Qiniu MCP Server - Alternatives & Competitors

Ranked by Relevance

• 1
  

  QuantConnect MCP Server

  Official bridge for secure AI access to QuantConnect's algorithmic trading cloud platform

  QuantConnect MCP Server enables artificial intelligence systems such as Claude and OpenAI to interface with QuantConnect's cloud platform through an official, secure, and dockerized implementation of the Model Context Protocol (MCP). It facilitates automated project management, strategy writing, backtesting, and live deployment by exposing a comprehensive suite of API tools for users with valid access credentials. As the maintained official version, it ensures security, easy deployment, and cross-platform compatibility for advanced algorithmic trading automation.

  50 19 MCP
• 2
  

  Box MCP Server (Remote)

  Securely connect AI agents to Box content and Box AI using the Model Context Protocol.

  Box MCP Server (Remote) enables AI agent platforms to securely interact with Box data and AI-powered tools via the Model Context Protocol. It supports OAuth-based authentication and provides various capabilities, including user identification, file and folder operations, and access to Box AI tools. The service exposes an endpoint for easy integration by MCP-compatible clients while ensuring data never leaves the Box environment. It offers both admin console and developer console setup options and comprehensive documentation for connection.

  0 3 MCP
• 3
  

  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
• 4
  

  Outsource MCP

  Unified MCP server for multi-provider AI text and image generation

  Outsource MCP is a Model Context Protocol server that bridges AI applications with multiple model providers via a single unified interface. It enables AI tools and clients to access over 20 major providers for both text and image generation, streamlining model selection and API integration. Built on FastMCP and Agno agent frameworks, it supports flexible configuration and is compatible with MCP-enabled AI tools. Authentication is provider-specific, and all interactions use a simple standardized API format.

  26 5 MCP
• 5
  

  Unsplash MCP Server

  Seamless Unsplash image integration via the Model Context Protocol.

  Unsplash MCP Server provides a simple and robust interface to search and integrate high-quality Unsplash images through the Model Context Protocol (MCP). It offers advanced photo search capabilities with filters for keywords, color schemes, orientation, and sorting. Designed for easy integration with development environments such as Cursor and Smithery, it simplifies embedding Unsplash image search into AI and automation workflows.

  186 20 MCP
• 6
  

  box-mcp-server

  Expose your Box files to AI with a Model Context Protocol server.

  box-mcp-server lets users connect their Box accounts to AI applications via the Model Context Protocol (MCP). It securely authenticates to Box with enterprise credentials or developer tokens and serves file search and reading capabilities to downstream clients. Designed for use with Claude Desktop and the MCP Inspector, it provides seamless integration of Box documents into AI workflows.

  10 11 MCP
• 7
  

  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
• 8
  

  piapi-mcp-server

  TypeScript-based MCP server for PiAPI media content generation

  piapi-mcp-server is a TypeScript implementation of a Model Context Protocol (MCP) server that connects with PiAPI to enable media generation workflows from MCP-compatible applications. It handles image, video, music, TTS, 3D, and voice generation tasks using a wide range of supported models like Midjourney, Flux, Kling, LumaLabs, Udio, and more. Designed for easy integration with clients such as Claude Desktop, it includes an interactive MCP Inspector for development, testing, and debugging.

  62 23 MCP
• 9
  

  Coinmarket MCP server

  Access CoinMarketCap data through MCP for AI models and tools

  Coinmarket MCP Server provides an interface for accessing CoinMarketCap cryptocurrency data via the Model Context Protocol. It supports retrieving the latest currency listings and token quotes using custom URI schemes. The server is compatible with environments like Claude Desktop and Docker, and requires a CoinMarketCap API key for operation.

  43 15 MCP
• 10
  

  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
• 11
  

  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
• 12
  

  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
• 13
  

  Portainer MCP

  Connect AI assistants securely to Portainer environments using the Model Context Protocol.

  Portainer MCP is an implementation of the Model Context Protocol (MCP) designed for seamless integration between AI assistants and Portainer-managed container environments. It enables management of Portainer resources and allows execution of Docker and Kubernetes commands through AI interfaces in a secure, standardized manner. The tool provides direct protocol-based access to environment data, facilitating automation and operational insights for container infrastructures.

  81 16 MCP
• 14
  

  mcp-server-qdrant

  Official Model Context Protocol server for seamless integration with Qdrant vector search engine.

  mcp-server-qdrant provides an official implementation of the Model Context Protocol for interfacing with the Qdrant vector search engine. It enables storing and retrieving contextual information, acting as a semantic memory layer for LLM-driven applications. Designed for easy integration, it supports environment-based configuration and extensibility via FastMCP. The server standardizes tool interfaces for managing and querying contextual data using Qdrant.

