enables AI assistants and MCP clients to securely execute shell commands via the standardized Model Context Protocol. Built in Go and leveraging the official MCP SDK, it facilitates structured, auditable, and context-aware access to shell environments. The server emphasizes security through Docker isolation, command validation, resource limits, and comprehensive audit logging.

  44 8 MCP
• 26
  

  awslabs/mcp

  Specialized MCP servers for seamless AWS integration in AI and development environments.

  AWS MCP Servers is a suite of specialized servers implementing the open Model Context Protocol (MCP) to bridge large language model (LLM) applications with AWS services, tools, and data sources. It provides a standardized way for AI assistants, IDEs, and developer tools to access up-to-date AWS documentation, perform cloud operations, and automate workflows with context-aware intelligence. Featuring a broad catalog of domain-specific servers, quick installation for popular platforms, and both local and remote deployment options, it enhances cloud-native development, infrastructure management, and workflow automation for AI-driven tools. The project includes Docker, Lambda, and direct integration instructions for environments such as Amazon Q CLI, Cursor, Windsurf, Kiro, and VS Code.

  6,220 829 MCP
• 27
  

  k8s-mcp-server

  Securely enable Claude to run Kubernetes CLI tools via Anthropic's Model Context Protocol.

  K8s MCP Server provides a Docker-based implementation of Anthropic's Model Context Protocol (MCP), allowing Claude to securely execute Kubernetes CLI tools such as kubectl, helm, istioctl, and argocd within a containerized environment. It integrates with Claude Desktop so users can interact with their Kubernetes clusters using natural language. The server emphasizes security by operating as a non-root user and offering strict command validation, while also supporting major cloud providers like AWS, Google Cloud, and Azure. Easy configuration and support for various Unix tools further enhance its capabilities.

  166 31 MCP
• 28
  

  Portainer MCP

  Connect AI assistants securely to Portainer environments using the Model Context Protocol.

  Portainer MCP is an implementation of the Model Context Protocol (MCP) designed for seamless integration between AI assistants and Portainer-managed container environments. It enables management of Portainer resources and allows execution of Docker and Kubernetes commands through AI interfaces in a secure, standardized manner. The tool provides direct protocol-based access to environment data, facilitating automation and operational insights for container infrastructures.

  81 16 MCP
• 29
  

  MCP Shell Server

  A secure, configurable shell command execution server implementing the Model Context Protocol.

  MCP Shell Server provides secure remote execution of whitelisted shell commands via the Model Context Protocol (MCP). It supports standard input, command output retrieval, and enforces strict safety checks on command operations. The tool allows configuration of allowed commands and execution timeouts, and can be integrated with platforms such as Claude.app and Smithery. With robust security assessments and flexible deployment methods, it facilitates controlled shell access for AI agents.

  153 42 MCP
• 30
  

  Desktop Commander MCP

  AI-powered local tool for managing files, processes, and terminals using Model Context Protocol.

  Desktop Commander MCP enables users to search, manage files, run terminal commands, and automate development tasks through Model Context Protocol (MCP). It offers interactive process management, in-memory code execution, advanced file operations, pattern-based file editing, and comprehensive audit logging. Built on top of MCP Filesystem Server, it integrates multiple developer tools within a conversational interface, supporting enhanced process control and efficient workflow automation.

  4,883 541 MCP
• 31
  

  Druid MCP Server

  Comprehensive Model Context Protocol server for advanced Apache Druid management and analytics

  Druid MCP Server provides a fully MCP-compliant interface for managing, analyzing, and interacting with Apache Druid clusters. Leveraging tools, resources, and AI-assisted prompts, it enables LLM clients and AI agents to perform operations such as time series analysis, statistical exploration, and data management through standardized protocols. The server is built with a feature-based architecture, offers real-time communication via multiple transports, and includes automatic discovery and registration of MCP components.

  9 4 MCP
• 32
  

  blender-mcp

  Seamless integration between Blender and Claude AI using the Model Context Protocol.

  BlenderMCP enables direct interaction between Blender and Claude AI by leveraging the Model Context Protocol (MCP). It allows users to create, manipulate, and inspect 3D scenes in Blender through natural language commands sent to Claude, which communicates with Blender via a custom socket server and an addon. The solution features two-way communication, object and material manipulation, code execution within Blender, and easy integration with tools like Cursor, Visual Studio Code, and Claude for Desktop.

  13,092 1,232 MCP
• 33
  

  mcp

  Universal remote MCP server connecting AI clients to productivity tools.

