ROS MCP - Alternatives & Competitors
Natural language interface for controlling ROS robots using the Model Context Protocol
ROS MCP is a server that implements the Model Context Protocol (MCP) to enable natural language control of robots in ROS environments. It facilitates communication with ROS topics, services, and actions, supporting any ROS message type. The system integrates with GUI tools through a socket server and can be used with Claude Desktop for interactive robot management. Key functionalities include topic management, node control, service interaction, and process management for ROS2-powered robots.
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Model Context Protocol Server for Home Assistant
Seamlessly connect Home Assistant to LLMs for natural language smart home control via MCP.
Enables integration between a local Home Assistant instance and language models using the Model Context Protocol (MCP). Facilitates natural language monitoring and control of smart home devices, with robust API support for state management, automation, real-time updates, and system administration. Features secure, token-based access, and supports mobile and HTTP clients. Designed to bridge Home Assistant environments with modern AI-driven automation.
468 41 MCP -
2
MCP Miro Server
Miro board integration for AI assistants via Model Context Protocol.
MCP Miro Server provides a standardized MCP server interface to the Miro platform, enabling AI assistants to access and manage Miro boards programmatically. It supports a wide range of board and item operations, including creating, listing, updating, and deleting boards and their contents. Secure OAuth token access ensures integration with users’ Miro accounts. Designed to work seamlessly with AI tools like Claude Desktop, it allows efficient and automated Miro workspace management.
57 16 MCP -
3
mcp-miro
Model Context Protocol server for integrating MIRO Whiteboard with AI workflows.
mcp-miro is a Model Context Protocol (MCP) compliant server that connects the MIRO Whiteboard Application to AI-based systems, such as Claude Desktop. It enables board manipulation, sticky note creation, bulk operations, and more through standardized MCP interfaces. Users can authenticate via OAuth and interact with MIRO boards programmatically for collaborative whiteboarding and automation tasks. The server can be installed using Smithery or mcp-get and supports debugging with the MCP Inspector.
97 31 MCP -
4
QGISMCP
Integrate QGIS with Claude AI via Model Context Protocol
QGISMCP connects QGIS to Claude AI through the Model Context Protocol (MCP), enabling seamless two-way communication between the GIS platform and the AI assistant. It features a QGIS plugin that sets up a socket server and a dedicated MCP server for processing commands, facilitating tasks such as project manipulation, layer management, and Python code execution directly from Claude. This integration empowers users to streamline project creation, layer loading, and advanced automation within QGIS through AI-driven interaction.
691 99 MCP -
5
Advanced Unity MCP from Code Maestro
Control Unity with AI through natural language commands.
Advanced Unity MCP from Code Maestro enables direct interaction with the Unity Editor using natural language commands powered by AI. It bridges AI assistants like Code Maestro Desktop App, GitHub Copilot, Cursor, and others to the Unity Editor using the Model Context Protocol (MCP). Users can automate Unity tasks such as asset management, scene configuration, building projects, and more without manual intervention. The system supports both direct and relay server connections for flexible integration with various AI clients.
70 5 MCP -
6
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 -
7
metoro-mcp-server
Bridge Kubernetes observability data to LLMs via the Model Context Protocol.
Metoro MCP Server is an implementation of the Model Context Protocol (MCP) that enables seamless integration between Kubernetes observability data and large language models. It connects Metoro’s eBPF-based telemetry APIs to LLM applications such as the Claude Desktop App, allowing AI systems to query and analyze Kubernetes clusters. This solution supports both authenticated and demo modes for accessing real-time cluster insights.
45 12 MCP -
8
MCP Swagger Server (mss)
Seamlessly convert OpenAPI/Swagger specs into Model Context Protocol tools for AI integration.
MCP Swagger Server converts OpenAPI/Swagger API specifications into Model Context Protocol (MCP) compatible tools, enabling REST APIs to become directly callable by AI systems. It supports zero-configuration conversion, multiple transport protocols (SSE, Streamable, Stdio), and secure API access through Bearer Token authentication. The tool offers an interactive command-line interface and configuration options to filter operations, customize transports, and manage API security. Its modular structure includes OpenAPI parsing, web UI, and backend services.
