Cloud Services MCP Repositories
1603 repositories in this category.
pydbcx-mcp
→
Python-based MCP server that facilitates communication with various data sources such as databases and web services through a JDBCX server interface.
strava-mcp
→
Access and manage Strava data, including recent activities, profile stats, and detailed activity streams. Supports exploration of segments, management of routes, and exporting route files in GPX or TCX format.
mcp
→
Integrate and interact with Twilio services directly through the Model Context Protocol, enabling AI assistants to access Twilio APIs seamlessly. This implementation enhances the capabilities of AI applications by allowing communication with Twilio's messaging, voice, and other communication services.
gcp-mcp
→
Interact with Google Cloud Platform resources using natural language to manage and query GCP environments effortlessly. Supports multiple projects and ensures secure handling of credentials while executing tasks locally.
gsuite-mcp
→
Manage emails and calendar events through a unified interface by interacting with Gmail and Calendar APIs. Automate tasks such as sending emails and scheduling events programmatically.
time-mcp-server
→
Provides current time information and performs timezone conversions using IANA timezone names. Supports querying system or specified timezones for accurate time-related calculations.
mcp-apikit
→
Integrates with Eolink OpenAPI to retrieve and manage API specifications within the Windsurf IDE. Facilitates API discovery, testing, and standardized communication through the Model Context Protocol.
.github
→
Manage global configurations to enhance collaboration and customize workflows. Utilize tailored settings to improve the development experience while integrating with GitHub Copilot.
mcp-mail-gateway
→
Offers standardized access to electronic mail services, supporting both IMAP retrieval and SMTP transmission protocols for comprehensive messaging operations.
influxdb-mcp-server
→
Access and manage InfluxDB time-series data, execute queries, write data, and utilize templates for common operations. Provides resources for organization, bucket, and measurement data management.
deepl-mcp-server
→
Provides translation and rephrasing capabilities using the DeepL API, enabling seamless multilingual communication with automatic language detection and control over formality.
cursor-mcp-installer
→
Automates the installation and configuration of MCP servers for Cursor, using npm or PyPi. Supports both local and package-based server setups, streamlining the process for users.
markai
→
MarkAI is a platform that enables users to ask questions and receive answers derived from their documents, providing efficient data access. It supports various file formats and offers both public and private collaboration options.
mcp-esp8266-manager
→
A dedicated server utility for orchestrating ESP8266/NodeMCU Internet-of-Things endpoints, offering real-time operational oversight, remote execution of directives, and dynamic parameter adjustments. It natively incorporates the Model Context Protocol (MCP) for seamless integration with advanced cognitive agents via RESTful and WebSocket interfaces.
n8n-workflow-builder
→
Manage n8n workflows by listing, creating, updating, activating, and deleting them through a standardized MCP interface. Access detailed workflow and execution data to enhance context and control in automation environments.
deepl-mcp-server
→
Translate text between multiple languages using the DeepL API, providing real-time translation capabilities and access to a comprehensive list of supported languages.
GemSuite-MCP-AI-Orchestrator
→
A robust Model Context Protocol (MCP) implementation leveraging the Gemini family of models. It specializes in intelligent inference path selection and sophisticated management of diverse data artifacts (files). Designed to streamline and maximize the efficiency of AI workloads across various input formats.
awesome-remote-mcp-servers
→
A curated collection of high-quality remote Model Context Protocol (MCP) servers facilitating secure integration of AI models with external tools and resources over the internet. This repository emphasizes production-ready services with official support and robust security measures.
firestore-mcp
→
Interact with Google Firestore to manage documents efficiently. Supports creating, reading, updating, deleting, and querying documents with configurable filters and ordering.
konnect-mcp-handler
→
An adapter implementing the Model Context Protocol (MCP) for seamless, conversational access to the Kong Konnect API ecosystem. It empowers AI agents to dynamically query operational metrics, inspect intricate gateway configurations, and retrieve control plane intelligence without manual CLI interaction.
mcp-server-opensearch
→
Create a semantic memory layer on top of OpenSearch to facilitate LLM applications by integrating external data sources and tools.
mcp-package-version
→
Provides tools for checking the latest stable package versions across multiple registries, including npm, PyPI, Maven Central, Go Proxy, and others. Enables AI models to recommend up-to-date package versions for various programming languages and tools.
verodat-mcp-gateway
→
A Model Context Protocol (MCP) server facilitating secure linkage between Verodat's robust data orchestration layer and sophisticated artificial intelligence environments for advanced data operations.
thegraph-mcp
→
Fetch indexed blockchain data using GraphQL queries from The Graph's subgraphs, enabling structured access to blockchain information for AI agents.
mcp-server-rabbitmqkenlio
→
Interact with RabbitMQ queues and topics, enabling read and write operations through a standardized protocol. Facilitates the integration of messaging workflows with AI models.
nearby-search-mcp
→
Search for nearby places using IP-based location detection and Google Places integration. Provides a customizable interface to filter results based on keywords and radius.
windsurf-supabase-mcp
→
Integrate a Supabase database with the Windsurf Editor, providing real-time query validation and optimized response formatting for UI components. The server improves error handling and SQL query processing for better interaction experiences.
aws-s3-management-utility
→
Facilitates comprehensive administration of Amazon Simple Storage Service (S3) assets, encompassing bucket lifecycle governance, object metadata manipulation (tags), access control mechanism deployment (policies), and cross-origin resource sharing (CORS) configuration.
gqai
→
Expose GraphQL backend operations as callable tools for AI models, enabling seamless integration of GraphQL queries and mutations. Automatically generate an MCP server from GraphQL schemas and operations for AI invocation with or without arguments.
mcp-server-stability-ai
→
Provides functionality for generating, editing, and upscaling images through Stability AI's API.
