Cal.com FastMCP Server alternatives

1

FastMCP

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

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

20,201 1,488 MCP

2

GrowthBook MCP Server

Interact with GrowthBook from your LLM client via MCP.

GrowthBook MCP Server enables seamless integration between GrowthBook and LLM clients by implementing the Model Context Protocol. It allows users to view experiment details, add feature flags, and manage GrowthBook configurations directly from AI applications. The server is configurable via environment variables and leverages GrowthBook's API for functionality. This integration streamlines experimentation and feature management workflows in AI tools.

15 12 MCP

3

mcp-gsuite

MCP server for integrating Google Gmail and Calendar with AI tools

mcp-gsuite enables seamless integration of Google Workspace products, such as Gmail and Calendar, with AI models via the Model Context Protocol (MCP). It supports multiple Google accounts, OAuth2 authentication, and a variety of email and calendar management functions. Users can retrieve, compose, and manage emails or calendar events, and provide rich contextual information to AI systems.

457 89 MCP

4

Rootly MCP Server

Seamlessly integrate Rootly incident management into MCP-compatible editors.

Rootly MCP Server provides an MCP-compliant server to access and manage Rootly's incident management API from within editors like Cursor, Windsurf, and Claude. It enables context-rich workflows and tool generation based on Rootly’s OpenAPI specification, allowing users to resolve incidents directly within their development environment. The server supports flexible authentication and dynamic resource generation while ensuring smart pagination to optimize editor context windows.

36 15 MCP

5

Google Calendar MCP Server

MCP-compliant server enabling Google Calendar integration with Claude Desktop.

Google Calendar MCP Server provides a Model Context Protocol server implementation for seamless integration between Claude Desktop and Google Calendar. It enables natural language-based scheduling, creation, updating, and deletion of calendar events by handling OAuth2 authentication and offering standardized tool interfaces. The server employs TypeScript, leverages the MCP SDK, and ensures secure token handling with AES-256-GCM encryption. Robust schema validation and environment-based configuration enable secure, reliable, and flexible calendar management.

53 7 MCP

6

Facebook MCP Server

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

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

64 26 MCP

7

iMessage Query MCP Server

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

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

71 13 MCP

8

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

9

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

10

Didlogic MCP Server

Standardized MCP interface for Didlogic API services

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

3 5 MCP

11

dolphindb-mcp-server

A FastMCP-compatible server plugin for DolphinDB database operations.

dolphindb-mcp-server provides a plugin service enabling external tools to interact with DolphinDB databases through standardized MCP interfaces. The server exposes commonly used functions for listing databases and tables, querying table disk usage, and executing scripts via the FastMCP protocol. It supports flexible installation methods and environment configuration, allowing seamless integration with LLM toolchains or MCP frontends.

4 3 MCP

12

joinly.ai

Enable AI agents to join and participate in your meetings.

joinly.ai is an open-source middleware that allows AI agents to join, interact, and execute tasks during live video calls across platforms like Zoom, Google Meet, and Microsoft Teams. Leveraging an MCP (Model Context Protocol) server, it provides essential meeting tools, modular integrations for TTS/STT, and supports any LLM provider. It enables real-time conversational flow, ensuring natural interactions and privacy-focused, self-hosted deployment.

393 48 MCP

13

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

14

Google Tasks MCP Server

Integrate and manage Google Tasks via standardized MCP tools and resources.

Google Tasks MCP Server integrates seamlessly with Google Tasks, providing standardized tools for listing, searching, creating, updating, and deleting tasks. Following the Model Context Protocol, it exposes task resources and actions in a way that can be easily integrated with MCP-driven applications, including desktop AI assistants. The server supports OAuth authentication, context-driven task manipulation, and automated integration with platforms like Smithery and Claude Desktop.

91 32 MCP

15

Telephony MCP Server

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

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

12 3 MCP

16

Google Sheets MCP Server

Automate Google Sheets with Model Context Protocol integration.

Google Sheets MCP Server enables seamless integration between Google Sheets and any MCP-compatible client, providing rich API access for spreadsheet automation. It offers full CRUD operations on spreadsheets and tables, secure authentication with Google Service Accounts, and compatibility with tools like Continue.dev, Claude Desktop, and Perplexity. The service can be rapidly installed with the uvx package manager, making it fast and easy to connect Google Sheets to various AI and automation workflows.

