mcp-gsuite - Alternatives & Competitors

Ranked by Relevance

• 1
  

  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
• 2
  

  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
• 3
  

  Google Calendar MCP Server

  MCP-compliant server enabling Google Calendar integration with Claude Desktop.

  Google Calendar MCP Server provides a Model Context Protocol server implementation for seamless integration between Claude Desktop and Google Calendar. It enables natural language-based scheduling, creation, updating, and deletion of calendar events by handling OAuth2 authentication and offering standardized tool interfaces. The server employs TypeScript, leverages the MCP SDK, and ensures secure token handling with AES-256-GCM encryption. Robust schema validation and environment-based configuration enable secure, reliable, and flexible calendar management.

  53 7 MCP
• 4
  

  MyMCP Server (All-in-One Model Context Protocol)

  Powerful and extensible Model Context Protocol server with developer and productivity integrations.

  MyMCP Server is a robust Model Context Protocol (MCP) server implementation that integrates with services like GitLab, Jira, Confluence, YouTube, Google Workspace, and more. It provides AI-powered search, contextual tool execution, and workflow automation for development and productivity tasks. The system supports extensive configuration and enables selective activation of grouped toolsets for various environments. Installation and deployment are streamlined, with both automated and manual setup options available.

  93 9 MCP
• 5
  

  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
• 6
  

  MCP ChatGPT Server

  Enables direct access to OpenAI's ChatGPT API from Claude Desktop via the Model Context Protocol.

  MCP ChatGPT Server runs as an MCP-compliant server, allowing users to access OpenAI's ChatGPT API seamlessly within Claude Desktop. It supports customizable model parameters, automated conversation state management, integrated web search for up-to-date information, and facilitates interactive discussions between Claude and ChatGPT. Users can configure model selection, temperature, token limits, and use their own OpenAI API keys.

  14 8 MCP
• 7
  

  Klavis

  One MCP server for AI agents to handle thousands of tools.

  Klavis provides an MCP (Model Context Protocol) server with over 100 prebuilt integrations for AI agents, enabling seamless connectivity with various tools and services. It offers both cloud-hosted and self-hosted deployment options and includes out-of-the-box OAuth support for secure authentication. Klavis is designed to act as an intelligent connector, streamlining workflow automation and enhancing agent capability through standardized context management.

  5,447 500 MCP
• 8
  

  TickTick MCP

  MCP server for AI-powered TickTick task management integration

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

  6 6 MCP
• 9
  

  OpenAI MCP Server

  Bridge between Claude and OpenAI models using the MCP protocol.

  OpenAI MCP Server enables direct querying of OpenAI language models from Claude via the Model Context Protocol (MCP). It provides a configurable Python server that exposes OpenAI APIs as MCP endpoints. The server is designed for seamless integration, requiring simple configuration updates and environment variable setup. Automated testing is supported to verify connectivity and response from the OpenAI API.

  77 19 MCP
• 10
  

  @growi/mcp-server

  Bridge GROWI wiki content to AI models with context-aware access and management.

  @growi/mcp-server acts as a Model Context Protocol (MCP) server that enables AI models to access, search, and manage GROWI wiki content within an organization. It facilitates seamless connection between multiple GROWI instances and language models, enhancing information retrieval and knowledge management capabilities. The platform provides comprehensive tools for page, tag, comment, and revision management as well as share link and user activity tracking. Its flexible configuration allows simultaneous operation with several GROWI apps for scalable deployment.

  10 7 MCP
• 11
  

  Make MCP Server (legacy)

  Enable AI assistants to utilize Make automation workflows as callable tools.

  Make MCP Server (legacy) provides a Model Context Protocol (MCP) server that connects AI assistants with Make scenarios configured for on-demand execution. It parses and exposes scenario parameters, allowing AI systems to invoke automation workflows and receive structured JSON outputs. The server supports secure integration through API keys and facilitates seamless communication between AI and Make's automation platform.

  142 39 MCP
• 12
  

  MCP Server for Odoo

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

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

  101 58 MCP
• 13
  

  Unichat MCP Server

  Universal MCP server providing context-aware AI chat and code tools across major model vendors.

  Unichat MCP Server enables sending standardized requests to leading AI model vendors, including OpenAI, MistralAI, Anthropic, xAI, Google AI, DeepSeek, Alibaba, and Inception, utilizing the Model Context Protocol. It features unified endpoints for chat interactions and provides specialized tools for code review, documentation generation, code explanation, and programmatic code reworking. The server is designed for seamless integration with platforms like Claude Desktop and installation via Smithery. Vendor API keys are required for secure access to supported providers.

