ntfy-me-mcp - Alternatives & Competitors

Send real-time notifications from AI assistants to your devices using ntfy and the Model Context Protocol.

ntfy-me-mcp implements a streamlined Model Context Protocol (MCP) server, enabling AI assistants to send real-time notifications to user devices through the ntfy service. It supports both public and self-hosted ntfy instances with token authentication, allowing integration into various AI workflows. The server automatically detects URLs for interactive actions and applies smart markdown formatting to craft rich notifications suitable for important events and task updates.

#notifications #real-time #webhooks #ntfy integration #AI assistant integration #automation

Ranked by Relevance

  • 1
    ntfy-mcp

    ntfy-mcp

    Task completion notifications for AI assistants via ntfy.

    ntfy-mcp integrates with the Model Context Protocol to provide real-time notifications via ntfy when AI assistants complete tasks. It serves as an MCP server, keeping users informed without needing to constantly monitor progress. The application supports flexible configuration, is built in Node.js, and works seamlessly with the ntfy mobile app for simple, customizable push alerts.

    43 4 MCP
  • 2
    Taskade MCP

    Taskade MCP

    Tools and server for Model Context Protocol workflows and agent integration

    Taskade MCP provides an official server and tools to implement and interact with the Model Context Protocol (MCP), enabling seamless connectivity between Taskade’s API and MCP-compatible clients such as Claude or Cursor. It includes utilities for generating MCP tools from any OpenAPI schema and supports the deployment of autonomous agents, workflow automation, and real-time collaboration. The platform promotes extensibility by supporting integration via API, OpenAPI, and MCP, making it easier to build and connect agentic systems.

    90 20 MCP
  • 3
    dbt MCP Server

    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
  • 4
    deploy-mcp

    deploy-mcp

    Universal Deployment Tracker for AI Assistants

    deploy-mcp offers a universal tool for tracking and monitoring deployments across various platforms within AI conversation environments. It eliminates the need for dashboard navigation by integrating deployment status and management directly into AI assistants via a standardized protocol. The tool supports multiple platforms such as Vercel, Netlify, and Cloudflare Pages, allowing for real-time monitoring and multi-platform configuration using secure tokens. Its streamlined setup enables users to check deployment status, view logs, and monitor progress through conversational commands.

    3 2 MCP
  • 5
    Airtable MCP Server

    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
  • 6
    Notion MCP Server

    Notion MCP Server

    Enable LLMs to interact with Notion using the Model Context Protocol.

    Notion MCP Server allows large language models to interface with Notion workspaces through a Model Context Protocol server, supporting both data retrieval and editing capabilities. It includes experimental Markdown conversion to optimize token usage for more efficient communication with LLMs. The server can be configured with environment variables and controlled for specific tool access. Integration with applications like Claude Desktop is supported for seamless automation.

    834 154 MCP
  • 7
    Flipt MCP Server

    Flipt MCP Server

    MCP server for Flipt, enabling AI assistants to manage and evaluate feature flags.

    Flipt MCP Server is an implementation of the Model Context Protocol (MCP) that provides AI assistants with the ability to interact with Flipt feature flags. It enables listing, creating, updating, and deleting various flag-related entities, as well as flag evaluation and management. The server supports multiple transports, is configurable via environment variables, and can be deployed via npm or Docker. Designed for seamless integration with MCP-compatible AI clients.

    2 7 MCP
  • 8
    Pica MCP Server

    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
    MCP Simple Timeserver

    MCP Simple Timeserver

    Provides local and UTC time to AI models via the Model Context Protocol.

    MCP Simple Timeserver provides current local time, timezone, and UTC information to AI models such as Claude by serving as a Model Context Protocol (MCP) tool. It offers two main endpoints: one for retrieving the user's local time and timezone, and another for fetching the current UTC time from an NTP server. The project supports both local and web server deployments and can be integrated into the Claude desktop app to enhance temporal awareness for LLMs.