12 3 MCP

17

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

18

Google MCP Tools

Seamless Google Workspace integration for AI-driven clients via the MCP protocol

Google MCP Tools enables AI clients to interact with Google services like Gmail, Calendar, and Drive using the Model Context Protocol (MCP). It provides secure OAuth and service account support for managing emails, calendar events, and drive files. Core capabilities include sending and drafting emails with attachments, managing labels, scheduling calendar events, and handling files in Google Drive. Designed for smooth integration with AI assistants such as Claude and Cursor.

12 9 MCP

19

Webhook Tester MCP Server

Modular server for managing, inspecting, and automating webhooks with FastMCP.

Webhook Tester MCP Server provides a modular FastMCP-based server to automate and manage Webhook tokens (URLs), inspect incoming requests, and perform analytics without custom API integration. Built with the FastMCP framework, it exposes resources and tools for webhook observability and management. The server handles creation, listing, detail fetching, payload inspection, and deletion of webhooks, ensuring integration and automation of webhook workflows. It is easily configurable for use with Claude Desktop and supports demo testing for streamlined development.

8 4 MCP

20

Excel MCP Server

Manipulate Excel files programmatically via the Model Context Protocol.

Excel MCP Server enables AI agents and applications to create, read, and modify Excel workbooks without relying on Microsoft Excel. It provides comprehensive Excel operations such as editing sheets, managing data, generating charts, and working with pivot tables through various transport protocols including stdio and HTTP. The server supports robust data validation, advanced formatting, and seamless integration as both a local tool and remote service. Configuration options for file management and port settings allow for flexible deployment.

2,795 326 MCP

21

MacOS Resource Monitor MCP Server

Lightweight MCP server for monitoring CPU, memory, and network usage on macOS.

MacOS Resource Monitor MCP Server provides real-time monitoring of system resources on macOS devices, exposing an MCP endpoint for integration with LLMs or other clients. It identifies resource-intensive processes across CPU, memory, and network, delivering structured JSON outputs. The server offers advanced filtering, sorting, and system overviews, assisting in performance analysis and bottleneck identification. Designed for seamless integration and lightweight system monitoring.

16 3 MCP

22

Bruno MCP Server

An MCP server to run Bruno API test collections via a standardized interface.

Bruno MCP Server provides an MCP-compliant server that enables running Bruno API collections and test suites, delivering detailed results through a standardized protocol interface. It supports the execution of API tests using Bruno CLI, allows integration with environment files and variables, and returns comprehensive success, summary, failure, and timing information. Designed for integration with LLMs such as Claude, it allows automated AI agents to initiate and analyze API collection runs. Deployment is streamlined through tools like Smithery and straightforward configuration for desktop use.

32 8 MCP

23

Infobip MCP Servers

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

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

20 2 MCP

24

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

25

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

26

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

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

28

MCP Ping-Pong Server by Remote Call

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

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

1 2 MCP

29

CallCenter.js MCP + CLI

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

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

12 4 MCP

30

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

31

iMessage MCP

MCP server enabling LLM integration with macOS iMessage data.

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

16 3 MCP

32

Cal Server

Lightweight mathematical expression calculator as an MCP service

Cal Server is a simple mathematical expression calculation tool built on the FastMCP framework and designed to operate as a Model Context Protocol (MCP) service. It evaluates mathematical expressions provided via standard input/output using the expr-eval library and runs in the Bun runtime environment. The service supports core mathematical operations, built-in constants, and parameter validation with zod, making it efficient and easy to integrate into other workflows.

13 3 MCP

33

io.github.cr7258/elasticsearch-mcp-server

MCP server for seamless interaction with Elasticsearch and OpenSearch.

Implements a Model Context Protocol (MCP) server enabling robust integration with Elasticsearch and OpenSearch clusters. Offers a standardized set of tools for managing indices, documents, clusters, data streams, and aliases, along with configurable authentication and operation restrictions. Supports secure access and flexible configuration via environment variables, ensuring safe and customizable operations for various deployment scenarios.

223 47 MCP

34

MCP Google Sheets Server

Seamless Google Sheets integration for MCP clients.

Enables MCP-compatible clients to read, write, and manage Google Sheets through a dedicated server interface. Provides advanced spreadsheet operations such as batch editing, chart creation, and formatting while supporting secure authentication using Google Cloud service accounts. Offers production-grade reliability with TypeScript implementation, robust error handling, and comprehensive test coverage. Easily integrates with platforms like Claude Code, Claude Desktop, Cursor, and more.