  1,054 187 MCP
• 15
  

  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
• 16
  

  Open Feishu MCP Server

  A Cloudflare-based remote MCP server with integrated Feishu OAuth authentication.

  Open Feishu MCP Server provides a fully functional remote Model Context Protocol (MCP) server with integrated Feishu OAuth support. It enables zero-configuration user authentication and context management via Feishu accounts and is optimized for usability and tool set performance. Designed for deployment on Cloudflare Workers, it offers scalable, secure connectivity with multiple clients and supports seamless integration with various tools and platforms.

  66 9 MCP
• 17
  

  Braintree MCP Server

  Enables AI assistants to securely access and manage Braintree payment processing via MCP.

  Braintree MCP Server implements the Model Context Protocol (MCP) to provide AI assistants with structured, direct access to PayPal Braintree's payment services. It supports both STDIO and Server-Sent Events (SSE) transports, facilitating integration with AI clients and standalone web-based deployments. The server allows execution of GraphQL queries against Braintree, supports multi-client access, and handles authentication through environment-based configuration. Designed for secure, extensible, and automated payment operations in AI-driven workflows.

  3 3 MCP
• 18
  

  ImageSorcery MCP

  Local image recognition and editing tools for AI assistants

  ImageSorcery MCP provides AI assistants with advanced image processing capabilities, all executed locally for privacy and efficiency. It offers a suite of tools for editing, analyzing, and enhancing images, including cropping, resizing, object detection, and OCR. The software leverages pre-trained models and OpenCV techniques to handle a wide range of image tasks without requiring cloud services. Designed for AI integration, it allows natural language prompts to control image manipulation and recognition workflows.

  236 30 MCP
• 19
  

  @nanana-ai/mcp-server-nano-banana

  MCP server for Nanana AI image generation using Gemini's nano banana model.

  @nanana-ai/mcp-server-nano-banana serves as an MCP (Model Context Protocol) compatible server for facilitating image generation and transformation powered by the Gemini nano banana model. It enables clients like Claude Desktop to interact with Nanana AI, processing text prompts to generate images or transform existing images. The server can be easily configured with API tokens and integrated into desktop applications. Users can manage credentials, customize endpoints, and monitor credit usage seamlessly.

  3 2 MCP
• 20
  

  Developer MCP Server

  A powerful MCP server for developer tools including file editing, shell commands, and screen capture.

  Developer MCP Server is a general purpose server that implements the Model Context Protocol, offering tools for developers such as file editing, shell command execution, and screen capturing. Built with the rmcp crate, it provides secure and cross-platform operations with file access controls that respect gitignore patterns. The server integrates seamlessly with compatible MCP clients like Claude Desktop and supports advanced workflow management features. Security, workflow branching, and context preservation make it suitable for complex problem-solving and development automation.

  16 7 MCP
• 21
  

  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
• 22
  

  Mem0 MCP Server

  Structured management of coding preferences using Mem0 and Model Context Protocol.

  Mem0 MCP Server implements a Model Context Protocol-compliant server for storing, retrieving, and searching coding preferences. It integrates with Mem0 and offers tools for persistent management of code snippets, best practices, and technical documentation. The server exposes an SSE endpoint for clients like Cursor, enabling seamless access and interaction with coding context data.

  506 104 MCP
• 23
  

  VS Code MCP Server

  Connect Claude and other MCP clients to code directly in VS Code.

  VS Code MCP Server is a Visual Studio Code extension that enables AI coding agents, such as Claude, to interact with a user's codebase through the Model Context Protocol. It provides VS Code-specific capabilities like symbol search and document outlines, leveraging the editor's built-in features. The server communicates using a streamable HTTP MCP API and can execute shell commands for advanced operations. It is ideal for extending the coding capabilities of AI models without duplicating existing developer tools.

  280 54 MCP
• 24
  

  Amazon Bedrock MCP Server

  Model Control Protocol server for AI image generation via Amazon Bedrock's Nova Canvas.

  Amazon Bedrock MCP Server implements the Model Control Protocol to enable advanced AI image generation using Amazon's Nova Canvas model. It provides features like deterministic output through seed control, negative prompts, and configurable quality and image dimensions. Secure and flexible AWS credential management is supported, along with integration for Claude Desktop and robust input validation. The solution ensures high-quality, reproducible image generation workflows tailored for both developers and integrated applications.

  22 12 MCP
• 25
  

  MCP Server for Iaptic

  A Model Context Protocol server for accessing and managing Iaptic data with AI agents.

  MCP Server for Iaptic implements the Model Context Protocol to enable AI models, such as Claude, to securely and efficiently interact with Iaptic's customer, purchase, transaction, and statistics data. The server provides a standardized interface and command set for querying and managing information related to customers, purchases, transactions, events, and application management. Designed for integration with Claude Desktop and similar AI clients, it offers both automated and manual installation options.