38 8 MCP -
9
omniparser-autogui-mcp
Automated GUI analysis and interaction via the Model Context Protocol.
omniparser-autogui-mcp is an MCP server that leverages OmniParser to analyze on-screen content and perform automated GUI operations. It integrates with clients such as Claude Desktop and can be configured via a detailed environment setup. The tool supports Windows and can delegate OmniParser processing to external devices, offering flexibility for complex contexts. Multiple environment variables allow customization of backend processing, target window selection, and communication methods, including SSE.
58 11 MCP -
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CMD MCP Server
Execute CMD commands via the Model Context Protocol with cross-platform and SSH support.
CMD MCP Server is an implementation of the Model Context Protocol (MCP) for executing CMD commands on Windows and Linux systems, with additional support for SSH connections. It enables seamless integration of command-line operations with MCP-compatible applications, leveraging the official MCP SDK. Written in TypeScript for cross-platform compatibility, it allows programmatic execution, configuration, and extension of CMD operations through standardized protocols. The server is designed for easy installation, robust configuration, and developer-friendly extension.
22 11 MCP -
11
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 -
12
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
MCP Unity Editor
A Model Context Protocol implementation for Unity game development.
MCP Unity Editor implements the Model Context Protocol within the Unity Editor environment, enabling standardized management of model context. It provides tools and infrastructure for developers to build and integrate AI and model-driven workflows in Unity projects. Built with support for Unity and Node.js, it aims to facilitate robust context handling and protocol compliance for model interactions.
1,075 131 MCP -
14
Unity MCP
AI-powered game development assistant bridging MCP and Unity.
Unity MCP serves as an AI-powered assistant for game developers, acting as a bridge between MCP clients and the Unity engine. It enables natural chat-based interactions to perform various development tasks using large language models from multiple providers. The system offers tools for code assistance, debugging, and flexible deployment options, supporting both local and remote workflows. Its extensibility allows for the creation of custom MCP tools to enhance developer productivity in the Unity environment.
510 53 MCP -
15
PMCP
Golang Model Context Protocol server for natural language Prometheus queries
PMCP implements a Model Context Protocol (MCP) server in Go, enabling natural language access and manipulation of Prometheus metrics. It maintains full consistency with the Prometheus HTTP API and supports a robust, type-safe interface for seamless integration with MCP-compatible clients. The server offers complete Prometheus API coverage and supports multiple transport methods, including HTTP and Server-Sent Events. Its modular architecture is designed for performance, extensibility, and effective error handling.
3 1 MCP -
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interactive-mcp
Enable interactive, local communication between LLMs and users via MCP.
interactive-mcp implements a Model Context Protocol (MCP) server in Node.js/TypeScript, allowing Large Language Models (LLMs) to interact directly with users on their local machine. It exposes tools for requesting user input, sending notifications, and managing persistent command-line chat sessions, facilitating real-time communication. Designed for integration with clients like Claude Desktop and VS Code, it operates locally to access OS-level notifications and command prompts. The project is suited for interactive workflows where LLMs require user involvement or confirmation.
313 25 MCP -
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Label Studio MCP Server
Bridge between Model Context Protocol clients and Label Studio for project, task, and prediction management.
Label Studio MCP Server implements a Model Context Protocol (MCP) interface to enable programmatic management of Label Studio projects, tasks, and model predictions. It enables structured interactions with a running Label Studio instance via MCP clients, supports various project and task operations, and integrates the official Label Studio SDK. The tool exposes multiple functions for project management, task handling, and prediction integration, allowing both natural language and structured API calls.
23 8 MCP -
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OPC UA MCP Server
Bridge AI agents with OPC UA industrial systems in real time.
OPC UA MCP Server enables seamless integration of AI agents with OPC UA-enabled industrial automation systems. It provides real-time monitoring, analysis, and control of operational data through a set of standardized tool APIs. Supporting both reading and writing of OPC UA nodes, the server facilitates natural language interaction by exposing tools for AI-driven automation and control workflows.
20 8 MCP -
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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 -
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Todoist MCP Server
Natural language Todoist management for Claude via MCP.
Todoist MCP Server enables integration of Claude with Todoist, allowing users to manage their tasks using natural language commands. It implements the Model Context Protocol (MCP), providing tools for creating, updating, completing, and deleting tasks through conversational input. The server supports smart search, flexible filtering, and rich task attribute handling, aiming to streamline task management with intuitive error feedback.