34 9 MCP

35

Tilt MCP Server

Programmatic Access to Tilt via Model Context Protocol for LLMs

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

2 1 MCP

36

NebulaBlock API MCP Server

Expose NebulaBlock API as tools for MCP-compatible environments

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

1 2 MCP

37

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

38

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

39

Apple Health MCP Server

Connect Apple Health data with any LLM using the Model Context Protocol.

Apple Health MCP Server enables users to import, parse, and analyze Apple Health data exports, seamlessly connecting them to large language models (LLMs) that support the Model Context Protocol. Built on the high-performance FastMCP framework, it supports natural language querying, trend analysis, and integration with databases like Elasticsearch, ClickHouse, and DuckDB. The project offers modular tools for data exploration, structure analysis, and automated statistics generation. Designed for flexibility and scalability, it is container-ready and provides extensive configuration options.

64 9 MCP

40

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

41

liveblocks-mcp-server

Enable AI models to interact with Liveblocks via standardized MCP server endpoints.

liveblocks-mcp-server provides a Model Context Protocol (MCP) server allowing AI clients to access, create, modify, and delete resources within Liveblocks such as rooms, threads, comments, and notifications. The server also offers read access to Liveblocks Storage and Yjs, making it easier for AI interfaces to manage collaborative features through Liveblocks’ REST API. Integration is supported for various clients including Cursor, Claude Desktop, and VS Code. Secure authentication is handled via project-specific secret keys.

11 8 MCP

42

MKP

A Model Context Protocol server enabling LLM-powered applications to interact with Kubernetes clusters.

MKP is a Model Context Protocol (MCP) server designed for Kubernetes environments, allowing large language model (LLM) powered applications to list, retrieve, and apply Kubernetes resources through a standardized protocol interface. Built natively in Go, it utilizes Kubernetes API machinery to provide direct, type-safe, and reliable operations without dependencies on CLI tools. MKP offers a minimalist, pluggable design enabling universal resource support, including custom resource definitions, and includes built-in rate limiting for production readiness.

54 5 MCP

43

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

44

OpenAPI-MCP

Dockerized MCP server that transforms OpenAPI/Swagger specs into MCP-compatible tools.

OpenAPI-MCP is a dockerized server that reads Swagger/OpenAPI specification files and generates corresponding Model Context Protocol (MCP) toolsets. It enables MCP-compatible clients to interact dynamically with APIs described by OpenAPI specs, automatically generating the necessary tool schemas and facilitating secure API key handling. The solution supports both local and remote API specs, offers filtering by tags and operations, and can be easily deployed using Docker.

150 31 MCP

45

mcpmcp-server

Seamlessly discover, set up, and integrate MCP servers with AI clients.

mcpmcp-server enables users to discover, configure, and connect MCP servers with preferred clients, optimizing AI integration into daily workflows. It supports streamlined setup via JSON configuration, ensuring compatibility with various platforms such as Claude Desktop on macOS. The project simplifies the connection process between AI clients and remote Model Context Protocol servers. Users are directed to an associated homepage for further platform-specific guidance.

17 6 MCP

46

FHIR MCP Server

A Model Context Protocol server for seamless interaction with FHIR resources and AI tools.

FHIR MCP Server implements a full Model Context Protocol server, enabling large language model agents to perform comprehensive CRUD operations on FHIR-compliant healthcare data. It offers standardized integration with various clinical data sources, natural-language query capabilities, and supports secure authentication via OAuth2. The server includes semantic search, AI-powered document processing, terminology resolution, Docker deployment, and is optimized for use with MCP-compatible clients like Claude Desktop.

34 5 MCP

47

quran-mcp-server

MCP server to access Quran.com API with AI tool compatibility.

quran-mcp-server exposes the Quran.com corpus and associated data through a Model Context Protocol (MCP) server generated from an OpenAPI specification. It provides tool endpoints for chapters, verses, translations, tafsirs, audio, languages, and more. The server is designed for seamless integration with large language models (LLMs) and AI tools, supporting both Docker and Node.js environments. Advanced logging features and flexible deployment options are included for debugging and development.

49 10 MCP

48

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

49

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

50

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

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