  37 10 MCP
• 14
  

  gqai

  Expose GraphQL operations as Model Context Protocol (MCP) tools for AI models.

  gqai is a lightweight proxy that converts GraphQL operations into MCP-compatible tools, enabling integration with AI systems such as ChatGPT, Claude, and Cursor. It automatically discovers and exposes GraphQL queries and mutations as callable tools via an MCP server, powered by your existing GraphQL backend. Configuration is managed via standard .graphqlrc.yml and .graphql files, with support for dynamic endpoints and environment variables.

  21 4 MCP
• 15
  

  TickTick MCP Server

  Enable powerful AI-driven task management for TickTick via the Model Context Protocol.

  TickTick MCP Server provides comprehensive programmatic access to TickTick task management features using the Model Context Protocol. Built on the ticktick-py library, it enables AI assistants and MCP-compatible applications to create, update, retrieve, and filter tasks with improved precision and flexibility. The server supports advanced filtering, project and tag management, subtask handling, and robust context management for seamless AI integration.

  35 9 MCP
• 16
  

  Teamwork MCP Server

  Seamless Teamwork.com integration for Large Language Models via the Model Context Protocol

  Teamwork MCP Server is an implementation of the Model Context Protocol (MCP) that enables Large Language Models to interact securely and programmatically with Teamwork.com. It offers standardized interfaces, including HTTP and STDIO, allowing AI agents to perform various project management operations. The server supports multiple authentication methods, an extensible toolset architecture, and is designed for production deployments. It provides read-only capability for safe integrations and robust observability features.

  11 9 MCP
• 17
  

  mcp-graphql

  Enables LLMs to interact dynamically with GraphQL APIs via Model Context Protocol.

  mcp-graphql provides a Model Context Protocol (MCP) server that allows large language models to discover and interact with GraphQL APIs. The implementation facilitates schema introspection, exposes the GraphQL schema as a resource, and enables secure query and mutation execution based on configuration. It supports configuration through environment variables, automated or manual installation options, and offers flexibility in using local or remote schema files. By default, mutation operations are disabled for security, but can be enabled if required.

  319 54 MCP
• 18
  

  Azure MCP Server

  Connect AI agents with Azure services through Model Context Protocol.

  Azure MCP Server provides a seamless interface between AI agents and Azure services by implementing the Model Context Protocol (MCP) specification. It enables integration with tools like GitHub Copilot for Azure and supports a wide range of Azure resource management tasks directly via conversational AI interfaces. Designed for extensibility and compatibility, it offers enhanced contextual capabilities for agents working with Azure environments.

  1,178 351 MCP
• 19
  

  MCP Simple OpenAI Assistant

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

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

  36 16 MCP
• 20
  

  MCP OpenAI Server

  Seamlessly connect OpenAI's models to Claude via Model Context Protocol.

  MCP OpenAI Server acts as a Model Context Protocol (MCP) bridge allowing Claude Desktop to access and interact with multiple OpenAI chat models. It enables users to leverage models such as GPT-4o and O1 directly from Claude using a straightforward message-passing interface. The server supports easy integration through configuration and provides basic error handling. Designed for use with Node.js and requiring an OpenAI API key, it is tailored for macOS with support for other platforms in progress.

  69 23 MCP
• 21
  

  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
• 22
  

  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
• 23
  

  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
• 24
  

  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
• 25
  

  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
• 26
  

  MCP Server for Google Tag Manager

  Remote MCP server enabling Google Tag Manager integration with AI clients.

  MCP Server for Google Tag Manager enables remote MCP connections with built-in Google OAuth, creating an interface to the Google Tag Manager API. It facilitates secure authentication and streamlined access for AI tools like Claude Desktop and Cursor AI. Developers can quickly configure their MCP clients for seamless integration and manage credentials with ease. Tools and workflows become accessible once authenticated, enhancing contextual interaction and automation through Google Tag Manager.

  70 29 MCP
• 27
  

  Google Ads MCP Server

  Seamlessly connect Google Ads API to MCP clients with automatic authentication and querying.