    25 15 MCP
  • 10
    LINE Bot MCP Server

    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
  • 11
    interactive-mcp

    interactive-mcp

    Enable interactive, local communication between LLMs and users via MCP.

    interactive-mcp implements a Model Context Protocol (MCP) server in Node.js/TypeScript, allowing Large Language Models (LLMs) to interact directly with users on their local machine. It exposes tools for requesting user input, sending notifications, and managing persistent command-line chat sessions, facilitating real-time communication. Designed for integration with clients like Claude Desktop and VS Code, it operates locally to access OS-level notifications and command prompts. The project is suited for interactive workflows where LLMs require user involvement or confirmation.

    313 25 MCP
  • 12
    TickTick MCP

    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
  • 13
    Authenticator App MCP Server

    Authenticator App MCP Server

    Secure MCP server for AI-assisted access to 2FA codes and passwords.

    Authenticator App MCP Server provides a secure Model Context Protocol (MCP) server enabling AI agents to interact with authentication credentials, such as 2FA codes and passwords. It facilitates automated login processes for AI assistants while maintaining robust security by requiring access tokens and integrating with the Authenticator App desktop client. This solution streamlines the management of user credentials across multiple platforms and websites, ensuring seamless and secure credential retrieval by AI agents.

    27 10 MCP
  • 14
    Jupyter MCP Server

    Jupyter MCP Server

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

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

    765 127 MCP
  • 15
    Godot MCP

    Godot MCP

    A Model Context Protocol (MCP) server implementation using Godot and Node.js.

    Godot MCP implements the Model Context Protocol (MCP) as a server, leveraging the Godot game engine along with Node.js and TypeScript technologies. Designed for seamless integration and efficient context management, it aims to facilitate standardized communication between AI models and applications. This project offers a ready-to-use MCP server for developers utilizing Godot and modern JavaScript stacks.

    1,071 124 MCP
  • 16
    Flowcore Platform MCP Server

    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
  • 17
    mcp-server-home-assistant

    mcp-server-home-assistant

    A Model Context Protocol Server integration for Home Assistant.

    Provides an MCP server interface for Home Assistant, enabling context sharing between Home Assistant and AI models through the Model Context Protocol. Allows users to connect Claude Desktop and similar tools to Home Assistant via a WebSocket API and secure API token. Facilitates seamless integration by leveraging a custom Home Assistant component that is migrating into Home Assistant Core. Enables access and manipulation of smart home context data in standardized ways.

    64 8 MCP
  • 18
    Firefly MCP Server

    Firefly MCP Server

    Seamless resource discovery and codification for Cloud and SaaS with Model Context Protocol integration.

    Firefly MCP Server is a TypeScript-based server implementing the Model Context Protocol to enable integration with the Firefly platform for discovering and managing resources across Cloud and SaaS accounts. It supports secure authentication, resource codification into infrastructure as code, and easy integration with tools such as Claude and Cursor. The server can be configured via environment variables or command line and communicates using standardized MCP interfaces. Its features facilitate automation and codification workflows for cloud resource management.

    15 6 MCP
  • 19
    Discord MCP

    Discord MCP

    Seamlessly integrate AI and Discord through the Model Context Protocol.

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

    116 23 MCP
  • 20
    MetaTrader MCP Server

    MetaTrader MCP Server

    Let AI assistants trade for you using natural language.

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

    120 34 MCP
  • 21
    mcp-confluent

    mcp-confluent

    MCP server for managing Confluent Cloud resources via natural language.

    mcp-confluent is a Model Context Protocol (MCP) server implementation designed to enable natural language interaction with Confluent Cloud REST APIs. It integrates with AI tools such as Claude Desktop and Goose CLI, allowing users to manage Kafka topics, connectors, and Flink SQL statements conversationally. The project offers flexible configuration, CLI usage, and supports various transports for secure and customizable operations.

    115 36 MCP
  • 22
    Open Feishu MCP Server

    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
  • 23
    MCP Atlassian

    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
  • 24
    cryptopanic-mcp-server

    cryptopanic-mcp-server

    Provides real-time cryptocurrency news to AI agents via Model Context Protocol.

    cryptopanic-mcp-server delivers up-to-date cryptocurrency news to AI agents by integrating with the CryptoPanic API. It exposes an MCP-compliant server with a tool for fetching news or media headlines, supporting customization via API keys and configuration files. The implementation is intended for streamlined context integration into AI workflows, enhancing agent awareness with current crypto market updates.

