mcp_vms - Alternatives & Competitors

MCP-compliant server for seamless VMS (CCTV) integration and video access.

mcp_vms implements an MCP server that bridges CCTV Video Management Systems (VMS) with model context protocols. It retrieves live and recorded video streams, exposes channel information and status, and supports remote video playback control and PTZ camera management. Comprehensive error handling and logging ensure reliable integration with AI tooling requiring contextual video feeds.

#Video Management System #CCTV Integration #PTZ Camera Control #Video Streaming #Surveillance Automation #python-server

Ranked by Relevance

  • 1
    ScreenMonitorMCP v2

    ScreenMonitorMCP v2

    Real-time screen monitoring and visual analysis for AI assistants via MCP.

    ScreenMonitorMCP v2 is a Model Context Protocol (MCP) server enabling AI assistants to capture, analyze, and interact with screen content in real time. It supports instant screenshots, live streaming, advanced vision-based analysis, and provides performance monitoring across Windows, macOS, and Linux. Integration with clients like Claude Desktop is streamlined, offering easy configuration and broad compatibility. The tool leverages AI vision models to provide intelligent insights into screen content and system health.

    64 14 MCP
  • 2
    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
  • 3
    YouTube MCP Server

    YouTube MCP Server

    Connect YouTube subtitles to Claude via the Model Context Protocol.

    YouTube MCP Server integrates with Claude AI by providing a bridge between YouTube subtitles and the Model Context Protocol. It utilizes yt-dlp to download video subtitles and makes this context accessible through MCP-compliant interactions with Claude. Designed for easy installation with mcp-installer, it enables Claude to process and summarize YouTube videos directly from their URLs.

    468 57 MCP
  • 4
    Macrocosmos MCP

    Macrocosmos MCP

    Official Model Context Protocol server for real-time social and video data integration.

    Macrocosmos MCP is the official server implementation of the Model Context Protocol (MCP). It connects AI clients with real-time data from platforms like X, Reddit, and YouTube, powered by Data Universe (SN13) on Bittensor. The server enables MCP-compatible clients to fetch social media and video transcript data for enhanced contextual understanding. It supports integration with tools such as Claude Desktop, Cursor, Windsurf, and OpenAI Agents.

    24 3 MCP
  • 5
    Yandex Tracker MCP Server

    Yandex Tracker MCP Server

    A Model Context Protocol server for secure and flexible integration with Yandex Tracker APIs.

    Yandex Tracker MCP Server enables AI assistants to securely interact with Yandex Tracker APIs by providing authenticated access to issues, queues, comments, worklogs, and more. It supports advanced query capabilities, optional Redis caching for enhanced performance, and multiple transport options including HTTP and stdio. The server features OAuth 2.0 authentication, granular security controls, and can be seamlessly integrated as an extension in various AI clients, such as Claude Desktop.

    28 6 MCP
  • 6
    ScreenPilot

    ScreenPilot

    Empower LLMs with full device control through screen automation.

    ScreenPilot provides an MCP server interface to enable large language models to interact with and control graphical user interfaces on a device. It offers a comprehensive toolkit for screen capture, mouse control, keyboard input, scrolling, element detection, and action sequencing. The toolkit is suitable for automation, education, and experimentation, allowing AI agents to perform complex operations on a user’s device.

    50 8 MCP
  • 7
    Daisys MCP server

    Daisys MCP server

    A beta server implementation for the Model Context Protocol supporting audio context with Daisys integration.

    Daisys MCP server provides a beta implementation of the Model Context Protocol (MCP), enabling seamless integration between the Daisys AI platform and various MCP clients. It allows users to connect MCP-compatible clients to Daisys by configurable authentication and environment settings, with out-of-the-box support for audio file storage and playback. The server is designed to be extensible, including support for both user-level deployments and developer contributions, with best practices for secure authentication and dependency management.

    10 5 MCP
  • 8
    CVE-Search MCP Server

    CVE-Search MCP Server

    MCP server for querying and managing CVE-Search vulnerability data.

    CVE-Search MCP Server implements the Model Context Protocol to provide structured access to the CVE-Search API. It enables querying vendors, products, and vulnerabilities, as well as retrieving detailed information for specific CVEs. The server facilitates model context integration via MCP client tools, supporting seamless interactions for vulnerability data management.

    67 11 MCP
  • 9
    Aviationstack MCP Server

    Aviationstack MCP Server

    MCP server offering comprehensive endpoints for aviation and flight data.

