Telegram MCP Server - Alternatives & Competitors

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.

#Telegram #Messaging Integration #automation #Chat Management #Communication Bridge #cross-platform

Ranked by Relevance

  • 1
    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
  • 2
    Kanboard MCP Server

    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
  • 3
    TeslaMate MCP Server

    TeslaMate MCP Server

    Query your TeslaMate data using the Model Context Protocol

    TeslaMate MCP Server implements the Model Context Protocol to enable AI assistants and clients to securely access and query Tesla vehicle data, statistics, and analytics from a TeslaMate PostgreSQL database. The server exposes a suite of tools for retrieving vehicle status, driving history, charging sessions, battery health, and more using standardized MCP endpoints. It supports local and Docker deployments, includes bearer token authentication, and is intended for integration with MCP-compatible AI systems like Claude Desktop.

    106 14 MCP
  • 4
    Weblate MCP Server

    Weblate MCP Server

    Seamlessly connect AI assistants to Weblate for translation management via the Model Context Protocol.

    Weblate MCP Server enables AI assistants and clients to directly manage Weblate translation projects through the Model Context Protocol (MCP). It integrates with the Weblate REST API, allowing natural language interaction for project and translation management. The tool offers multiple transport options including HTTP, SSE, and STDIO, and is optimized for large language model workflows. Full support for project, component, and translation operations is provided, with a focus on type safety and flexible environment configuration.

    9 5 MCP
  • 5
    CipherTrust Manager MCP Server

    CipherTrust Manager MCP Server

    Enables AI assistants to access CipherTrust Manager securely via the Model Context Protocol.

    CipherTrust Manager MCP Server provides an implementation of the Model Context Protocol (MCP), offering AI assistants such as Claude and Cursor a unified interface to interact with CipherTrust Manager resources. Communication is facilitated through JSON-RPC over stdin/stdout, enabling key management, CTE client management, user management, and connection management functionalities. The tool is configurable via environment variables and integrates with existing CipherTrust Manager instances using the ksctl CLI for secure resource access.

    7 4 MCP
  • 6
    mcp-get

    mcp-get

    A command-line tool for discovering, installing, and managing Model Context Protocol servers.

    mcp-get is a CLI tool designed to help users discover, install, and manage Model Context Protocol (MCP) servers. It enables seamless integration of Large Language Models (LLMs) with various external data sources and tools by utilizing a standardized protocol. The tool provides access to a curated registry of MCP servers and supports installation and management across multiple programming languages and environments. Although now archived, mcp-get simplifies environment variable management, package versioning, and server updates to enhance the LLM ecosystem.

    497 103 MCP
  • 7
    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
  • 8
    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
  • 9
    Insforge MCP Server

    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
  • 10
    Teamwork MCP Server

    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
  • 11
    MCP Teams Server

    MCP Teams Server

    Model Context Protocol server implementation for Microsoft Teams integration.

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

    331 27 MCP
  • 12
    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
  • 13
    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
  • 14
    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
  • 15
    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
  • 16
    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
  • 17
    Make MCP Server (legacy)

    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
  • 18
    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
  • 19
    Lara Translate MCP Server

    Lara Translate MCP Server

    Context-aware translation server implementing the Model Context Protocol.

    Lara Translate MCP Server enables AI applications to seamlessly access professional translation services via the standardized Model Context Protocol. It supports features such as language detection, context-aware translations, and translation memory integration. The server acts as a secure bridge between AI models and Lara Translate, managing credentials and facilitating structured translation requests and responses.

    76 13 MCP
  • 20
    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
  • 21
    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
  • 22
    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
  • 23
    Offorte MCP Server

    Offorte MCP Server

    Bridge AI agents with Offorte proposal automation via the Model Context Protocol.

    Offorte MCP Server enables external AI models to create and send proposals through Offorte by implementing the Model Context Protocol. It facilitates automation workflows between AI agents and Offorte's proposal engine, supporting seamless integration with chat interfaces and autonomous systems. The server provides a suite of tools for managing contacts, proposals, templates, and automation sets, streamlining the proposal creation and delivery process via standardized context handling. Designed for extensibility and real-world automation, it leverages Offorte's public API to empower intelligent business proposals.

    4 4 MCP
  • 24
    MCP Server for TheHive

    MCP Server for TheHive

    Connect AI-powered automation tools to TheHive incident response platform via MCP.

    MCP Server for TheHive enables AI models and automation clients to interact with TheHive incident response platform using the Model Context Protocol. It provides tools to retrieve and analyze security alerts, manage cases, and automate incident response operations. The server facilitates seamless integration by exposing these functionalities over the standardized MCP protocol through stdio communication. It offers both pre-compiled binaries and a source build option with flexible configuration for connecting to TheHive instances.

    11 3 MCP
  • 25
    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
  • 26
    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
  • 27
    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
  • 28
    MCP Language Server

    MCP Language Server

    Bridge codebase navigation tools to AI models using MCP-enabled language servers.

    MCP Language Server implements the Model Context Protocol, allowing MCP-enabled clients, such as LLMs, to interact with language servers for codebase navigation. It exposes standard language server features—like go to definition, references, rename, and diagnostics—over MCP for seamless integration with AI tooling. The server supports multiple languages by serving as a proxy to underlying language servers, including gopls, rust-analyzer, and pyright.

    1,256 94 MCP
  • 29
    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
  • 30
    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
  • 31
    MCP CLI

    MCP CLI

    A powerful CLI for seamless interaction with Model Context Protocol servers and advanced LLMs.