  WayStation MCP acts as a remote Model Context Protocol (MCP) server, enabling seamless integration between AI clients like Claude or Cursor and a wide range of productivity applications, such as Notion, Monday, Airtable, Jira, and more. It supports multiple secure connection transports and offers both general and user-specific preauthenticated endpoints. The platform emphasizes ease of integration, OAuth2-based authentication, and broad app compatibility. Users can manage their integrations through a user dashboard, simplifying complex workflow automations for AI-powered productivity.

  27 6 MCP
• 34
  

  codelogic-mcp-server

  Leverage CodeLogic’s dependency data for AI-powered impact analysis.

  Codelogic-mcp-server implements an MCP (Model Context Protocol) server, enabling integration of CodeLogic's software dependency data into AI programming assistants. It provides tools for code and database impact assessments by interacting with a CodeLogic server, enhancing context-aware code and database analysis. The server supports integration with popular IDEs, including VS Code and Claude Desktop, using Astral UV/UVX for communication. This solution is designed to bring actionable dependency insights to AI coding workflows.

  31 14 MCP
• 35
  

  mcpmcp-server

  Seamlessly discover, set up, and integrate MCP servers with AI clients.

  mcpmcp-server enables users to discover, configure, and connect MCP servers with preferred clients, optimizing AI integration into daily workflows. It supports streamlined setup via JSON configuration, ensuring compatibility with various platforms such as Claude Desktop on macOS. The project simplifies the connection process between AI clients and remote Model Context Protocol servers. Users are directed to an associated homepage for further platform-specific guidance.

  17 6 MCP
• 36
  

  mcp-server-docker

  Natural language management of Docker containers via Model Context Protocol.

  mcp-server-docker enables users to manage Docker containers using natural language instructions through the Model Context Protocol. It allows composing, introspecting, and debugging containers, as well as managing persistent Docker volumes. The tool is suitable for server administrators, tinkerers, and AI enthusiasts looking to leverage LLM capabilities for Docker management. Integration with tools like Claude Desktop and Docker ensures flexible deployment and easy connectivity to Docker engines.

  648 86 MCP
• 37
  

  Discord MCP

  Seamlessly integrate AI and Discord through the Model Context Protocol.

  Discord MCP is a server implementing the Model Context Protocol (MCP) for the Discord API using JDA, enabling AI assistants and applications to interact with Discord servers. It facilitates the management of channels, messages, and server information, supporting automation and integration with MCP-compatible clients such as Claude Desktop. Installation is supported via Docker and manual builds with Maven, providing flexibility for deployment. It enables enhanced automation and context management for Discord bots via the standardized MCP interface.

  116 23 MCP
• 38
  

  YDB MCP

  MCP server for AI-powered natural language database operations on YDB.

  YDB MCP acts as a Model Context Protocol server enabling YDB databases to be accessed via any LLM supporting MCP. It allows AI-driven and natural language interaction with YDB instances by bridging database operations with language model interfaces. Flexible deployment through uvx, pipx, or pip is supported, along with multiple authentication methods. The integration empowers users to manage YDB databases conversationally through standardized protocols.

  24 7 MCP
• 39
  

  PythonAnywhere Model Context Protocol Server

  Bridge AI-powered tools with PythonAnywhere for secure, programmatic environment management.

  PythonAnywhere Model Context Protocol Server implements the MCP, allowing AI clients and automation tools to securely manage files, web apps, and scheduled tasks within a PythonAnywhere account. It offers a standardized interface to perform core operations like editing files, deploying or managing web apps, and handling scheduled jobs with fine-grained access control. Designed for integration with tools such as Claude Desktop, GitHub Copilot, and Cursor, it ensures auditability of actions and supports multiple installation workflows.

  8 4 MCP
• 40
  

  Kubectl MCP Server

  Natural language Kubernetes management for AI assistants using the Model Context Protocol.

  Kubectl MCP Server enables AI assistants such as Claude and Cursor to interact with Kubernetes clusters using natural language through the Model Context Protocol (MCP). It supports a wide range of Kubernetes operations including resource management, Helm integration, monitoring, diagnostics, and advanced security features. The server is designed to handle context-aware commands, maintain session memory, and provide intelligent command construction and explanations. Integration with multiple AI assistants and flexible transport protocols are supported for a seamless user experience.

  734 137 MCP
• 41
  

  MCP Server for Iaptic

  A Model Context Protocol server for accessing and managing Iaptic data with AI agents.

  MCP Server for Iaptic implements the Model Context Protocol to enable AI models, such as Claude, to securely and efficiently interact with Iaptic's customer, purchase, transaction, and statistics data. The server provides a standardized interface and command set for querying and managing information related to customers, purchases, transactions, events, and application management. Designed for integration with Claude Desktop and similar AI clients, it offers both automated and manual installation options.

  5 7 MCP
• 42
  

  Firebase MCP

  Connect AI assistants with Firebase services seamlessly using MCP.