    Aviationstack MCP Server provides an MCP-compliant API that exposes tools to access real-time and scheduled flight data, aircraft details, random aircraft types, countries, and city information from the AviationStack API. It offers ready-to-use endpoints for airline-specific flight queries, airport schedules, and in-depth vehicle, country, and city data. The solution applies the Model Context Protocol by defining MCP tools as Python functions with standardized interfaces, designed for seamless integration into MCP-compatible environments. The server is built using Python, incorporates the FastMCP library, and is intended for easy deployment and use in application development.

    11 4 MCP
  • 10
    video-editing-mcp

    video-editing-mcp

    MCP server for uploading, editing, searching, and generating videos via Video Jungle and LLMs.

    Implements a Model Context Protocol (MCP) server for seamless video uploading, editing, searching, and generative editing workflows, powered by Video Jungle integration and LLM assistance. Provides a suite of tools for video asset management, automated video editing, and context-aware search leveraging multimedia analysis. Supports both cloud workflows through Video Jungle and local searching capabilities, such as accessing the Photos app database on MacOS. Designed for integration with clients like Claude Desktop and supports automation, debugging, and development through open protocols.

    207 27 MCP
  • 11
    python-openstackmcp-server

    python-openstackmcp-server

    MCP server enabling AI-powered OpenStack cloud management

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

    15 6 MCP
  • 12
    Modbus MCP Server

    Modbus MCP Server

    Standardizes Modbus data for seamless AI integration via the Model Context Protocol.

    Modbus MCP Server provides an MCP-compliant interface that standardizes and contextualizes Modbus device data for use with AI agents and industrial IoT systems. It supports flexible Modbus connections over TCP, UDP, or serial interfaces and offers a range of Modbus tools for reading and writing registers and coils. With customizable prompts and structured tool definitions, it enables natural language-driven interactions and analysis of Modbus data within AI workflows. The solution is designed to ensure interoperability and easy configuration within MCP-compatible environments.

    18 7 MCP
  • 13
    manim-mcp-server

    manim-mcp-server

    MCP server for generating Manim animations on demand.

    Manim MCP Server allows users to execute Manim Python scripts via a standardized protocol, generating animation videos that are returned as output. It integrates with systems like Claude to dynamically render animation content from user scripts and supports configurable deployment using environment variables. The server handles management of output files and cleanup of temporary resources, designed with portability and ease of integration in mind.

    454 48 MCP
  • 14
    MCP Server for Milvus

    MCP Server for Milvus

    Bridge Milvus vector database with AI apps using Model Context Protocol (MCP).

    MCP Server for Milvus enables seamless integration between the Milvus vector database and large language model (LLM) applications via the Model Context Protocol. It exposes Milvus functionality to external LLM-powered tools through both stdio and Server-Sent Events communication modes. The solution is compatible with MCP-enabled clients such as Claude Desktop and Cursor, supporting easy access to relevant vector data for enhanced AI workflows. Configuration is flexible through environment variables or command-line arguments.

    196 57 MCP
  • 15
    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
  • 16
    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
  • 17
    Creatify MCP Server

    Creatify MCP Server

    MCP server bringing Creatify AI's advanced video generation to every AI assistant.

    Creatify MCP Server is a comprehensive Model Context Protocol (MCP) server that integrates Creatify AI's video generation platform with AI assistants, chatbots, and automation tools. It provides advanced capabilities such as natural language video creation prompts, progress tracking, structured logging, and reusable workflows through a standardized MCP interface. Built with TypeScript and leveraging the Creatify API, it exposes a wide range of powerful video generation and editing actions that can be controlled programmatically.

    14 3 MCP
  • 18
    VideoDB Agent Toolkit

    VideoDB Agent Toolkit

    AI Agent toolkit that exposes VideoDB context to LLMs with MCP support

    VideoDB Agent Toolkit provides tools for exposing VideoDB context to large language models (LLMs) and agents, enabling integration with AI-driven IDEs and chat agents. It automates context generation, metadata management, and discoverability by offering structured context files like llms.txt and llms-full.txt, and standardized access via the Model Context Protocol (MCP). The toolkit ensures synchronization of SDK versions, comprehensive documentation, and best practices for seamless AI-powered workflows.

    43 8 MCP
  • 19
    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
  • 20
    PiloTY

    PiloTY

    AI Pilot for PTY Operations via the Model Context Protocol

    PiloTY is an MCP server that enables AI agents to control interactive terminals as if they were human users. It provides stateful, context-preserving terminal sessions that support interactive programs, SSH connections, and background process management. The system allows secure integration with AI platforms like Claude Code or Claude Desktop to translate natural language instructions into complex terminal workflows. Designed for extensibility and real-world development scenarios, PiloTY empowers agents to manage remote environments, debug interactively, and automate multi-step operations.