    MCP CLI is a modular command-line interface designed for interacting with Model Context Protocol (MCP) servers and managing conversations with large language models. It integrates with the CHUK Tool Processor and CHUK-LLM to provide real-time chat, interactive command shells, and automation capabilities. The system supports a wide array of AI providers and models, advanced tool usage, context management, and performance metrics. Rich output formatting, concurrent tool execution, and flexible configuration make it suitable for both end-users and developers.

    1,755 299 MCP
  • 32
    Thales CDSP CRDP MCP Server

    Thales CDSP CRDP MCP Server

    MCP server enabling secure data protection and revelation with Thales CipherTrust CRDP

    Thales CDSP CRDP MCP Server implements the Model Context Protocol (MCP) to allow AI applications and LLMs to securely protect and reveal sensitive data via Thales CipherTrust RestFul Data Protection (CRDP) service. The server supports both stdio and HTTP transports, individual and bulk data operations, and robust versioning support. Features include health checks, metrics collection, and integration with protection policies and JWT-based authorization.

    2 3 MCP
  • 33
    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
  • 34
    mcp-server-chatsum

    mcp-server-chatsum

    Summarize and query chat messages using the MCP Server protocol.

    mcp-server-chatsum is an MCP Server designed to summarize and query chat messages. It provides tools to interact with chat data, enabling users to extract and summarize message content based on specified prompts. The server can be integrated with Claude Desktop and supports communication over stdio, offering dedicated debugging tools via the MCP Inspector. Environment variable support and database integration ensure flexible deployment for chat data management.

    1,024 99 MCP
  • 35
    Aiven MCP Server

    Aiven MCP Server

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

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

    11 11 MCP
  • 36
    Supabase MCP Server

    Supabase MCP Server

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

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

    2,263 253 MCP
  • 37
    Multi-Database MCP Server (by Legion AI)

    Multi-Database MCP Server (by Legion AI)

    Unified multi-database access and AI interaction server with MCP integration.

    Multi-Database MCP Server enables seamless access and querying of diverse databases via a unified API, with native support for the Model Context Protocol (MCP). It supports popular databases such as PostgreSQL, MySQL, SQL Server, and more, and is built for integration with AI assistants and agents. Leveraging the MCP Python SDK, it exposes databases as resources, tools, and prompts for intelligent, context-aware interactions, while delivering zero-configuration schema discovery and secure credential management.

    76 19 MCP
  • 38
    Agentset MCP

    Agentset MCP

    Open-source MCP server for Retrieval-Augmented Generation (RAG) document applications.

    Agentset MCP provides a Model Context Protocol (MCP) server designed to power context-aware, document-based applications using Retrieval-Augmented Generation. It enables developers to rapidly integrate intelligent context retrieval into their workflows and supports integration with AI platforms such as Claude. The server is easily installable via major JavaScript package managers and supports environment configuration for namespaces, tenant IDs, and tool descriptions.

    22 10 MCP
  • 39
    mcp-graphql

    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
  • 40
    any-chat-completions-mcp

    any-chat-completions-mcp

    Integrate multiple AI chat providers with OpenAI-compatible MCP server.

    any-chat-completions-mcp is a TypeScript-based server implementing the Model Context Protocol (MCP) to connect popular AI chat providers like OpenAI, Perplexity, Groq, xAI, and PyroPrompts via a unified interface. It relays chat/completion requests to any OpenAI SDK-compatible API, allowing users to easily access multiple AI services through the same standardized protocol. The server can be configured for different providers by setting environment variables and integrates with both Claude Desktop and LibreChat.

    143 23 MCP
  • 41
    airtable-mcp-server

    airtable-mcp-server

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

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

    343 119 MCP
  • 42
    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
  • 43
    MCP-Typescribe

    MCP-Typescribe

    An MCP server for serving TypeScript API context to language models.

    MCP-Typescribe is an open-source implementation of the Model Context Protocol (MCP) focused on providing LLMs with contextual, real-time access to TypeScript API documentation. It parses TypeScript (and other) definitions using TypeDoc-generated JSON and serves this information via a queryable server that supports tools used by AI coding assistants. The solution enables AI agents to dynamically explore, search, and understand unknown APIs, accelerating onboarding and supporting agentic behaviors in code generation.

    45 6 MCP
  • 44
    @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
  • 45
    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
  • 46
    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
  • 47
    Mac Apps Launcher MCP Server

    Mac Apps Launcher MCP Server

    Launch and manage macOS applications via an MCP server.

    Mac Apps Launcher MCP Server enables the listing, launching, and management of macOS applications through the Model Context Protocol. Designed to integrate with systems supporting MCP, it provides standardized methods to enumerate app folders, launch apps by name, and open files with specified applications. Configuration details are provided for integration with Claude Config JSON.

    16 8 MCP
  • 48
    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
  • 49
    APISIX Model Context Protocol Server

    APISIX Model Context Protocol Server

    Bridge LLMs with APISIX for natural language API management.

    APISIX Model Context Protocol (MCP) Server enables large language models to interact with and manage APISIX resources via natural language commands. It provides a standardized protocol for connecting AI clients like Claude, Cursor, and Copilot to the APISIX Admin API. The server supports a range of operations including CRUD for routes, services, upstreams, plugins, security configurations, and more. Installation is streamlined via Smithery, npm, or direct source setup with customizable environment variables.

    29 9 MCP
  • 50
    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

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