  5 7 MCP
• 26
  

  Snowflake MCP Server

  MCP server enabling secure and structured Snowflake database interaction with AI tools.

  Snowflake MCP Server provides a Model Context Protocol-conformant interface to interact programmatically with Snowflake databases. It exposes SQL execution, schema exploration, and insight aggregation as standardized resources and tools accessible by AI assistants. The server offers read/write capabilities, structured resource summaries, and insight memoization suitable for contextual AI workflows. Integration is supported with popular AI platforms such as Claude Desktop via Smithery or UVX configurations.

  170 75 MCP
• 27
  

  mcp-server-opendal

  Model Context Protocol server for accessing diverse storage services via Apache OpenDAL.

  mcp-server-opendal is an implementation of the Model Context Protocol (MCP) that offers seamless access to a variety of storage services through Apache OpenDAL. It enables listing and reading files from services like S3, Azure Blob Storage, and Google Cloud Storage, while supporting environment variable-based configuration. The tool integrates with platforms such as Claude Desktop and can be easily configured using environment variables or a .env file.

  33 7 MCP
• 28
  

  Firebase MCP

  Connect AI assistants with Firebase services seamlessly using MCP.

  Firebase MCP enables AI assistants to interact directly with Firebase services such as Firestore, Storage, and Authentication. It provides a server that integrates with established MCP clients, allowing tools to perform database operations, manage files, and handle user authentication within Firebase environments. The solution offers flexible setup options, including npx-based and local installations, and supports both stdio and HTTP transports for integration. Environment variables configure specific Firebase credentials and server behavior to ensure secure and reliable connections.

  229 42 MCP
• 29
  

  Pinecone Assistant MCP Server

  An MCP server for retrieving information from Pinecone Assistant.

  Pinecone Assistant MCP Server is an implementation of the Model Context Protocol (MCP) for seamless integration with Pinecone Assistant. It enables retrieval of information and supports configurable multiple result fetching. The server can be run via Docker or built from source with Rust and integrates with tools like Claude Desktop.

  37 7 MCP
• 30
  

  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
• 31
  

  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
• 32
  

  Qlik MCP Server

  Connect Claude AI to Qlik Cloud applications and extract insights via the Model Context Protocol.

  Qlik MCP Server enables integration between Claude AI and Qlik Cloud applications through the Model Context Protocol (MCP). It exposes API tools for listing Qlik apps, retrieving sheets and charts, and extracting chart data programmatically. The server supports deployment via Docker, Deno, or Node.js, and can be configured for use with tools like Claude Desktop and Cursor. The setup emphasizes secure handling of Qlik Cloud credentials and flexible environment configuration.

  7 5 MCP
• 33
  

  MCP Rubber Duck

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

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

  56 7 MCP
• 34
  

  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
• 35
  

  Couchbase MCP Server

  Enable LLMs to interact directly with Couchbase clusters via the Model Context Protocol.

  Couchbase MCP Server provides an MCP-compliant server for connecting Large Language Models to Couchbase clusters. It supports various database operations such as bucket and collection listing, document retrieval, upsert, and deletion, as well as running SQL++ queries and retrieving index information. Designed for easy integration with MCP clients like Claude Desktop, it includes features for secure authentication and query mode configuration. The server can be deployed using a prebuilt PyPI package or directly from source.

  24 28 MCP
• 36
  

  Filestash

  A modular, extensible file manager with robust API and LLM Model Context Protocol (MCP) integration.

  Filestash is a versatile file manager that supports a wide range of backends including FTP, SFTP, WebDAV, S3, SMB, and popular cloud storage services such as Dropbox and Google Drive. It features a plugin-driven architecture and workflow engine for customization and automation and offers built-in viewers for images, music, and video. Filestash provides an API interface and explicit LLM integration via Model Context Protocol (MCP), enabling advanced file management automation and AI-driven workflows.

  13,013 930 MCP
• 37
  

  PDF Tools MCP

  Comprehensive PDF manipulation via MCP protocol.

  PDF Tools MCP provides an extensive suite of PDF manipulation operations using the Model Context Protocol framework. It supports both local and remote PDF tasks, such as rendering pages, merging, extracting metadata, retrieving text, and combining documents. The tool registers endpoints through the MCP protocol, enabling seamless server-based PDF processing for various clients. Built with Python, it emphasizes secure handling and compatibility with Claude Desktop via the Smithery ecosystem.

  31 8 MCP
• 38
  

  Pix MCP Server

  Generate static Pix QR codes via natural language through Model Context Protocol.

