Mobile MCP - Alternatives & Competitors

Ranked by Relevance

• 1
  

  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
• 2
  

  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
• 3
  

  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
• 4
  

  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
• 5
  

  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
• 6
  

  Xcode MCP Server

  Comprehensive Xcode integration server for AI assistants using the Model Context Protocol.

  Xcode MCP Server provides an MCP-compliant interface for AI agents to interact with Xcode projects on macOS. It supports project management, simulator control, CocoaPods and Swift Package Manager integration, and advanced file and build operations. Enhanced error handling and multi-project support enable seamless automation and context management for complex Xcode workflows.

  330 21 MCP
• 7
  

  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
• 8
  

  Pica MCP Server

  A Model Context Protocol (MCP) server for seamless integration with 100+ platforms via Pica.

  Pica MCP Server provides a standardized Model Context Protocol (MCP) interface for interaction with a wide range of third-party services through Pica. It enables direct platform integrations, action execution, and intelligent intent detection while prioritizing secure environment variable management. The server also offers features such as code generation, form and data handling, and robust documentation for platform actions. It supports multiple deployment methods, including standalone, Docker, Vercel, and integration with tools like Claude Desktop and Cursor.

  8 5 MCP
• 9
  

  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
• 10
  

  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
• 11
  

  locust-mcp-server

  Run Locust load tests via Model Context Protocol integration.

  locust-mcp-server provides a Model Context Protocol (MCP) server for executing Locust load tests, allowing seamless connection between Locust and AI-powered development environments. It offers easy configuration, real-time test output, and both headless and UI testing modes. The project features a simple API for customizable load testing scenarios and supports various runtime and user parameters.

  9 6 MCP
• 12
  

  k6-mcp-server

  A Model Context Protocol server for orchestrating k6 load tests via MCP-enabled clients.

  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 8 MCP
• 13
  

  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
• 14
  

  OpsLevel MCP Server

  Read-only MCP server for integrating OpsLevel data with AI tools.

  OpsLevel MCP Server implements the Model Context Protocol to provide AI tools with a secure way to access and interact with OpsLevel account data. It supports read-only operations for a wide range of OpsLevel resources such as actions, campaigns, checks, components, documentation, domains, and more. The tool is compatible with popular environments including Claude Desktop and VS Code, enabling easy integration via configuration and API tokens. Installation options include Homebrew, Docker, and standalone binaries.

  8 7 MCP
• 15
  

  Awesome Ionic MCP server

  A comprehensive coding companion for Ionic Framework and Capacitor, powered by Model Context Protocol.

  Awesome Ionic MCP server delivers real-time access to Ionic Framework components, Capacitor plugins, and developer resources using the Model Context Protocol (MCP). It provides standardized tools for retrieving TypeScript definitions, API documentation, code examples, and plugin information, streamlining the mobile app development process across React, Angular, Vue, and JavaScript projects. The server aggregates and curates data from official sources including ionicframework.com, capacitorjs.com, and community repositories, offering seamless integration with MCP-compatible AI development platforms.

  23 3 MCP
• 16
  

  Octomind MCP Server

  Let agents create and manage automated end-to-end tests with Octomind.

  Octomind MCP Server enables agents to interact with Octomind's end-to-end testing platform, allowing the creation, execution, and management of automated tests. It provides a server that integrates with various clients and allows for configuration, session management, and access to multiple testing tools and resources. The server supports extensible session storage options and integrates with external platforms like TestRail and Redis for advanced scenarios. It is designed to facilitate local development and enhance test management workflows.

  21 9 MCP
• 17
  

  MCP Server for the RAG Web Browser Actor

  Local MCP server enabling LLMs to browse and extract web content via RAG Web Browser integration.

  Implements a Model Context Protocol (MCP) server designed for integration with LLMs and Retrieval-Augmented Generation (RAG) pipelines, providing automated web search and web page extraction capabilities. Runs locally and interacts with the RAG Web Browser Actor in Standby mode, responding to queries by fetching, scraping, and returning cleaned content from the web as Markdown. Supports Google Search queries and direct URL fetching through a standardized 'search' tool interface, offering multiple output formats and programmable arguments. Deprecated in favor of mcp.apify.com but illustrates MCP server use for local web browsing integrations.

  194 25 MCP
• 18
  

  Webpage Screenshot MCP Server

  Capture web page screenshots programmatically for AI agent workflows.

  Webpage Screenshot MCP Server enables the capture of webpage and element screenshots using Puppeteer, providing a Model Context Protocol-compliant interface for AI agents. It supports various image formats, flexible authentication, and session persistence to facilitate integration with tools like Claude and Cursor. The server simplifies visual verification and monitoring of web applications by returning base64-encoded screenshots through customizable options. It also allows manual login workflows and multi-step web interactions with session continuity.

  44 4 MCP
• 19
  

  MobSF MCP Tool

  MCP-compatible interface for MobSF APK and IPA scanning

  MobSF MCP Tool enables integration of the Mobile Security Framework (MobSF) with the Model Context Protocol, allowing direct scanning and analysis of APK and IPA files through any MCP-capable client, such as Claude or 5ire. It leverages MobSF's REST API to automate file uploads, scan initiation, and report retrieval. The tool optimizes output for AI model contexts by filtering out overly large results and provides example configurations for seamless integration with leading AI desktop apps.

