MCP Google Sheets Server - Alternatives & Competitors

Ranked by Relevance

• 1
  

  Google Sheets MCP Server

  Automate Google Sheets with Model Context Protocol integration.

  Google Sheets MCP Server enables seamless integration between Google Sheets and any MCP-compatible client, providing rich API access for spreadsheet automation. It offers full CRUD operations on spreadsheets and tables, secure authentication with Google Service Accounts, and compatibility with tools like Continue.dev, Claude Desktop, and Perplexity. The service can be rapidly installed with the uvx package manager, making it fast and easy to connect Google Sheets to various AI and automation workflows.

  12 3 MCP
• 2
  

  mcp-google-sheets

  Your AI Assistant's Gateway to Google Sheets!

  mcp-google-sheets is a Python-based MCP server that bridges MCP-compatible clients and the Google Sheets API. It enables seamless interaction with Google Spreadsheets, allowing for data manipulation, automation, and workflow creation driven by AI tools via a standardized protocol. The server can be quickly deployed using 'uvx', supports service account authentication, and integrates with AI clients like Claude Desktop. It offers a defined set of tools to streamline spreadsheet operations securely and efficiently.

  502 136 MCP
• 3
  

  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
• 4
  

  Google Workspace MCP Server

  Full natural language control of Google Workspace through the Model Context Protocol.

  Google Workspace MCP Server enables comprehensive natural language interaction with Google services such as Calendar, Drive, Gmail, Docs, Sheets, Slides, Forms, Tasks, and Chat via any MCP-compatible client or AI assistant. It supports both single-user and secure multi-user OAuth 2.1 authentication, providing a production-ready backend for custom apps. Built on FastMCP, it delivers high performance and advanced context handling, offering deep integration with the entire Google Workspace suite.

  890 259 MCP
• 5
  

  Google Workspace MCP Server

  A secure MCP server bridging Google Workspace and AI clients.

  Google Workspace MCP Server implements the Model Context Protocol to enable secure integration between Google Workspace services—such as Gmail, Calendar, and Drive—and any MCP-compatible AI client. It allows users to read, search, create, update, and delete Google Calendar events, emails, and Drive files directly through an AI agent interface. The tool ensures authentication via Google OAuth and provides a seamless setup process for both server and client sides. This makes it easier for AI-powered workflows to interact with Google Workspace data securely and contextually.

  20 7 MCP
• 6
  

  Google MCP Tools

  Seamless Google Workspace integration for AI-driven clients via the MCP protocol

  Google MCP Tools enables AI clients to interact with Google services like Gmail, Calendar, and Drive using the Model Context Protocol (MCP). It provides secure OAuth and service account support for managing emails, calendar events, and drive files. Core capabilities include sending and drafting emails with attachments, managing labels, scheduling calendar events, and handling files in Google Drive. Designed for smooth integration with AI assistants such as Claude and Cursor.

  12 9 MCP
• 7
  

  mcp-gsuite

  MCP server for integrating Google Gmail and Calendar with AI tools

  mcp-gsuite enables seamless integration of Google Workspace products, such as Gmail and Calendar, with AI models via the Model Context Protocol (MCP). It supports multiple Google accounts, OAuth2 authentication, and a variety of email and calendar management functions. Users can retrieve, compose, and manage emails or calendar events, and provide rich contextual information to AI systems.

  457 89 MCP
• 8
  

  Excel MCP Server

  Manipulate Excel files programmatically via the Model Context Protocol.

  Excel MCP Server enables AI agents and applications to create, read, and modify Excel workbooks without relying on Microsoft Excel. It provides comprehensive Excel operations such as editing sheets, managing data, generating charts, and working with pivot tables through various transport protocols including stdio and HTTP. The server supports robust data validation, advanced formatting, and seamless integration as both a local tool and remote service. Configuration options for file management and port settings allow for flexible deployment.

  2,795 326 MCP
• 9
  

  keep-mcp

  Connect Google Keep notes to the Model Context Protocol ecosystem.

