Telephony MCP Server - Alternatives & Competitors

MCP-based telephony server enabling LLMs to make voice calls and send SMS via Vonage.

Telephony MCP Server provides Model Context Protocol-based tools that allow integration of telephony operations, such as voice calls and SMS sending, with Large Language Model applications. Built with Python and leveraging the Vonage API, it exposes callable functions that LLMs can use to interact with the real world. The server defines tools like 'voice_call' and 'send_sms' for secure, programmatic communication via FastAPI interfaces. It is designed for agentic and tool-using AI systems to extend their operational capabilities beyond text generation.

#telephony #voice-calls #SMS #vonage #langchain #fastapi

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  • 1
    Didlogic MCP Server

    Didlogic MCP Server

    Standardized MCP interface for Didlogic API services

    Didlogic MCP Server provides a Model Context Protocol-compliant server that enables Large Language Models to interact with Didlogic services through a standardized interface. It supports multiple transport modes, including STDIO, HTTP, and SSE, and offers tools for managing SIP accounts, balances, IP restrictions, and transaction histories. The server ensures secure API access via environment variables or bearer tokens and is easily configurable for LLM platforms, such as Claude.

    3 5 MCP
  • 2
    FastMCP

    FastMCP

    The fast, Pythonic way to build MCP servers and clients.

    FastMCP is a production-ready framework for building Model Context Protocol (MCP) applications in Python. It streamlines the creation of MCP servers and clients, providing advanced features such as enterprise authentication, composable tools, OpenAPI/FastAPI generation, server proxying, deployment tools, and comprehensive client libraries. Designed for ease of use, it offers both standard protocol support and robust utilities for production deployments.

    20,201 1,488 MCP
  • 3
    HarmonyOS MCP Server

    HarmonyOS MCP Server

    Enables HarmonyOS device manipulation via the Model Context Protocol.

    HarmonyOS MCP Server provides an MCP-compatible server that allows programmatic control of HarmonyOS devices. It integrates with tools and frameworks such as OpenAI's openai-agents SDK and LangGraph to facilitate LLM-powered automation workflows. The server supports execution through standard interfaces and can be used with agent platforms to process natural language instructions for device actions. Its design allows for seamless interaction with HarmonyOS systems using the Model Context Protocol.

    25 8 MCP
  • 4
    TrackMage MCP Server

    TrackMage MCP Server

    Shipment and logistics tracking MCP server with multi-carrier support.

    TrackMage MCP Server implements the Model Context Protocol (MCP) to provide shipment tracking, logistics management, and API integration for over 1,600 carriers worldwide. It allows integration with major LLMs, supports resources such as workspaces, shipments, orders, carriers, and tracking statuses, and offers tools to create, update, and monitor shipments and orders. The server supports OAuth-based authentication, flexible configuration via environment variables, and can be deployed locally for customized logistics operations.

    1 4 MCP
  • 5
    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
  • 6
    MCP-Geo

    MCP-Geo

    Geocoding and reverse geocoding MCP server for LLMs.

    MCP-Geo provides geocoding and reverse geocoding capabilities to AI models using the Model Context Protocol, powered by the GeoPY library. It offers various tools such as address lookup, reverse lookup from coordinates, distance calculations, and batch processing of locations, all accessible via standard MCP tool interfaces. Safety features like rate limiting and robust error handling ensure reliable and compliant usage of geocoding services. The server is compatible with environments like Claude Desktop and can be easily configured elsewhere.

    28 4 MCP
  • 7
    Facebook MCP Server

    Facebook MCP Server

    AI-ready tools for managing and moderating Facebook Pages via the Graph API.

    Facebook MCP Server is a Model Context Protocol (MCP) server designed to automate and manage interactions on Facebook Pages through the Facebook Graph API. It offers a suite of tools accessible by AI agents or LLMs, enabling actions such as posting, moderating comments, retrieving analytics, and handling negative feedback. The platform is optimized for integration with agent clients like Claude Desktop, providing seamless, natural language-driven operations. By abstracting Facebook operations as callable functions, it empowers users to efficiently control and monitor their social media presence.

    64 26 MCP
  • 8
    PayPal Agent Toolkit

    PayPal Agent Toolkit

    Integrate PayPal APIs with popular agent frameworks using function calling.