  15 4 MCP
• 20
  

  JMeter MCP Server

  Execute and analyze JMeter tests via Model Context Protocol integration.

  JMeter MCP Server enables execution and analysis of Apache JMeter tests through MCP-compatible clients. It provides command-line and programmatic tools for running JMeter tests in GUI and non-GUI modes, parsing and analyzing JTL result files, and generating detailed metrics and reports. Designed for integration with tools that follow the Model Context Protocol, it facilitates seamless performance testing workflows and actionable insights for test results.

  47 16 MCP
• 21
  

  @just-every/mcp-screenshot-website-fast

  Fast screenshot capture and tiling optimized for AI model workflows.

  Provides a fast and efficient command-line tool for capturing high-quality screenshots of webpages, specifically optimized for integration with AI vision workflows via the Model Context Protocol (MCP). Automates image tiling to 1072x1072 pixel chunks for optimal processing and compatibility with tools like Claude Vision API. Includes advanced features such as full-page capture, screencast recording, support for JavaScript injection, configurable viewports, and resource-efficient browser management.

  89 8 MCP
• 22
  

  Bankless Onchain MCP Server

  Structured on-chain data access for AI models via the Bankless API

  Bankless Onchain MCP Server enables AI models to interact with blockchain data using the Model Context Protocol (MCP). It provides endpoints to read contract state, fetch event logs, retrieve contract ABIs, source codes, and transaction information across multiple blockchain networks. The server standardizes access to on-chain state and events, allowing for context-rich blockchain data retrieval. This facilitates seamless integration of on-chain data into AI-driven workflows.

  70 18 MCP
• 23
  

  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
• 24
  

  MCP Google Drive Server

  Seamlessly connect Google Drive and Sheets with MCP tools for file access and editing.

  The MCP Google Drive Server enables integration with Google Drive and Google Sheets, allowing users to search, read, and retrieve files, as well as interact with spreadsheets. It provides MCP-compatible tools for searching files, reading file contents, reading spreadsheet ranges, and updating spreadsheet cells. Files in Google Drive are made accessible through standardized resources, supporting multiple export formats for Google Workspace files. Designed for easy authentication and configuration with Google Cloud, the server streamlines interactions between external systems and Google Drive resources.

  228 85 MCP
• 25
  

  tip.md x402 + CDP MCP Server

  Enables AI agents to facilitate crypto tipping with x402 payment collection and CDP disbursement.

  tip.md x402 + CDP MCP Server transforms any AI agent into a payment-enabled tipping agent by integrating x402 payment collection with automatic CDP disbursement. It provides a suite of 7 MCP-compatible tools for managing crypto tipping, wallet operations, and payment flows across multiple blockchains. The server supports direct-to-wallet transactions with transparent fees and composability for various AI workflows. Designed to work seamlessly with AI agents and MCP clients, it simplifies the process of sending and managing tips in cryptocurrency.

  9 4 MCP
• 26
  

  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
• 27
  

  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
• 28
  

  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
• 29
  

  DroidMind

  AI-powered control and debugging of Android devices via Model Context Protocol

  DroidMind enables AI assistants to interact directly with Android devices by implementing the Model Context Protocol (MCP). It allows secure device management, system analysis, and automation tasks using ADB commands, all through structured interfaces. Supporting integration with MCP-compatible IDEs, it offers robust features for file handling, app control, UI automation, and security enforcement. Seamless connectivity is facilitated for clients like Claude, Cursor, and similar tools.

  261 40 MCP
• 30
  

  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
• 31
  

  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
• 32
  

  Selenium MCP Server

  Model Context Protocol server for web automation via Selenium.

  Selenium MCP Server provides a Model Context Protocol (MCP) compliant interface that enables AI assistants to automate web interactions using Selenium WebDriver. It offers tools for page navigation, element discovery and manipulation, JavaScript execution, screenshot capture, and browser log access. The server supports seamless integration with MCP clients, extensible testing and debugging options, and fine-grained browser local storage management.

  3 1 MCP
• 33
  

  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
• 34
  

  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
• 35
  

  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
• 36
  

  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
• 37
  

  QA Sphere MCP Server

  Model Context Protocol server enabling LLMs to interact with QA Sphere test cases

  QA Sphere MCP Server provides a Model Context Protocol (MCP) integration for QA Sphere, allowing Large Language Models to interact with, discover, and summarize test cases within the QA Sphere test management system. It enables AI-powered IDEs and MCP clients to reference and manipulate QA Sphere test case data within development workflows. The solution supports quick integration into clients like Claude, Cursor, and 5ire, facilitating seamless collaboration and context sharing for AI-assisted development.

  15 6 MCP
• 38
  

  Flowcore Platform MCP Server

  A standardized MCP server for managing and interacting with Flowcore Platform resources.

  Flowcore Platform MCP Server provides an implementation of the Model Context Protocol (MCP) for seamless interaction and management of Flowcore resources. It enables AI assistants to query and control the Flowcore Platform using a structured API, allowing for enhanced context handling and data access. The server supports easy deployment with npx, npm, or Bun and requires user authentication using Flowcore credentials.