  Provides an MCP server interface for Google Keep, enabling standardized interaction with Keep notes via the Model Context Protocol. Allows users to search, create, update, and delete Google Keep notes through MCP, supporting integration with MCP-compatible platforms. It restricts modification and deletion operations to notes managed by the MCP server unless configured otherwise. Credentials for Google authentication are securely handled through environment variables.

  52 19 MCP
• 10
  

  Postman MCP Server

  MCP-compliant server providing full access to the Postman API.

  Postman MCP Server is a TypeScript-based implementation of an MCP server that offers extensive integration with the Postman API. It enables management of Postman collections, environments, and APIs while supporting advanced features like authentication, webhooks, and enterprise controls. The project is part of the Model Context Protocol initiative and adheres to MCP standards for model context integration. Designed with developers in mind, it provides CRUD operations, version control, and seamless automation capabilities.

  143 31 MCP
• 11
  

  GistPad MCP

  Manage and share personal knowledge and reusable prompts via GitHub Gists with MCP compatibility.

  GistPad MCP is an MCP server designed for managing, organizing, and sharing personal knowledge, daily notes, reusable prompts, and more through GitHub Gists. It integrates with clients like the GistPad VS Code extension and web apps, allowing users to interact with their gists using standardized MCP tools across MCP-enabled AI products. The project features comprehensive gist management, daily notes, collaboration, and prompt creation to streamline knowledge workflows with AI-enabled context. Seamless onboarding is supported via personal access tokens and simple configuration.

  168 24 MCP
• 12
  

  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
• 13
  

  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
• 14
  

  MCP Toolbox for Databases

  Open source MCP server for secure and efficient Gen AI database integrations.

  MCP Toolbox for Databases is an open source server that implements the Model Context Protocol (MCP) for database interactions in Gen AI workflows. It manages core complexities such as connection pooling, authentication, and tool integration, enabling developers to create and deploy database tools with ease and enhanced security. The toolbox supports streamlined connections between development environments and databases, offering observability, context-aware code generation, and automation features. Its design emphasizes rapid integration, reusable tools, and compatibility with AI assistants.

  11,412 988 MCP
• 15
  

  Snowflake MCP Server

  MCP server enabling secure and structured Snowflake database interaction with AI tools.

  Snowflake MCP Server provides a Model Context Protocol-conformant interface to interact programmatically with Snowflake databases. It exposes SQL execution, schema exploration, and insight aggregation as standardized resources and tools accessible by AI assistants. The server offers read/write capabilities, structured resource summaries, and insight memoization suitable for contextual AI workflows. Integration is supported with popular AI platforms such as Claude Desktop via Smithery or UVX configurations.

  170 75 MCP
• 16
  

  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
• 17
  

  Google Tasks MCP Server

  Integrate and manage Google Tasks via standardized MCP tools and resources.

  Google Tasks MCP Server integrates seamlessly with Google Tasks, providing standardized tools for listing, searching, creating, updating, and deleting tasks. Following the Model Context Protocol, it exposes task resources and actions in a way that can be easily integrated with MCP-driven applications, including desktop AI assistants. The server supports OAuth authentication, context-driven task manipulation, and automated integration with platforms like Smithery and Claude Desktop.

  91 32 MCP
• 18
  

  Google Tasks MCP Server

  Manage Google Tasks directly via Claude using an MCP bridge.

  Google Tasks MCP Server acts as a Model Context Protocol (MCP) server enabling seamless integration between Claude and Google Tasks. It facilitates task list and task management operations such as listing, creating, updating, deleting, moving, and marking tasks as completed. Users can interact with their Google Tasks through Claude Desktop, streamlining workflow automation and productivity. Installation can be performed via Smithery or manually, with OAuth-based authentication for secure access.

  26 14 MCP
• 19
  

  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
• 20
  

  MCP K8S Go

  Golang-based MCP server that enables AI-driven interactions with Kubernetes clusters.

  MCP K8S Go provides a server implementation of the Model Context Protocol for managing and interacting with Kubernetes clusters. It offers functionality to list, retrieve, create, and modify Kubernetes resources such as contexts, namespaces, pods, and nodes using standardized context-aware approaches. Designed for integration with AI assistants like Claude Desktop, it enables prompting and tool execution to manage cluster state, monitor events, fetch pod logs, and run in-pod commands. The solution supports deployment via various installation methods including Docker, Node.js, and Go binaries.