    PayPal Agent Toolkit streamlines the integration of PayPal APIs with leading agent frameworks such as OpenAI's Agent SDK, LangChain, Vercel's AI SDK, and supports the Model Context Protocol (MCP). It provides TypeScript-based tools to enable function calling for invoices, payments, disputes, shipments, catalogs, subscriptions, and business insights. Designed to simplify the connection between agent-based AI workflows and PayPal services, it allows developers to configure and deploy complex financial and operational automation solutions.

    165 87 MCP
  • 9
    dicom-mcp

    dicom-mcp

    A Model Context Protocol server for managing and querying DICOM medical imaging data.

    dicom-mcp enables AI assistants and tools to query, read, and transfer data on DICOM servers, such as PACS and VNA systems. It integrates with MCP-compatible clients, offering tooling for searching patient records, retrieving medical reports, and sending image data to analysis endpoints. Configurable via YAML, it streamlines operations on DICOM databases for research and development in medical imaging. It is explicitly designed for interoperability with LLM-based AI workflows.

    74 21 MCP
  • 10
    YCloud WhatsApp API MCP Server

    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
  • 11
    WhatsApp MCP Server

    WhatsApp MCP Server

    Bridge WhatsApp messaging to Model Context Protocol-compliant LLM agents.

    WhatsApp MCP Server enables users to access, search, and interact with their personal WhatsApp messages through the Model Context Protocol. It connects to WhatsApp via the WhatsApp web multidevice API, stores messages locally in a SQLite database, and exposes them as tools to LLM-powered agents like Claude. Users can also send messages, media, and search contacts, all while retaining control over what is shared with the AI agent.

    5,056 786 MCP
  • 12
    Speech.sh

    Speech.sh

    Command-line text-to-speech utility with MCP integration using OpenAI's API.

    Speech.sh provides robust text-to-speech capabilities from the command line by leveraging OpenAI's API and offers Model Context Protocol (MCP) compatibility for integration with AI assistants. Supporting multiple voice options, adjustable speech speed, and both tts-1 and tts-1-hd models, it ensures seamless audio conversion and playback. Flexible API key management, auto-caching, and reliable retry logic make it suitable for diverse environments. Additional features include security-focused processing, dependency validation, and compatibility with both ffmpeg and mplayer audio players.

    5 1 MCP
  • 13
    vrchat-mcp

    vrchat-mcp

    A Model Context Protocol (MCP) server for structured VRChat API interaction.

    vrchat-mcp is an MCP server that enables structured and standardized interactions with the VRChat API. It offers a suite of tools to access and manage user, friend, avatar, world, group, favorite, invite, and notification data within VRChat. The server is designed for easy integration with applications like Claude Desktop and supports authentication, retrieval, and manipulation of key VRChat entities. It provides simple deployment and debugging options for developers.

    45 6 MCP
  • 14
    Kokoro Text to Speech MCP Server

    Kokoro Text to Speech MCP Server

    Text-to-speech server with optional S3 storage, built for Model Context Protocol environments.

    Kokoro Text to Speech MCP Server provides a text-to-speech API that generates MP3 audio files from text input, with support for multiple voices and speech parameters. It is designed for compatibility with Model Context Protocol (MCP), allowing for easy integration and configuration in MCP-based workflows. Generated audio files can be stored locally or uploaded to AWS S3, and the server includes client utilities for interaction, as well as configurable environment options for deployment. The solution leverages Hugging Face Kokoro-TTS models and supports both direct use and cloud-friendly workflows.

    67 14 MCP
  • 15
    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
  • 16
    Alby Bitcoin Payments MCP Server

    Alby Bitcoin Payments MCP Server

    Connect Bitcoin Lightning wallets to LLMs using Nostr Wallet Connect within the Model Context Protocol framework.

    Alby Bitcoin Payments MCP Server provides a way to integrate Bitcoin Lightning wallets with large language models (LLMs) via the Model Context Protocol (MCP). This server supports Nostr Wallet Connect (NWC), LNURL, and L402, enabling secure payment and authentication flows. Leveraging the official MCP TypeScript SDK along with Alby SDKs and tools, it allows agents and clients to interact with lightning wallets using various transport protocols like SSE and HTTP Streamable. The server can be integrated with tools such as Claude, Goose, and Cline for seamless wallet operations within AI workflows.