  Google Ads MCP Server is a FastMCP-powered Model Context Protocol server designed to integrate Google Ads API with MCP clients such as Claude Desktop. It provides automatic OAuth 2.0 authentication, smart token management, GAQL query execution, and keyword research tools. The server enables users to manage accounts, run advanced queries, and generate keyword ideas while maintaining secure local token storage. Optimized for one-click setup, it offers robust features for advertisers and developers looking to leverage Google Ads data with MCP-compatible tools.

  76 26 MCP
• 28
  

  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
• 29
  

  Graphlit MCP Server

  Integrate and unify knowledge sources for RAG-ready AI context with the Graphlit MCP Server.

  Graphlit MCP Server provides a Model Context Protocol interface, enabling seamless integration between MCP clients and the Graphlit platform. It supports ingestion from a wide array of sources such as Slack, Discord, Google Drive, email, Jira, and GitHub, turning them into a searchable, RAG-ready knowledge base. Built-in tools allow for document, media extraction, web crawling, and web search, as well as advanced retrieval and publishing functionalities. The server facilitates easy configuration, sophisticated data operations, and automated notifications for diverse workflows.

  369 49 MCP
• 30
  

  MCP Google Sheets Server

  Seamless Google Sheets integration for MCP clients.

  Enables MCP-compatible clients to read, write, and manage Google Sheets through a dedicated server interface. Provides advanced spreadsheet operations such as batch editing, chart creation, and formatting while supporting secure authentication using Google Cloud service accounts. Offers production-grade reliability with TypeScript implementation, robust error handling, and comprehensive test coverage. Easily integrates with platforms like Claude Code, Claude Desktop, Cursor, and more.

  34 9 MCP
• 31
  

  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
• 32
  

  G-Search MCP

  Parallel Google search server with MCP support for structured AI context.

  G-Search MCP is a server for executing parallel Google searches optimized for use with AI tools through the Model Context Protocol. It efficiently handles multiple queries at once, simulates realistic user behavior to evade detection, and returns well-structured JSON responses. The server is configurable, supports parameter tuning like search limits and timeouts, and is designed for seamless integration in AI-driven environments such as Claude Desktop.

  224 29 MCP
• 33
  

  GIS MCP Server

  Empower AI with advanced geospatial operations via Model Context Protocol.

  GIS MCP Server provides a Model Context Protocol (MCP) server implementation that enables Large Language Models to access and perform sophisticated GIS operations. It bridges AI assistants with Python geospatial libraries such as Shapely, GeoPandas, PyProj, Rasterio, and PySAL. The server supports a wide range of spatial analysis, coordinate transformations, raster and vector data processing, and geospatial intelligence tasks. By integrating with MCP-compatible clients, it enhances AI tools with precise and extensible spatial capabilities.

  70 21 MCP
• 34
  

  Cal.com FastMCP Server

  FastMCP server enabling LLMs to interact programmatically with the Cal.com API.

  Cal.com FastMCP Server provides an implementation of the Model Context Protocol (MCP), enabling language models to programmatically interact with the Cal.com API. It offers a range of tools for managing event types, bookings, schedules, teams, users, and webhooks through a standardized FastMCP server. The system includes robust error handling and requires an API key for authentication.

  13 8 MCP
• 35
  

  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
• 36
  

  GitMCP

  Instantly turn any GitHub repository into an AI-ready documentation hub.

  GitMCP is a free, open-source, remote Model Context Protocol (MCP) server that gives AI assistants real-time access to the latest documentation and code from any GitHub repository. It transforms any GitHub project into an accessible documentation hub, enabling AI tools to deliver accurate results, reduce hallucinations, and improve code correctness. Supporting both specific and generic server modes, it allows seamless integration into developer workflows with zero setup. GitMCP emphasizes privacy, flexibility, and up-to-date information retrieval.

  6,916 571 MCP
• 37
  

  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
• 38
  

  Kanboard MCP Server

  MCP server for seamless AI integration with Kanboard project management.

  Kanboard MCP Server is a Go-based server implementing the Model Context Protocol (MCP) for integrating AI assistants with the Kanboard project management system. It enables users to manage projects, tasks, users, and workflows in Kanboard directly via natural language commands through compatible AI tools. With built-in support for secure authentication and high performance, it facilitates streamlined project operations between Kanboard and AI-powered clients like Cursor or Claude Desktop. The server is configurable and designed for compatibility with MCP standards.

  15 4 MCP
• 39
  

  GitHub MCP Server

  Connect AI tools directly to GitHub for repository, issue, and workflow management via natural language.