  9 5 MCP
• 39
  

  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
• 40
  

  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
• 41
  

  Insforge MCP Server

  A Model Context Protocol server for seamless integration with Insforge and compatible AI clients.

  Insforge MCP Server implements the Model Context Protocol (MCP), enabling smooth integration with various AI tools and clients. It allows users to configure and manage connections to the Insforge platform, providing automated and manual installation methods. The server supports multiple AI clients such as Claude Code, Cursor, Windsurf, Cline, Roo Code, and Trae via standardized context management. Documentation and configuration guidelines are available for further customization and usage.

  3 2 MCP
• 42
  

  Airtable MCP Server

  Advanced AI-powered server enabling enterprise-grade automation and analytics for Airtable through MCP.

  Airtable MCP Server is an AI-enhanced MCP-compliant server designed to provide seamless integration with Airtable databases. It offers intelligent automation, predictive analytics, natural language querying, and comprehensive schema management, powered by a robust TypeScript architecture. The solution is equipped with multi-base support, enterprise-level security, and advanced governance, making it suitable for diverse workflow automation and analytics scenarios.

  45 17 MCP
• 43
  

  App Store Connect MCP Server

  Conversational AI server for App Store Connect management via MCP

  App Store Connect MCP Server is a Model Context Protocol (MCP) compliant server that enables seamless interaction with Apple's App Store Connect API. It empowers users to manage apps, beta testers, devices, bundle IDs, app metadata, and capabilities through natural language. The server supports secure authentication, real-time analytics, and localization management, streamlining development, DevOps, and product workflows.

  139 23 MCP
• 44
  

  Currents MCP Server

  Connect AI agents to test results context via Currents MCP Server.

  Currents MCP Server provides a standardized Model Context Protocol (MCP) server for integrating test results and debugging data into AI agents. It enables seamless communication between CI test data in Currents and AI-powered tools, such as Cursor Editor and Claude Desktop, facilitating actions like test optimization and failure diagnosis. The server exposes a suite of tools for retrieving detailed project, run, and performance metrics and is easily configurable via command-line for development and integration. Secure handling of API keys and support for local development are included.

  14 6 MCP
• 45
  

  CockroachDB MCP Server

  Natural language interface for managing CockroachDB via MCP protocol

  CockroachDB MCP Server enables natural language interactions with CockroachDB, integrating with Model Context Protocol (MCP) clients. It supports comprehensive database management, cluster monitoring, and SQL operations through standardized tools. Designed for LLMs and agentic applications, it facilitates seamless AI-driven workflows to query, manipulate, and monitor CockroachDB databases. The system emphasizes performance, scalability, and easy integration with popular LLM tools.

  6 3 MCP
• 46
  

  Aiven MCP Server

  Model Context Protocol server enabling LLMs to access and manage Aiven cloud data services.

  Aiven MCP Server implements the Model Context Protocol (MCP) to provide secure access to Aiven's PostgreSQL, Kafka, ClickHouse, Valkey, and OpenSearch services. It enables Large Language Models (LLMs) to seamlessly integrate and interact with these cloud data platforms, supporting full stack solution development. The server offers streamlined tools for project and service management via standardized APIs and supports integration with platforms like Claude Desktop and Cursor. Environment variable configuration and explicit permission controls are used to ensure secure and flexible operations.

  11 11 MCP
• 47
  

  Supabase MCP Server

  Connect Supabase projects to AI assistants using the Model Context Protocol.

  Supabase MCP Server enables direct, secure integration between Supabase projects and AI assistants such as Cursor, Claude, and Windsurf. Leveraging the Model Context Protocol, it provides standardized endpoints for external LLMs to perform tasks like managing tables, fetching configurations, and querying data on Supabase. The server supports OAuth 2.1 Dynamic Client Registration and offers easy setup with feature groups and popular client installers for local, cloud, and self-hosted environments.

  2,263 253 MCP
• 48
  

  VictoriaLogs MCP Server

  MCP server enabling advanced read-only access and observability for VictoriaLogs

  VictoriaLogs MCP Server implements the Model Context Protocol (MCP) to provide seamless, read-only integration with VictoriaLogs instances. It enables comprehensive access to VictoriaLogs APIs, allowing for log querying, exploration, and advanced observability tasks. The server includes embedded and searchable documentation and supports automation and interaction capabilities via standardized MCP tools. Designed to combine with other MCP servers, it enhances engineering workflows for log analysis and troubleshooting.

  30 7 MCP
• 49
  

  airtable-mcp-server

  MCP server providing LLMs with read/write access to Airtable databases.

  airtable-mcp-server enables language models to inspect Airtable schemas and interact with Airtable databases through the Model Context Protocol (MCP). It provides tools for listing, reading, and writing records, allowing integration with environments like Claude Desktop, Cursor, and Cline. The solution uses user-provided Airtable API keys for authentication, supporting secure access and manipulation of Airtable data via standardized MCP-compatible clients.

  343 119 MCP
• 50
  

  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