  356 50 MCP
• 21
  

  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
• 22
  

  liveblocks-mcp-server

  Enable AI models to interact with Liveblocks via standardized MCP server endpoints.

  liveblocks-mcp-server provides a Model Context Protocol (MCP) server allowing AI clients to access, create, modify, and delete resources within Liveblocks such as rooms, threads, comments, and notifications. The server also offers read access to Liveblocks Storage and Yjs, making it easier for AI interfaces to manage collaborative features through Liveblocks’ REST API. Integration is supported for various clients including Cursor, Claude Desktop, and VS Code. Secure authentication is handled via project-specific secret keys.

  11 8 MCP
• 23
  

  LeetCode MCP Server

  Seamless Model Context Protocol integration with LeetCode APIs for advanced automation and intelligent tooling.

  LeetCode MCP Server is a Model Context Protocol (MCP) compliant server that enables advanced integration with LeetCode’s APIs. It provides robust access to problem data, user profiles, contest analytics, and private user notes across both global and China LeetCode platforms. The server streamlines retrieval, analysis, and interaction with programming challenges, facilitating intelligent automation and enhanced workflow for developers and AI-powered tools. It can be installed via npm or Smithery and easily configured in popular environments like VSCode.

  70 17 MCP
• 24
  

  ms-365-mcp-server

  A Model Context Protocol server for seamless Microsoft 365 and Office Graph API integration.

  ms-365-mcp-server is a Model Context Protocol (MCP) server that enables secure and efficient access to Microsoft 365 and Office services via the Graph API. It supports authentication through Microsoft Authentication Library (MSAL), granular tool filtering, and provides output in both JSON and token-efficient TOON formats. The server offers comprehensive integration with personal and organizational Microsoft 365 tools including Outlook, Calendar, OneDrive, Excel, Teams, Planner, and SharePoint. It supports both read-only mode for safe operations and advanced organization mode for enhanced team and enterprise scenarios.

  333 114 MCP
• 25
  

  Slack MCP Server

  A feature-rich Model Context Protocol server for integrating Slack Workspaces with AI model context management.

  Slack MCP Server acts as a Model Context Protocol (MCP) server tailored for Slack Workspaces, providing flexible integration modes including Stealth and OAuth. It enables advanced functionalities such as fetching channel and thread messages, supporting direct and group messages, smart history retrieval, and robust context management for AI workflows. Communication is supported over Stdio, SSE, and HTTP transports, and the platform includes enhanced features like user information embedding and cache support. Designed for enterprise and individual use, it allows seamless context extraction and management without compromising workspace security.

  903 136 MCP
• 26
  

  MCP Server Kubernetes

  Connect and manage Kubernetes clusters via Model Context Protocol servers.

  MCP Server Kubernetes enables seamless connection and management of Kubernetes clusters through the Model Context Protocol. It supports loading kubeconfig from multiple sources, integrates easily with Claude Code, Claude Desktop, and VS Code, and offers flexible authentication mechanisms. Users can control clusters using standard command-line tools and extension integrations for multiple environments.

  1,181 194 MCP
• 27
  

  MCP Teams Server

  Model Context Protocol server implementation for Microsoft Teams integration.

  MCP Teams Server implements the Model Context Protocol (MCP) to enable integration with Microsoft Teams, allowing for reading, creating, and replying to messages as well as managing mentions and channel members. It offers seamless server capabilities that bridge MCP-compliant tools with Microsoft Teams environments. The solution supports message threading, user mentions, and team/channel context management, enhancing collaboration and automation in Teams. Pre-built Docker images and straightforward deployment options are provided.

  331 27 MCP
• 28
  

  @f4ww4z/mcp-mysql-server

  Standardized MySQL operations server for Model Context Protocol environments.

  Provides a Model Context Protocol server that allows AI models to interact with MySQL databases through a standardized interface. Supports secure connection, prepared statements, and robust error handling. Enables models to connect, query, execute statements, list tables, and describe schema with simple commands. Designed for seamless integration with tools like Smithery and evaluation frameworks.