    12 3 MCP
  • 21
    VictoriaMetrics MCP Server

    VictoriaMetrics MCP Server

    Model Context Protocol server enabling advanced monitoring and observability for VictoriaMetrics.

    VictoriaMetrics MCP Server implements the Model Context Protocol (MCP) to provide seamless integration with VictoriaMetrics, allowing advanced monitoring, data exploration, and observability. It offers access to almost all read-only APIs, as well as embedded documentation for offline usage. The server facilitates comprehensive metric querying, cardinality analysis, alert and rule testing, and automation capabilities for engineers and tools.

    87 11 MCP
  • 22
    Vectorize MCP Server

    Vectorize MCP Server

    MCP server for advanced vector retrieval and text extraction with Vectorize integration.

    Vectorize MCP Server is an implementation of the Model Context Protocol (MCP) that integrates with the Vectorize platform to enable advanced vector retrieval and text extraction. It supports seamless installation and integration within development environments such as VS Code. The server is configurable through environment variables or JSON configuration files and is suitable for use in collaborative and individual workflows requiring vector-based context management for models.

    97 21 MCP
  • 23
    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
  • 24
    Product Hunt MCP Server

    Product Hunt MCP Server

    Plug-and-play MCP server for accessing Product Hunt data with LLMs and agents.

    Product Hunt MCP Server acts as a bridge between Product Hunt’s API and any agent or LLM that supports the Model Context Protocol (MCP). It enables fast and standardized access to posts, collections, topics, users, comments, and votes on Product Hunt. Built on FastMCP, it ensures seamless compatibility with popular AI tooling like Claude Desktop and Cursor. Integration is straightforward, requiring only a Product Hunt API token and simple configuration.

    33 8 MCP
  • 25
    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
  • 26
    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
  • 27
    MCP Server for ZenML

    MCP Server for ZenML

    Expose ZenML data and pipeline operations via the Model Context Protocol.

    Implements a Model Context Protocol (MCP) server for interfacing with the ZenML API, enabling standardized access to ZenML resources for AI applications. Provides tools for reading data about users, stacks, pipelines, runs, and artifacts, as well as triggering new pipeline runs if templates are available. Includes robust testing, automated quality checks, and supports secure connection from compatible MCP clients. Designed for easy integration with ZenML instances, supporting both local and remote ZenML deployments.

    32 10 MCP
  • 28
    youtube_mcp

    youtube_mcp

    YouTube transcription server with Model Context Protocol integration.

    youtube_mcp is a server that enables transcription of YouTube videos using the Model Context Protocol (MCP). Users can set up the server, authenticate via an MCP key, and stream video transcript data for integrated AI tools. Designed for use with applications like Claude desktop, it supports OpenAI APIs and utilizes browser cookies for access.

    26 3 MCP
  • 29
    Intruder MCP

    Intruder MCP

    Enable AI agents to control Intruder.io via the Model Context Protocol.

    Intruder MCP allows AI model clients such as Claude and Cursor to interactively control the Intruder vulnerability scanner through the Model Context Protocol. It can be deployed using smithery, locally with Python, or in a Docker container, requiring only an Intruder API key for secure access. The tool provides integration instructions tailored for MCP-compatible clients, streamlining vulnerability management automation for AI-driven workflows.

    21 4 MCP
  • 30
    VictoriaLogs MCP Server

    VictoriaLogs MCP Server

    MCP server enabling advanced read-only access and observability for VictoriaLogs

    VictoriaLogs MCP Server implements the Model Context Protocol (MCP) to provide seamless, read-only integration with VictoriaLogs instances. It enables comprehensive access to VictoriaLogs APIs, allowing for log querying, exploration, and advanced observability tasks. The server includes embedded and searchable documentation and supports automation and interaction capabilities via standardized MCP tools. Designed to combine with other MCP servers, it enhances engineering workflows for log analysis and troubleshooting.

    30 7 MCP
  • 31
    Kestra Python MCP Server

    Kestra Python MCP Server

    Run Kestra orchestrations with Model Context Protocol support via Docker.

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

    16 3 MCP
  • 32
    OpsLevel MCP Server

    OpsLevel MCP Server

    Read-only MCP server for integrating OpsLevel data with AI tools.

    OpsLevel MCP Server implements the Model Context Protocol to provide AI tools with a secure way to access and interact with OpsLevel account data. It supports read-only operations for a wide range of OpsLevel resources such as actions, campaigns, checks, components, documentation, domains, and more. The tool is compatible with popular environments including Claude Desktop and VS Code, enabling easy integration via configuration and API tokens. Installation options include Homebrew, Docker, and standalone binaries.

    8 7 MCP
  • 33
    Postmancer

    Postmancer

    A standalone MCP server for API testing and management via AI assistants.