  GitHub MCP Server enables AI tools such as agents, assistants, and chatbots to interact natively with the GitHub platform. It allows these tools to access repositories, analyze code, manage issues and pull requests, and automate workflows using the Model Context Protocol (MCP). The server supports integration with multiple hosts, including VS Code and other popular IDEs, and can operate both remotely and locally. Built for developers seeking to enhance AI-powered development workflows through seamless GitHub context access.

  24,418 2,997 MCP
• 40
  

  Scrapeless MCP Server

  A real-time web integration layer for LLMs and AI agents built on the open MCP standard.

  Scrapeless MCP Server is a powerful integration layer enabling large language models, AI agents, and applications to interact with the web in real time. Built on the open Model Context Protocol, it facilitates seamless connections between models like ChatGPT, Claude, and tools such as Cursor to external web capabilities, including Google services, browser automation, and advanced data extraction. The system supports multiple transport modes and is designed to provide dynamic, real-world context to AI workflows. Robust scraping, dynamic content handling, and flexible export formats are core parts of the feature set.

  57 10 MCP
• 41
  

  Gopher & Gemini MCP Server

  A modern Model Context Protocol server for AI-driven exploration of Gopher and Gemini resources.

  Gopher & Gemini MCP Server provides a secure and efficient bridge for AI assistants to interact with resources on vintage Gopher and modern Gemini protocols using the Model Context Protocol (MCP) standard. It is built with FastMCP, delivers structured JSON responses optimized for LLMs, and supports comprehensive protocol coverage with advanced security and performance features. The server implements robust safeguards, certificate validation, and works cross-platform with modern Python tooling.

  4 1 MCP
• 42
  

  python-openstackmcp-server

  MCP server enabling AI-powered OpenStack cloud management

  python-openstackmcp-server implements the Model Context Protocol (MCP) to provide an interface for AI assistants to interact seamlessly with OpenStack cloud services. It supports the management of compute, image, identity, network, and block storage resources via the MCP standard, bridging the gap between AI clients and OpenStack APIs. The server connects to the OpenStack SDK and exposes capabilities such as authentication, configuration management, and resource operations for cloud environments.

  15 6 MCP
• 43
  

  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
• 44
  

  MCP GitLab Jira Server

  MCP server for seamless GitLab and Jira integration

  MCP GitLab Jira Server acts as a bridge, enabling AI agents to interact programmatically with GitLab and Jira instances via the Model Context Protocol. It provides a standardized server interface for operations on projects, merge requests, pipelines, branches, issues, releases, and users in GitLab, as well as tickets and project management features in Jira. The server can be run as a CLI tool or in a Docker container, making it compatible with tools like gemini-cli. Configuration via environment variables allows secure authentication and flexible deployment.

  6 4 MCP
• 45
  

  Multi Database MCP Server

  A unified server for structured, multi-database access via the Model Context Protocol.

  Multi Database MCP Server provides a standardized interface for AI assistants to access and manage multiple databases concurrently through the Model Context Protocol. It supports automatic tool generation for SQL queries, transactions, schema exploration, and performance analysis for each connected database. Built using Clean Architecture, it is fully compatible with OpenAI Agents SDK, enabling seamless integration. The platform simplifies configuration and interaction with MySQL and PostgreSQL databases in a robust, modular environment.

  304 49 MCP
• 46
  

  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
• 47
  

  QGISMCP

  Integrate QGIS with Claude AI via Model Context Protocol

  QGISMCP connects QGIS to Claude AI through the Model Context Protocol (MCP), enabling seamless two-way communication between the GIS platform and the AI assistant. It features a QGIS plugin that sets up a socket server and a dedicated MCP server for processing commands, facilitating tasks such as project manipulation, layer management, and Python code execution directly from Claude. This integration empowers users to streamline project creation, layer loading, and advanced automation within QGIS through AI-driven interaction.

  691 99 MCP
• 48
  

  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
• 49
  

  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
• 50
  

  MCP Atlassian

  AI-powered MCP server integrating Confluence and Jira workflows.

  MCP Atlassian serves as a Model Context Protocol (MCP) server interface for Atlassian products such as Confluence and Jira, supporting both cloud and server/data center deployments. It enables AI assistants to access, search, and update Atlassian data contextually via standardized MCP endpoints. The integration streamlines tasks like intelligent issue filtering, documentation creation, and context-driven updates directly through natural language. Multiple authentication modes, including API tokens and OAuth 2.0, are supported for secure connectivity.

  3,574 740 MCP