  Firebase MCP enables AI assistants to interact directly with Firebase services such as Firestore, Storage, and Authentication. It provides a server that integrates with established MCP clients, allowing tools to perform database operations, manage files, and handle user authentication within Firebase environments. The solution offers flexible setup options, including npx-based and local installations, and supports both stdio and HTTP transports for integration. Environment variables configure specific Firebase credentials and server behavior to ensure secure and reliable connections.

  229 42 MCP
• 43
  

  codemcp

  Turn Claude into a hands-on pair programming assistant with direct code editing capabilities.

  codemcp integrates Claude with a user's local codebase, enabling the AI to directly implement features, fix bugs, refactor code, and run tests by making live edits to files. It emphasizes safety and auditability by forbidding unrestricted shell access and versioning all LLM-driven changes using Git. The tool is IDE agnostic and designed for use with Claude Pro, focusing on cost-efficient, high-autonomy agent workflows. Command usage is user-approved via configuration, enhancing security while allowing automated operations.

  1,572 135 MCP
• 44
  

  MySQL MCP Server

  Secure MCP interface for MySQL database interaction with AI applications.

  MySQL MCP Server implements the Model Context Protocol (MCP) to provide a secure bridge between AI applications and MySQL databases. It enables structured exploration and controlled queries through a standardized communication interface, ensuring safe and logged access to data. Designed for integration with tools such as Claude Desktop and Visual Studio Code, MySQL MCP Server allows users to list, read, and query MySQL tables securely. Environment variable-based configuration and comprehensive logging enhance its reliability for sensitive database interactions.

  980 203 MCP
• 45
  

  mcp-server-commands

  Expose safe shell command execution as an MCP server for LLM tooling.

  mcp-server-commands exposes a server that provides a 'run_command' tool for local or remote large language models (LLMs) via the Model Context Protocol (MCP). It enables LLMs to execute shell commands, retrieve STDOUT and STDERR, and optionally pass data through stdin. The tool integrates with apps like Claude Desktop and Groq Desktop, and can be run via npm or as a local build, with security in mind.

  207 32 MCP
• 46
  

  mcp-server-js

  Enable secure, AI-driven process automation and code execution on YepCode via Model Context Protocol.

  YepCode MCP Server acts as a Model Context Protocol (MCP) server that facilitates seamless communication between AI platforms and YepCode’s workflow automation infrastructure. It allows AI assistants and clients to execute code, manage environment variables, and interact with storage through standardized tools. The server can expose YepCode processes directly as MCP tools and supports both hosted and local installations via NPX or Docker. Enterprise-grade security and real-time interaction make it suitable for integrating advanced automation into AI-powered environments.

  31 13 MCP
• 47
  

  CLI MCP Server

  A secure MCP server for controlled command-line operations.

  CLI MCP Server provides a secure implementation of the Model Context Protocol (MCP) for executing command-line operations with robust security features. It enables controlled CLI access by enforcing command and flag whitelisting, path validation, and shell operator restrictions, making it suitable for integration with large language model applications. Designed for configurable deployment, it supports detailed error reporting, execution timeouts, and strict working directory controls.

  155 28 MCP
• 48
  

  ACP to MCP Adapter

  Bridge ACP Agents with MCP Applications Seamlessly

  ACP to MCP Adapter is a lightweight standalone server that connects Agent Communication Protocol (ACP) agents to Model Context Protocol (MCP) applications. It enables MCP applications, such as Claude Desktop, to discover and interact with ACP agents as resources by exposing ACP agent runs as MCP tools. The adapter facilitates interoperability with minimal configuration, though it currently treats ACP agents as tools rather than peers and supports only basic content translation.

  30 5 MCP
• 49
  

  dbt MCP Server

  Bridge dbt projects and AI agents with rich project context.

  dbt MCP Server provides an implementation of the Model Context Protocol for dbt projects, enabling seamless integration between dbt and AI agents. It allows agents to access and understand the context of dbt Core, dbt Fusion, and dbt Platform projects. The tool supports connection to external AI products and offers resources for building custom agents. Documentation and examples are provided to facilitate adoption and integration.

  420 90 MCP
• 50
  

  tfmcp

  A CLI tool for managing Terraform via the Model Context Protocol (MCP).

  tfmcp is a command-line tool that enables interaction with Terraform using the Model Context Protocol (MCP). It allows language models and AI assistants to analyze, manage, and operate Terraform environments programmatically, supporting operations such as configuration analysis, state management, and secure application of changes. The tool offers enterprise-grade security, audit logging, and flexible deployment options including Docker support. Designed for efficiency and seamless integration, tfmcp simplifies infrastructure automation workflows for both developers and AI systems.

  345 23 MCP