    59 23 MCP
  • 25
    Model Context Protocol Server for Home Assistant

    Model Context Protocol Server for Home Assistant

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

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

    468 41 MCP
  • 26
    mcp-server-atlassian-confluence

    mcp-server-atlassian-confluence

    Seamlessly connect AI assistants to your Atlassian Confluence knowledge base.

    Enables integration of AI assistants like Claude and Cursor AI directly with Atlassian Confluence, allowing users to interact with their documentation and knowledge base using natural language queries. Supports instant answers, search across all spaces, and access to specific Confluence content and discussions. Follows the Model Context Protocol (MCP) for standardized model context management and easy configuration with various AI assistants via STDIO transport or config files.

    39 20 MCP
  • 27
    Neovim MCP Server

    Neovim MCP Server

    Connect AI assistants to Neovim via the Model Context Protocol.

    Neovim MCP Server enables seamless integration between Neovim instances and AI assistants by implementing the Model Context Protocol (MCP). It allows for multi-connection management, supports both stdio and HTTP server transport modes, and provides access to structured diagnostic information via URI schemes. With LSP integration, plugin support, and an extensible tool system, it facilitates advanced interaction with Neovim for context-aware AI workflows.

    20 3 MCP
  • 28
    Markdownify MCP Server

    Markdownify MCP Server

    Convert diverse files and web content into Markdown via the Model Context Protocol.

    Markdownify MCP Server offers a protocol-based server that transforms various file types—including PDF, images, audio, DOCX, XLSX, and PPTX—as well as web content like YouTube videos, Bing search results, and web pages into Markdown format. The server exposes a suite of conversion tools through a standardized interface for easy integration with applications. Optional configuration allows retrieval of Markdown files from restricted directories, and the platform supports development customization for additional tool integration. Deployment and operation are straightforward with cross-platform support (with pending Windows improvements).

    2,256 188 MCP
  • 29
    CircleCI MCP Server

    CircleCI MCP Server

    Enable LLM-driven automation for CircleCI with the Model Context Protocol.

    CircleCI MCP Server is an implementation of the Model Context Protocol (MCP) designed to bridge CircleCI with large language models and AI assistants. It supports integration with tools like Cursor IDE, Windsurf, Copilot, and VS Code, allowing users to interact with CircleCI using natural language. The server can be deployed locally via NPX or Docker and remotely, making CircleCI workflows accessible and manageable through standardized protocol operations.

    69 38 MCP
  • 30
    TickTick MCP Server

    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
  • 31
    Globalping MCP Server

    Globalping MCP Server

    Enable AI models to run network tests globally via natural language.

    Globalping MCP Server implements the Model Context Protocol, enabling AI models to interface with a global network measurement platform through natural language. It allows AI clients to perform network diagnostic tests such as ping, traceroute, DNS, MTR, and HTTP from thousands of locations worldwide. The server offers AI-friendly context handling, detailed parameter descriptions, comparative analysis of network performance, and supports secure authentication using OAuth or API tokens.

    33 3 MCP
  • 32
    Mastra

    Mastra

    A TypeScript framework for building scalable AI-powered agents and applications.

    Mastra is a modern TypeScript-based framework designed for developing AI-powered applications and autonomous agents. It offers model routing to integrate over 40 AI providers, a graph-based workflow engine, advanced context management, and production-ready tools for observability and evaluation. Mastra features built-in support for authoring Model Context Protocol (MCP) servers, enabling standardized exposure of agents, tools, and structured AI resources via the MCP interface.

    18,189 1,276 MCP
  • 33
    MCP Fathom Analytics

    MCP Fathom Analytics

    Unofficial MCP server for AI-powered access to Fathom Analytics data.

    MCP Fathom Analytics provides an unofficial Model Context Protocol (MCP) server that enables AI assistants to access and interact with Fathom Analytics data. It integrates with the Fathom Analytics API via the @mackenly/fathom-api SDK, offering tools to retrieve account details, manage sites, list events, generate analytics reports, and access real-time visitor data. Designed for use in AI model workflows, it allows secure and flexible analytics integration and supports configuration for clients such as Claude Desktop.