  Pix MCP Server enables AI agents and tools to generate static Pix QR codes for payments using Model Context Protocol (MCP). It offers a secure, lightweight, and type-safe server that supports both stdio (MCP) and HTTP interfaces, requiring no external API dependencies. The implementation follows BACEN EMV 4.0 standards for Pix payments and is compatible with tools such as Claude Desktop, Cursor, and Windsurf. Configuration is straightforward, making it suitable for quick integration into MCP-supporting environments.

  2 3 MCP
• 39
  

  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
• 40
  

  CLI MCP Server

  A secure MCP server for controlled command-line operations.

  CLI MCP Server provides a secure implementation of the Model Context Protocol (MCP) for executing command-line operations with robust security features. It enables controlled CLI access by enforcing command and flag whitelisting, path validation, and shell operator restrictions, making it suitable for integration with large language model applications. Designed for configurable deployment, it supports detailed error reporting, execution timeouts, and strict working directory controls.

  155 28 MCP
• 41
  

  MCP Server Kubernetes

  Connect and manage Kubernetes clusters via Model Context Protocol servers.

  MCP Server Kubernetes enables seamless connection and management of Kubernetes clusters through the Model Context Protocol. It supports loading kubeconfig from multiple sources, integrates easily with Claude Code, Claude Desktop, and VS Code, and offers flexible authentication mechanisms. Users can control clusters using standard command-line tools and extension integrations for multiple environments.

  1,181 194 MCP
• 42
  

  QR Code Generation MCP Server

  Generate customizable QR codes from text via an MCP-compliant server.

  Provides a server for generating QR codes from text input using the Model Context Protocol (MCP), supporting multiple transport modes such as STDIO, HTTP, and SSE. Allows customization of QR code appearance with options for color, style, and encoding settings. Outputs QR codes as base64 strings for easy integration or direct use in applications. Designed for compatibility with platforms like Claude Desktop and deployments using Docker or direct Python API usage.

  11 4 MCP
• 43
  

  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
• 44
  

  Fal.ai MCP Server

  MCP server for multimodal media generation using Fal.ai models.

  Fal.ai MCP Server is a Model Context Protocol (MCP) compliant server that enables clients like Claude Desktop and others to generate images, videos, music, audio, and transcriptions using Fal.ai models. It offers native asynchronous operation and supports both STDIO and HTTP/SSE transports for flexible integration. The server provides high-performance media generation, including upscaling, text-to-speech, audio transcription, and image-to-image transformations, all powered by Fal.ai's API. Easy deployment options are available via Docker, PyPI, or from source.

  9 4 MCP
• 45
  

  MySQL MCP Server

  Secure MCP interface for MySQL database interaction with AI applications.

  MySQL MCP Server implements the Model Context Protocol (MCP) to provide a secure bridge between AI applications and MySQL databases. It enables structured exploration and controlled queries through a standardized communication interface, ensuring safe and logged access to data. Designed for integration with tools such as Claude Desktop and Visual Studio Code, MySQL MCP Server allows users to list, read, and query MySQL tables securely. Environment variable-based configuration and comprehensive logging enhance its reliability for sensitive database interactions.

  980 203 MCP
• 46
  

  BigQuery MCP Server

  Enables LLMs to securely converse with BigQuery data using natural language.

  BigQuery MCP Server acts as a bridge between large language models and Google BigQuery, allowing natural language interactions with database data through the Model Context Protocol. Designed for integration with Claude Desktop, it securely processes user queries and translates them into SQL, streamlining data access and minimizing manual query writing. The tool ensures safe and read-only data operations, supports both tables and materialized views, and labels resource types for easier exploration. Installation is possible via Smithery or manual setup, with a focus on developer-friendliness and robust authentication options.

  129 31 MCP
• 47
  

  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
• 48
  

  Stocky

  Find beautiful royalty-free stock images across multiple providers in one search.

  Stocky enables fast, asynchronous search and retrieval of royalty-free stock images from Pexels and Unsplash through a unified MCP-compatible interface. It supports rich metadata, provider flexibility, pagination, and robust error handling. Designed to operate as an MCP (Model Context Protocol) server, it integrates with MCP clients using standard client configuration and environment variables for API keys. Stocky provides Python async functions for searching, retrieving details, and downloading images with flexible output options.

  14 7 MCP
• 49
  

  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
  

  MCP Filesystem Server

  Secure asynchronous file system access via the Model Context Protocol

  MCP Filesystem Server provides secure access to local files and directories through a standardized interface following the Model Context Protocol (MCP). It offers a set of tools for reading, writing, modifying, searching, and managing files and directories, with robust safeguards for path validation, symlink handling, and directory access. Designed to be used as a standalone server or integrated as a Go library, it facilitates safe and efficient programmatic file operations for AI-model-driven agents.

  552 87 MCP