    36 9 MCP
  • 17
    Slack MCP Server

    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
  • 18
    ms-365-mcp-server

    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
  • 19
    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
  • 20
    iMessage MCP

    iMessage MCP

    MCP server enabling LLM integration with macOS iMessage data.

    iMessage MCP offers a Model Context Protocol (MCP) server that facilitates seamless integration between large language models (LLMs) and macOS iMessage data. It provides robust tools for searching and managing iMessage messages, conversations, and contacts in a read-only manner. Features include message and contact search, chat listing, and context retrieval, making it suitable for conversational agents and context-aware applications. Built using Deno and designed for easy integration with applications such as Claude Desktop, it handles context management efficiently for AI models.

    16 3 MCP
  • 21
    MCP Ping-Pong Server by Remote Call

    MCP Ping-Pong Server by Remote Call

    An experimental MCP-based Ping-Pong server leveraging FastAPI and FastMCP for remote calls.

    MCP Ping-Pong Server by Remote Call demonstrates the use of the Model Context Protocol (MCP) for handling command-based interactions via FastAPI. The project provides a backend powered by FastAPI and FastMCP, enabling remote MCP calls through API endpoints and Server-Sent Events (SSE). It includes thread-safe session management, command handling integration, and an interactive UI for engaging with ping, pong, and count operations. Designed as an educational tool, it showcases practical MCP usage for API-driven workflows.

    1 2 MCP
  • 22
    CallCenter.js MCP + CLI

    CallCenter.js MCP + CLI

    An MCP server and CLI tool for automated phone calls via VoIP.

    CallCenter.js MCP + CLI provides an MCP server, command-line tool, and TypeScript API that enable AI assistants like Claude to make phone calls on behalf of users using VoIP systems. It bridges OpenAI's Real-Time Voice API with SIP-compatible devices or services, supporting real-time voice interactions through standardized models. The tool allows direct control through MCP clients, CLI, or programmatic interfaces to automate and manage voice calls seamlessly. It supports multiple codecs and is compatible with popular VoIP hardware and services.

    12 4 MCP
  • 23
    Telegram MCP Server

    Telegram MCP Server

    Full-featured Telegram integration for MCP-compatible clients using Telethon.

    Telegram MCP Server enables programmatic interaction with Telegram through the Model Context Protocol (MCP). It allows automation of messaging, chat and group management, and other essential Telegram operations by exposing an extensive suite of tools via MCP. Designed for seamless integration with platforms like Claude and Cursor, the server is powered by Telethon and supports context-aware interactions with Telegram accounts.

    448 125 MCP
  • 24
    Carbon Voice MCP Server

    Carbon Voice MCP Server

    MCP server integration for Carbon Voice's conversational AI and voice messaging platform.

    Carbon Voice MCP Server implements the Model Context Protocol (MCP) to integrate AI assistants with Carbon Voice’s API, offering tools for managing voice messages, conversations, users, folders, and workspaces. It supports both local (Stdio) and cloud (HTTP) deployments, prioritizing security and compliance with OAuth 2.1, HTTPS, and other best practices. The server is compatible with clients like Cursor and Claude Desktop, enabling AI-driven workflows across different environments. Key functionalities include message management, AI prompt handling, user and conversation operations, and attachment support.

    4 4 MCP
  • 25
    Telegram MCP Server

    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
  • 26
    MCP Notify Server

    MCP Notify Server

    Send desktop notifications with sound for completed agent/LLM tasks using the MCP protocol.

    MCP Notify Server provides system desktop notifications and sound alerts when AI agent tasks or LLM jobs finish. Built on the standard Model Context Protocol, it is cross-platform and designed for smooth integration with clients like Claude Desktop, Cursor, and VSCode. This tool leverages the Apprise API for notification delivery and includes configuration details for easy adoption across popular AI/LLM development environments.

    39 9 MCP
  • 27
    AgentMail Toolkit

    AgentMail Toolkit

    Integrates agent frameworks and protocols with AgentMail API for seamless interoperability.