323 63 MCP -
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esp-mcp
Unified ESP-IDF command interface for LLMs and chatbots
esp-mcp provides a Model Context Protocol (MCP) compliant server to consolidate and simplify ESP-IDF and related project command execution. It enables large language models and chatbots to perform ESP-IDF project builds, flash firmware, and manage ESP devices through standardized protocol interactions. The project is proof-of-concept with support for basic build and flash commands and aims to expand towards comprehensive embedded device management via LLM interfaces.
114 11 MCP -
22
MCPR
Stateful Human-AI Collaboration and Persistent R Sessions
MCPR enables AI agents to establish interactive, persistent sessions within a live R environment, allowing for stateful, multi-step analytical workflows. By leveraging JSON-RPC 2.0 over `nanonext` sockets, it facilitates robust, asynchronous communication and exposes R session functionalities as modular tools. The framework includes session management, service discovery, and advanced plot rendering capabilities, making it ideal for collaborative and iterative data analysis.
16 5 MCP -
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NWC MCP Server
Bridge your Bitcoin Lightning wallet with LLMs using Nostr Wallet Connect.
NWC MCP Server enables users to connect Bitcoin Lightning wallets to language models through Nostr Wallet Connect (NWC) and NIP-47 protocols. It leverages the official Model Context Protocol (MCP) TypeScript SDK and supports various transport modes such as STDIO, HTTP streamable, and SSE. The solution can be integrated with platforms like N8N, Claude Desktop, Goose, and Cline, and allows authentication and context management using NWC connection secrets. Although now deprecated in favor of Alby MCP, it provides tooling for leveraging Lightning payment workflows within AI agent interactions.
12 6 MCP -
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MCP-timeserver
A simple MCP server providing date and time information to agentic systems.
MCP-timeserver exposes current datetime information via a custom datetime URI scheme compatible with the Model Context Protocol. It allows agentic systems and chat REPLs to access timezone-aware current times and offers a tool to fetch the system's local time. The server is designed to integrate with MCP-based workflows by providing standardized datetime resources.
39 17 MCP -
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MCP RSS Aggregator
Fetch and read RSS feeds in Claude Desktop via Model Context Protocol.
MCP RSS Aggregator enables Claude Desktop to access and display content from user-selected RSS feeds using the Model Context Protocol (MCP). It supports OPML and JSON formats for managing feed configurations, allowing users to import or customize their subscriptions easily. The tool organizes feeds by categories, filters content from different sources, and presents articles with well-formatted titles, snippets, and links. Integration with Claude Desktop allows seamless aggregation and delivery of real-time news content for users.
16 9 MCP -
26
melrose-mcp
An MCP server for generating and playing programmable music via Melrōse.
melrose-mcp is a Model Context Protocol (MCP) server that enables users to compose and perform music using the Melrōse programming language. It facilitates communication between AI models and the Melrōse tool, allowing for dynamic manipulation of tempo, playback, and MIDI configuration. The project supports various tools for controlling musical expression and can be integrated into client applications such as Claude Desktop.
7 3 MCP -
27
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 -
28
Unitree Go2 MCP Server
Control Unitree Go2 robot using natural language via Model Context Protocol.
Unitree Go2 MCP Server is a server implementation based on the Model Context Protocol (MCP) that enables natural language command of the Unitree Go2 robot, interpreted by a large language model and translated into ROS2 instructions. This tool bridges AI-driven intent parsing with robot control through well-defined MCP functions. It includes configuration instructions for ROS2 environments, flexible integration with Claude Desktop and other AI systems, and direct interaction with the robot using contextual commands.
55 10 MCP -
29
mcp-server-docker
Natural language management of Docker containers via Model Context Protocol.
mcp-server-docker enables users to manage Docker containers using natural language instructions through the Model Context Protocol. It allows composing, introspecting, and debugging containers, as well as managing persistent Docker volumes. The tool is suitable for server administrators, tinkerers, and AI enthusiasts looking to leverage LLM capabilities for Docker management. Integration with tools like Claude Desktop and Docker ensures flexible deployment and easy connectivity to Docker engines.
648 86 MCP -
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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 -
31
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 -
32
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 -
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Redis Cloud API MCP Server
Natural language interface for managing Redis Cloud via Model Context Protocol
Provides a Model Context Protocol (MCP) server that enables users to manage Redis Cloud resources and accounts using natural language commands. Supports integration with clients such as Claude Desktop and Cursor IDE, facilitating operations such as creating databases, managing subscriptions, retrieving billing information, and monitoring tasks. Offers standardized endpoints to simplify cloud provider and plan selection, as well as database module configuration and task tracking.