    Postmancer is a Model Context Protocol (MCP) server designed to facilitate API testing and management through natural language interactions with AI assistants. It enables HTTP requests, organizes API endpoints into collections, and provides tools for managing environment variables, authentication, and request history. Postmancer is particularly aimed at integrating with AI platforms like Claude for seamless, automated API workflows.

    28 4 MCP
  • 34
    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
  • 35
    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
  • 36
    VirusTotal MCP Server

    VirusTotal MCP Server

    Security analysis server for VirusTotal with comprehensive relationship data, compatible with MCP-enabled applications.

    VirusTotal MCP Server is a Model Context Protocol server that interfaces with the VirusTotal API to deliver detailed security analysis of URLs, files, IPs, and domains. It provides comprehensive reports with automatically fetched relationship data, supporting rich security insights in a single request. Designed for seamless integration with MCP-compatible clients like Claude Desktop, it supports easy installation and flexible configuration options.

    88 12 MCP
  • 37
    Zabbix MCP Server

    Zabbix MCP Server

    MCP-compatible Zabbix server integration for comprehensive monitoring and automation.

    Zabbix MCP Server serves as a comprehensive Model Context Protocol (MCP) server, enabling seamless integration with Zabbix using FastMCP and python-zabbix-utils. It offers complete access to Zabbix API functionalities through MCP-compatible tools, supporting advanced management of hosts, groups, items, triggers, templates, and more. The server is designed for easy installation, configuration, and automation of monitoring through a standardized protocol interface.

    98 29 MCP
  • 38
    Hive Intelligence MCP Server

    Hive Intelligence MCP Server

    Unified MCP server delivering advanced cryptocurrency and Web3 analytics.

    Hive Intelligence MCP Server provides comprehensive cryptocurrency, DeFi, and Web3 analytics via the Model Context Protocol. It enables AI assistants to access and orchestrate over 200 specialized tools covering market data, on-chain analytics, portfolio tracking, and security analysis. The server offers both dynamic and category-specific analytics through a unified MCP interface, facilitating intelligent tool orchestration for diverse crypto data needs.

    7 5 MCP
  • 39
    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
  • 40
    EVM MCP Server

    EVM MCP Server

    A Model Context Protocol server providing full access to EVM JSON-RPC methods.

    EVM MCP Server is a comprehensive MCP (Model Context Protocol) server offering seamless access to Ethereum Virtual Machine (EVM) JSON-RPC methods across all major EVM-compatible networks. It enables integration with node providers like Infura, Alchemy, QuickNode, and local nodes, offering 20+ specialized tools for blockchain interaction. Users can configure it easily with Claude Desktop for AI-driven workflows and manage blockchain data, transactions, and events through a standardized context protocol.

    0 2 MCP
  • 41
    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
  • 42
    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
  • 43
    mcp-server-webcrawl

    mcp-server-webcrawl

    Advanced search and retrieval for web crawler data via MCP.

    mcp-server-webcrawl provides an AI-oriented server that enables advanced filtering, analysis, and search over data from various web crawlers. Designed for seamless integration with large language models, it supports boolean search, filtering by resource types and HTTP status, and is compatible with popular crawling formats. It facilitates AI clients, such as Claude Desktop, with prompt routines and customizable workflows, making it easy to manage, query, and analyze archived web content. The tool supports integration with multiple crawler outputs and offers templates for automated routines.

    32 7 MCP
  • 44
    Netwrix Access Analyzer MCP Server

    Netwrix Access Analyzer MCP Server

    An MCP server integrating enterprise access analysis tools with Claude Desktop.

    Netwrix Access Analyzer MCP Server provides a Model Context Protocol (MCP) server designed for integration with Claude Desktop. It enables secure and dynamic access to Active Directory, SQL Server databases, and file system data for auditing and analysis. The server offers a range of tools for effective group membership discovery, permission analysis, sensitive data detection, and more. It streamlines enterprise security assessments by standardizing context-sharing for AI-driven solutions.

    1 1 MCP
  • 45
    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
  • 46
    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
  • 47
    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
  • 48
    VictoriaMetrics MCP Server

    VictoriaMetrics MCP Server

    Model Context Protocol server interface for VictoriaMetrics time-series database.

    VictoriaMetrics MCP Server provides a Model Context Protocol (MCP) compliant interface to interact with VictoriaMetrics. It enables structured data writing, Prometheus format imports, and advanced querying capabilities within the VictoriaMetrics platform. The tool supports installation via Smithery and CLI, facilitating flexible integration. It offers endpoints for writing metrics, querying time series, retrieving labels, and label values.

    7 5 MCP
  • 49
    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
  • 50
    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

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