    AgentMail Toolkit provides seamless integration of popular agent frameworks and protocols, including the Model Context Protocol (MCP), OpenAI Agents SDK, and Vercel AI SDK, with the AgentMail API. It supports both Python and Node environments, enabling developers to build and manage agent workflows across different platforms and standards.

    32 7 MCP
  • 28
    iMessage Query MCP Server

    iMessage Query MCP Server

    Securely query and analyze your iMessage history with LLMs using the Model Context Protocol.

    iMessage Query MCP Server is an MCP-compliant server that provides safe access to the macOS iMessage database for Large Language Models (LLMs). Built with the FastMCP framework and imessagedb library, it enables querying, validation, and analysis of iMessage conversations, complete with proper phone number handling and permissions management. The tool integrates seamlessly with MCP clients such as Claude Desktop and CLine for VSCode, allowing for controlled retrieval of chat histories via standardized protocols. Enhanced security features and automated dependency management ensure a smooth and safe user experience.

    71 13 MCP
  • 29
    Infobip MCP Servers

    Infobip MCP Servers

    Build AI agents that connect to Infobip services via the Model Context Protocol.

    Infobip MCP Servers enable AI agents to interact with the Infobip platform using the Model Context Protocol (MCP), supporting communication across various channels like SMS, WhatsApp, Viber, and RCS. The project provides production-grade, remote MCP servers with streamable HTTP and SSE transport options, facilitating messaging, 2FA, customer data management, and user account control. Standardized endpoints and authentication options, including API keys and OAuth 2.1, ensure secure and scalable integration. Usage examples and configuration guides are included for popular agent frameworks.

    20 2 MCP
  • 30
    MaxMSP-MCP Server

    MaxMSP-MCP Server

    Bridge LLMs with Max patches via Model Context Protocol

    MaxMSP-MCP Server enables large language models to understand, explain, and generate Max patches by leveraging the Model Context Protocol. It connects LLM agents with MaxMSP environments, providing access to documentation and patch objects for detailed interaction. Installation includes both a Python server and Max environment integration, facilitating seamless Python-Max communication. The tool supports explaining patches, debugging, and synthesizer creation directly through LLM interfaces.

    106 12 MCP
  • 31
    cloudflare/mcp-server-cloudflare

    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
  • 32
    OpenMCP

    OpenMCP

    A standard and registry for converting web APIs into MCP servers.

    OpenMCP defines a standard for converting various web APIs into servers compatible with the Model Context Protocol (MCP), enabling efficient, token-aware communication with client LLMs. It also provides an open-source registry of compliant servers, allowing clients to access a wide array of external services. The platform supports integration with local and remote hosting environments and offers tools for configuring supported clients, such as Claude desktop and Cursor. Comprehensive guidance is offered for adapting different API formats including REST, gRPC, GraphQL, and more into MCP endpoints.

    252 27 MCP
  • 33
    ntfy-me-mcp

    ntfy-me-mcp

    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.

    48 11 MCP
  • 34
    mcp

    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
  • 35
    mcp-server-templates

    mcp-server-templates

    Deploy Model Context Protocol servers instantly with zero configuration.

    MCP Server Templates enables rapid, zero-configuration deployment of production-ready Model Context Protocol (MCP) servers using Docker containers and a comprehensive CLI tool. It provides a library of ready-made templates for common integrations—including filesystems, GitHub, GitLab, and Zendesk—and features intelligent caching, smart tool discovery, and flexible configuration options via JSON, YAML, environment variables, or CLI. Perfect for AI developers, data scientists, and DevOps teams, it streamlines the process of setting up and managing MCP servers and has evolved into the MCP Platform for enhanced capabilities.

    5 1 MCP
  • 36
    MCP Nutanix

    MCP Nutanix

    An MCP server enabling LLM access to Nutanix Prism Central APIs.

    MCP Nutanix is an experimental Model Context Protocol (MCP) server that allows large language models to interact with Nutanix Prism Central APIs. It facilitates listing and accessing resources such as VMs, clusters, and hosts via standardized MCP client-server integration, using the Prism Go Client for backend communication. The implementation supports both interactive and static credential methods, making it compatible with various MCP clients including Claude and Cursor.