    2 5 MCP
  • 34
    GitMCP

    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
  • 35
    Meta Ads MCP

    Meta Ads MCP

    AI-powered Meta Ads campaign analysis and management via MCP

    Meta Ads MCP is a Model Context Protocol (MCP) server for managing, analyzing, and optimizing Meta advertising campaigns. It enables AI interfaces, such as LLMs, to retrieve ad performance data, visualize creatives, and provide strategic insights across Facebook, Instagram, and related platforms. The solution supports integration with platforms like Claude and Cursor, leveraging Meta's public APIs to deliver actionable insights and campaign management capabilities. Authentication options include interactive login and token-based flows for various MCP clients.

    342 86 MCP
  • 36
    mcp-installer

    mcp-installer

    Automated installer for MCP servers across multiple languages.

    mcp-installer provides a server that automates the installation of other Model Context Protocol (MCP) servers. It supports installation of MCP servers hosted on npm and PyPi by leveraging tools like npx and uv. The tool is designed to integrate with AI assistants like Claude, enabling users to request remote installations of MCP servers with custom arguments and environment configurations. Its primary goal is to simplify the deployment and management of MCP-compliant servers for various workflows.

    1,457 193 MCP
  • 37
    Crypto News MCP Server

    Crypto News MCP Server

    Real-time cryptocurrency news and summaries for AI agents via Model Context Protocol.

    Crypto News MCP Server provides real-time cryptocurrency news and article search services to AI agents using the Model Context Protocol. It aggregates news from NewsData and exposes tools for fetching the latest headlines, keyword-based article search with pagination, and prompt generation for LLM-powered summarization. The server is compatible with MCP clients and can be integrated as a plugin for platforms like Claude Desktop.

    10 5 MCP
  • 38
    Remote-MCP

    Remote-MCP

    A type-safe, bidirectional system for remote Model Context Protocol communication.

    Remote-MCP provides a simple and secure way to enable remote access to and centralized management of model contexts using the Model Context Protocol. It bridges local MCP clients with remote MCP servers, supporting a modular architecture via tRPC over HTTP. The tool allows integration both as a client and a server, catering to real-time remote access needs ahead of the official MCP roadmap.

    200 29 MCP
  • 39
    MCP Server for Iaptic

    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
  • 40
    mcp-difyworkflow-server

    mcp-difyworkflow-server

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

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

    58 14 MCP
  • 41
    Webvizio MCP Server

    Webvizio MCP Server

    Bridge between Webvizio feedback and AI coding agents via the Model Context Protocol

    Webvizio MCP Server is a TypeScript-based server implementing the Model Context Protocol to securely and efficiently interface with the Webvizio API. It transforms web page feedback and bug reports into structured, actionable developer tasks, providing AI coding agents with comprehensive task context and data. It offers methods to fetch project and task details, retrieve logs and screenshots, and manage task statuses. The server standardizes communication between Webvizio and AI agent clients, facilitating automated issue resolution.

    4 4 MCP
  • 42
    Crypto Trending MCP Server

    Crypto Trending MCP Server

    Real-time trending cryptocurrency data via Model Context Protocol tools.

    Crypto Trending MCP Server tracks and monitors the latest trending tokens on CoinGecko, providing real-time insights into the most popular cryptocurrencies. It exposes MCP tools and prompts, such as a Markdown generator for trending token data and a parser prompt for extracting and analyzing the results with AI models. The solution is built for seamless integration with clients like Claude Desktop and allows natural language querying of current crypto trends. Its lightweight and extensible design supports easy deployment and extension.

    6 5 MCP
  • 43
    @bldbl/mcp

    @bldbl/mcp

    Official MCP client for integrating AI assistants with Buildable projects.

    @bldbl/mcp enables AI assistants like Claude and GPT to directly interact with Buildable projects using the Model Context Protocol (MCP). It provides full project context, smart task management, real-time progress tracking, and facilitates seamless communication between AI and human developers. TypeScript support and CLI tools ensure robust integration, making it ready for platforms like Claude Desktop and Cursor AI. The tool simplifies AI-driven project management and collaboration in software development.