37 16 MCP -
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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 -
35
Kubectl MCP Server
Natural language Kubernetes management for AI assistants using the Model Context Protocol.
Kubectl MCP Server enables AI assistants such as Claude and Cursor to interact with Kubernetes clusters using natural language through the Model Context Protocol (MCP). It supports a wide range of Kubernetes operations including resource management, Helm integration, monitoring, diagnostics, and advanced security features. The server is designed to handle context-aware commands, maintain session memory, and provide intelligent command construction and explanations. Integration with multiple AI assistants and flexible transport protocols are supported for a seamless user experience.
734 137 MCP -
36
Nocodb MCP Server
Natural language access and management for NocoDB using the Model Context Protocol.
Nocodb MCP Server enables seamless CRUD operations and schema management on NocoDB databases via the Model Context Protocol (MCP). It allows users to perform database actions such as creating, reading, updating, deleting records, and altering table structures through natural language commands. The tool integrates easily with external platforms like Claude Desktop and supports both API and CLI usage. TypeScript-based, it provides modern maintainability and compatibility enhancements.
54 22 MCP -
37
ACP to MCP Adapter
Bridge ACP Agents with MCP Applications Seamlessly
ACP to MCP Adapter is a lightweight standalone server that connects Agent Communication Protocol (ACP) agents to Model Context Protocol (MCP) applications. It enables MCP applications, such as Claude Desktop, to discover and interact with ACP agents as resources by exposing ACP agent runs as MCP tools. The adapter facilitates interoperability with minimal configuration, though it currently treats ACP agents as tools rather than peers and supports only basic content translation.
30 5 MCP -
38
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 -
39
mcp-server-commands
Expose safe shell command execution as an MCP server for LLM tooling.
mcp-server-commands exposes a server that provides a 'run_command' tool for local or remote large language models (LLMs) via the Model Context Protocol (MCP). It enables LLMs to execute shell commands, retrieve STDOUT and STDERR, and optionally pass data through stdin. The tool integrates with apps like Claude Desktop and Groq Desktop, and can be run via npm or as a local build, with security in mind.
207 32 MCP -
40
MongoDB MCP Server
A Model Context Protocol server for enabling LLM interaction with MongoDB databases.
MongoDB MCP Server empowers language models to interface directly with MongoDB databases using the Model Context Protocol (MCP). It enables natural language querying and management of collections, documents, and indexes. Users can inspect database schemas, execute document operations, and manage indexes seamlessly. The tool integrates with clients like Claude Desktop for conversational database management.
172 33 MCP -
41
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 -
42
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 -
43
CockroachDB MCP Server
Natural language interface for managing CockroachDB via MCP protocol
CockroachDB MCP Server enables natural language interactions with CockroachDB, integrating with Model Context Protocol (MCP) clients. It supports comprehensive database management, cluster monitoring, and SQL operations through standardized tools. Designed for LLMs and agentic applications, it facilitates seamless AI-driven workflows to query, manipulate, and monitor CockroachDB databases. The system emphasizes performance, scalability, and easy integration with popular LLM tools.
6 3 MCP -
44
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 -
45
Neovim MCP Server
Connect AI assistants to Neovim via the Model Context Protocol.
Neovim MCP Server enables seamless integration between Neovim instances and AI assistants by implementing the Model Context Protocol (MCP). It allows for multi-connection management, supports both stdio and HTTP server transport modes, and provides access to structured diagnostic information via URI schemes. With LSP integration, plugin support, and an extensible tool system, it facilitates advanced interaction with Neovim for context-aware AI workflows.
20 3 MCP -
46
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 -
47
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 -
48
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 -
49
docker-mcp
A powerful MCP server for seamless Docker container and compose stack management.
docker-mcp is a Model Context Protocol (MCP) server that enables robust Docker container and compose stack management via Claude AI. It offers easy installation through Smithery or manual setup, supporting container creation, Docker Compose stack deployment, log retrieval, and monitoring. Integration with the Claude Desktop app is straightforward, and the included MCP Inspector aids debugging. This tool simplifies Docker operations for automation and AI model interactions.
419 57 MCP -
50
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
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