    11 5 MCP
  • 37
    PythonAnywhere Model Context Protocol Server

    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
  • 38
    Outsource MCP

    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
  • 39
    Cal.com FastMCP Server

    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
  • 40
    MCP Rubber Duck

    MCP Rubber Duck

    A bridge server for querying multiple OpenAI-compatible LLMs through the Model Context Protocol.

    MCP Rubber Duck acts as an MCP (Model Context Protocol) server that enables users to query and manage multiple OpenAI-compatible large language models from a unified API. It supports parallel querying of various providers, context management across sessions, failover between providers, and response caching. This tool is designed for debugging and experimentation by allowing users to receive diverse AI-driven perspectives from different model endpoints.

    56 7 MCP
  • 41
    Mattermost MCP Host

    Mattermost MCP Host

    Connects Mattermost to MCP servers, enabling AI agent-powered tool orchestration within chat.

    Mattermost MCP Host integrates the Model Context Protocol (MCP) with Mattermost, utilizing a LangGraph-based AI agent to facilitate seamless user interaction and dynamic tool execution directly in chat. It supports integration with multiple MCP servers, automatically discovers available tools, and allows users to issue commands or natural language requests. Conversational context is maintained in threads, and users can interact directly with MCP servers to manage resources and capabilities.

    27 16 MCP
  • 42
    Mac Messages MCP

    Mac Messages MCP

    Python bridge for macOS Messages via Model Context Protocol.

    Mac Messages MCP enables seamless interaction with the macOS Messages app through the Model Context Protocol (MCP). It allows sending and reading messages, intelligently switching between iMessage and SMS/RCS depending on the recipient. The tool is designed for integration with platforms like Cursor and Claude Desktop, supporting features such as contact filtering, fuzzy search, message history access, and iMessage detection. Full Disk Access permission is required, and it can also be connected to Docker containers via a proxy.

    180 22 MCP
  • 43
    magg

    magg

    Meta-MCP aggregator and manager for LLM capability extension.

    Magg is a server that implements the Model Context Protocol (MCP), acting as a central aggregator and proxy for multiple MCP servers. It enables Large Language Models (LLMs) to dynamically discover, add, configure, and manage external tools at runtime. By aggregating tools from different MCP servers under unified namespaces, it streamlines capability management and introduces features such as configuration persistence, authentication, and real-time notifications. Magg offers both command-line and Docker deployment, with support for HTTP, stdio, and in-memory transport.

    62 14 MCP
  • 44
    awslabs/mcp

    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
  • 45
    mcpmcp-server

    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
  • 46
    books-mcp-server

    books-mcp-server

    A server implementation supporting Model Context Protocol integration with cherry-studio.

    books-mcp-server allows users to set up a Model Context Protocol (MCP) compliant server for managing and interacting with AI models. It enables integration with cherry-studio through STDIO commands and structured server configurations. The tool provides straightforward setup instructions and supports launching the server with customizable parameters, making it suitable for various AI context management tasks.

    5 2 MCP
  • 47
    MCP-Twikit

    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
  • 48
    NebulaBlock API MCP Server

    NebulaBlock API MCP Server

    Expose NebulaBlock API as tools for MCP-compatible environments

    NebulaBlock API MCP Server provides an implementation of the Model Context Protocol (MCP), enabling seamless integration of the NebulaBlock API as accessible tools. It leverages the fastmcp library and supports both command-line and environment variable API key configuration. Designed with MCP compatibility in mind, it offers a server interface for programmatic and tool-based interactions within any MCP-compliant system.

    1 2 MCP
  • 49
    Tilt MCP Server

    Tilt MCP Server

    Programmatic Access to Tilt via Model Context Protocol for LLMs

    Tilt MCP Server provides Model Context Protocol (MCP) capabilities to enable seamless integration between Tilt—an environment for managing Docker/Kubernetes workloads—and large language model (LLM) applications. It allows LLMs and AI assistants to interact programmatically with Tilt resources, retrieve logs, monitor status, trigger actions, and utilize guided workflows. The server exposes standardized resources, tools, and prompts for intelligent management and automation of Tilt-based development environments.

    2 1 MCP
  • 50
    1mcp-app/agent

    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

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