  130 27 MCP
• 29
  

  OpenAPI-MCP

  Dockerized MCP server that transforms OpenAPI/Swagger specs into MCP-compatible tools.

  OpenAPI-MCP is a dockerized server that reads Swagger/OpenAPI specification files and generates corresponding Model Context Protocol (MCP) toolsets. It enables MCP-compatible clients to interact dynamically with APIs described by OpenAPI specs, automatically generating the necessary tool schemas and facilitating secure API key handling. The solution supports both local and remote API specs, offers filtering by tags and operations, and can be easily deployed using Docker.

  150 31 MCP
• 30
  

  Azure Resource Graph MCP Server

  MCP server for querying Azure Resource Graph across subscriptions

  Azure Resource Graph MCP Server enables users to perform Azure Resource Graph queries via the Model Context Protocol, offering seamless access to Azure resource information across multiple subscriptions. It supports both default and custom queries and integrates with development environments like Cursor IDE and Visual Studio Code. The server authenticates using Azure credentials and facilitates efficient retrieval of resource details such as resource ID, name, type, and location.

  13 7 MCP
• 31
  

  mcp-k8s

  A Kubernetes MCP server enabling resource management via Model Control Protocol.

  mcp-k8s is a Kubernetes server that implements the Model Control Protocol (MCP), allowing users to interact with Kubernetes clusters through MCP-compatible tools. It supports querying and managing all Kubernetes resources, including custom resources, with fine-grained control over read and write operations. The server utilizes stdio communication and integrates with both Kubernetes and Helm, facilitating resource and Helm release management. It is designed to support natural language interactions with large language models for managing, diagnosing, and learning Kubernetes operations.

  129 25 MCP
• 32
  

  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
• 33
  

  openai-gpt-image-mcp

  MCP-compatible server for image generation and editing via OpenAI APIs.

  Provides a Model Context Protocol (MCP) tool server that interfaces with OpenAI's GPT-4o/gpt-image-1 APIs to generate and edit images from text prompts. Supports advanced image editing operations including inpainting, outpainting, and compositing with customizable options. Integrates with MCP-compatible clients such as Claude Desktop, VSCode, Cursor, and Windsurf. Offers both base64 and file output for generated images, with automatic file handling for large images.

  70 21 MCP
• 34
  

  YCloud WhatsApp API MCP Server

  Bridge YCloud WhatsApp API to AI models via Model Context Protocol.

  YCloud WhatsApp API MCP Server enables seamless integration between the YCloud WhatsApp OpenAPI and AI models using the Model Context Protocol (MCP). It dynamically generates MCP tools from the OpenAPI specification, supporting interaction with all YCloud API endpoints. The server includes built-in handling for API authentication, parameter validation, and HTTP request/response management, and can be easily integrated with Claude desktop applications. Environment variable configuration allows flexible deployment and usage.

  8 6 MCP
• 35
  

  LINE Bot MCP Server

  MCP server connecting LINE Messaging API with AI agents

  Provides a Model Context Protocol (MCP) server implementation for integrating AI agents with the LINE Messaging API. Enables sending text and flex messages, accessing user profiles, and managing features like rich menus via MCP-compatible endpoints. Designed for connecting AI-driven context management with LINE Official Accounts for experimental and production scenarios.

  493 86 MCP
• 36
  

  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
• 37
  

  Open Feishu MCP Server

  A Cloudflare-based remote MCP server with integrated Feishu OAuth authentication.

  Open Feishu MCP Server provides a fully functional remote Model Context Protocol (MCP) server with integrated Feishu OAuth support. It enables zero-configuration user authentication and context management via Feishu accounts and is optimized for usability and tool set performance. Designed for deployment on Cloudflare Workers, it offers scalable, secure connectivity with multiple clients and supports seamless integration with various tools and platforms.

  66 9 MCP
• 38
  

  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
• 39
  

  Telegram MCP Server

  A bridge connecting AI assistants to the Telegram API via the Model Context Protocol.