    8 7 MCP
  • 44
    Zettelkasten MCP Server

    Zettelkasten MCP Server

    A Zettelkasten-based knowledge management system implementing the Model Context Protocol.

    Zettelkasten MCP Server provides an implementation of the Zettelkasten note-taking methodology, enriched with bidirectional linking, semantic relationships, and categorization of notes. It enables creation, exploration, and synthesis of atomic knowledge using MCP for AI-assisted workflows. The system integrates with clients such as Claude and supports markdown, advanced search, and a structured prompt framework for large language models. The dual storage architecture and synchronous operation model ensure flexibility and reliability for managing personal or collaborative knowledge bases.

    114 21 MCP
  • 45
    AIM Guard MCP

    AIM Guard MCP

    AI-powered security and safety server for Model Context Protocol environments.

    AIM Guard MCP is a server implementing the Model Context Protocol (MCP), providing AI-powered security analysis and safety instruction tools tailored for AI agents. It offers features such as contextual security instructions, harmful content detection, API key scanning, and prompt injection detection, all designed to guard and protect interactions with various MCPs and external services. Built for fast integration, it connects with the AIM Intelligence API and is compatible with any MCP-compliant AI assistant.

    13 11 MCP
  • 46
    Docker Hub MCP Server

    Docker Hub MCP Server

    Expose Docker Hub APIs to LLMs via the Model Context Protocol.

    The Docker Hub MCP Server implements the Model Context Protocol (MCP) to make Docker Hub APIs accessible to large language models, enabling AI-powered discovery and management of container images and repositories. It provides an interface for LLMs to access real-time Docker Hub data, recommend images, and streamline developer workflows. The server supports both public and private repositories through configurable authentication, and can be integrated with AI assistants like Gordon and clients such as Claude Desktop.

    83 61 MCP
  • 47
    mcp-recon

    mcp-recon

    Conversational reconnaissance interface and MCP server for HTTP and ASN analysis.

    mcp-recon acts as a conversational interface and Model Context Protocol (MCP) server, enabling seamless web domain and ASN reconnaissance through natural language prompts. It integrates powerful tooling like httpx and asnmap to conduct lightweight or full HTTP analysis and ASN lookups, exposing these capabilities to any MCP-compatible AI assistant. With predefined prompts and Docker-based deployment, it streamlines infrastructure analysis via AI interfaces such as Claude Desktop.

    22 5 MCP
  • 48
    mcp-server-atlassian-bitbucket

    mcp-server-atlassian-bitbucket

    Seamlessly connect AI assistants to your Bitbucket repositories for smart code insights and workflow automation.

    mcp-server-atlassian-bitbucket enables direct integration of AI assistants such as Claude and Cursor AI with Bitbucket repositories, pull requests, and code. It provides instant code insights, automates code reviews, and supports a variety of repository management actions via natural language commands. The tool utilizes Model Context Protocol (MCP) to standardize AI interaction with repository context data. It offers support for Bitbucket's new Scoped API Tokens and legacy app passwords for authentication.

    84 39 MCP
  • 49
    FastMCP

    FastMCP

    TypeScript framework for building robust MCP servers with minimal setup.

    FastMCP is a TypeScript framework designed for building servers that adhere to the Model Context Protocol (MCP), enabling efficient management of client sessions and context. It streamlines the creation of MCP servers by providing intuitive APIs, built-in authentication, session and request tracking, and support for handling various content types such as images and audio. The framework also enforces best practices around error handling, logging, and streaming outputs. Developers benefit from reduced boilerplate and a focus on core MCP functionality.

    2,738 231 MCP
  • 50
    Prometheus MCP Server

    Prometheus MCP Server

    Access and analyze Prometheus metrics through standardized MCP interfaces.

    Prometheus MCP Server enables seamless access to Prometheus metrics by providing a standardized Model Context Protocol (MCP) interface. It allows AI assistants and compatible clients to execute PromQL queries, discover and explore metric data, and retrieve instant or range-based results. The server supports authentication via basic and bearer token mechanisms and can be easily deployed via Docker or integrated into multiple development environments.

    282 64 MCP

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