  Telegram MCP Server facilitates secure and structured interaction between AI assistants and the Telegram API by implementing the Model Context Protocol. It enables AI-powered tools to access, organize, and manage Telegram messages, chats, and user data while maintaining user control and privacy. The server offers capabilities for retrieving messages, managing conversations, sending drafts, and organizing chats, making it a versatile tool for AI integrations with Telegram.

  237 26 MCP
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  MCP Server LeetCode

  An MCP server enabling AI assistants to access and interact with LeetCode data.

  MCP Server LeetCode provides a Model Context Protocol server interface to the LeetCode platform, allowing AI assistants to efficiently access LeetCode problems, user profiles, and contest information. The tool offers both a command-line interface and a programmable API for integration, supporting advanced queries and direct interaction with LeetCode resources. Comprehensive toolsets allow for searching problems, fetching daily challenges, and retrieving user and contest data. The server is designed for seamless integration with platforms such as Claude Desktop.

  33 9 MCP
• 41
  

  Kestra Python MCP Server

  Run Kestra orchestrations with Model Context Protocol support via Docker.

  Kestra Python MCP Server enables integration of the Kestra workflow orchestration platform with environments that use the Model Context Protocol (MCP). It provides a Dockerized MCP server for managing workflows, executions, files, namespaces, and more, with support for both Open-Source (OSS) and Enterprise Edition (EE) setups. The server can be configured easily using environment variables and is compatible with tools like VS Code and Claude, making model-driven orchestration accessible and modular.

  16 3 MCP
• 42
  

  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
• 43
  

  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
• 44
  

  Outsource MCP

  Unified MCP server for multi-provider AI text and image generation

  Outsource MCP is a Model Context Protocol server that bridges AI applications with multiple model providers via a single unified interface. It enables AI tools and clients to access over 20 major providers for both text and image generation, streamlining model selection and API integration. Built on FastMCP and Agno agent frameworks, it supports flexible configuration and is compatible with MCP-enabled AI tools. Authentication is provider-specific, and all interactions use a simple standardized API format.

  26 5 MCP
• 45
  

  1mcp-app/agent

  A unified server that aggregates and manages multiple Model Context Protocol servers.

  1MCP Agent provides a single, unified interface that aggregates multiple Model Context Protocol (MCP) servers, enabling seamless integration and management of external tools for AI assistants. It acts as a proxy, managing server configuration, authentication, health monitoring, and dynamic server control with features like asynchronous loading, tag-based filtering, and advanced security options. Compatible with popular AI development environments, it simplifies setup by reducing redundant server instances and resource usage. Users can configure, monitor, and scale model tool integrations across various AI clients through easy CLI commands or Docker deployment.

  96 14 MCP
• 46
  

  MCP-Twikit

  A Model Context Protocol server for Twitter search and interaction.

  MCP-Twikit is an MCP-compliant server that enables interaction with the Twitter platform via the Model Context Protocol. It supports functions such as searching tweets, analyzing sentiments across accounts, and retrieving a user's Twitter timeline. The tool is designed for integration with AI clients to facilitate structured, context-aware access to Twitter data.

  211 27 MCP
• 47
  

  McGravity

  Unified load balancer and proxy for multiple MCP servers

  McGravity acts as a scalable unified proxy and load balancer for multiple MCP (Model Context Protocol) servers. It allows clients to connect through a single endpoint to access and manage multiple MCP servers efficiently. The tool offers load balancing, configuration via YAML, CLI and Docker support, and plans to evolve with features such as health checks and a web interface. Designed for modern GenAI infrastructure, it simplifies connection, balancing, and scalability of MCP server deployments.

  68 3 MCP
• 48
  

  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
• 49
  

  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
• 50
  

  MCP Mermaid

  AI-powered dynamic generation of Mermaid diagrams via the Model Context Protocol.

  MCP Mermaid enables dynamic generation of Mermaid diagrams and charts using AI via the Model Context Protocol (MCP). It supports all features and syntax of Mermaid, and can export diagrams in various formats including SVG, base64, and files. The server can be run locally or globally using different transport protocols such as stdio, SSE, or streamable, making it compatible with tools like Claude, VSCode, and Smithery. It provides customization for background color and theme, and validates output to ensure correct syntax and graphics.

  283 36 MCP