Cloud Services MCP Repositories

Facilitate bidirectional data exchange with the InterPlanetary File System (IPFS) via the Pinata service layer, granting an LLM environment capabilities for secure data ingress, retrieval, and lifecycle management.

Interact with the Glide API, manage app information, and perform CRUD operations on tables and rows. Supports both Glide API versions for seamless integration.

Manage ArgoCD applications and resources through natural language interactions, integrating directly with the ArgoCD API for application creation, updates, synchronization, and user information retrieval.

Access Google Analytics 4 data to retrieve metrics on page views, user tracking, event analysis, and user behavior metrics such as session duration and bounce rate.

A specialized Model Context Protocol (MCP) interface enabling sophisticated natural language communication with MongoDB instances. It furnishes LLMs with capabilities to perform deep schema analysis, execute complex data retrieval operations, and manage database contents via plain English instructions.

A Model Context Protocol (MCP) intermediary designed to establish connectivity between generative AI agents (like Claude) and personal or professional Notion environments, enabling automated interaction with structured data, documents, and content hierarchy.

Provides intelligent access to PowerPlatform/Dataverse entities, enabling metadata exploration, advanced OData query support, and relationship visualization. Facilitates AI-assisted query building and data modeling, enhancing the development experience with context-aware prompts and insights.

Enables AI agents to manage projects and tasks within a self-hosted OpenProject instance, facilitating CRUD operations through a serverless MCP endpoint. Supports secure environment handling and SSE client connections via proxy bridging.

Deploy a remote MCP server on Cloudflare Workers without requiring authentication, enabling seamless integration of custom tools and connectivity to various AI applications.

A specialized MCP backend component designed to orchestrate image synthesis tasks via a Cloudflare Edge Function. This system facilitates non-blocking image creation workflows, delivers immediate operational status updates, and manages execution failures. It exposes a strongly-typed programmatic interface for submitting textual inputs to initiate visual asset production.

Integrates AI models with external data and tools to enhance user interactions and decision-making by providing real-time context integration.

Analyzes YouTube videos using the Gemini Vision API to extract insights such as descriptions, summaries, and key moments. Enhances video interactions by providing information and answers to user inquiries.

Bridge Unity's development environment with large language models to enable AI-driven interaction with Unity's tools, facilitating rapid prototyping, automation, and advanced workflows. Connects to multiple LLM clients for enhanced development productivity.

Interact with SingleStore databases to execute queries, describe schemas, and generate ER diagrams. It supports SSL connections and includes error handling with TypeScript type safety.

An automation platform that enables the creation of workflows by integrating over 400 tools and services, providing both code-based and no-code solutions. It supports building AI agent workflows using user-defined data and models with JavaScript or Python.

Facilitate the integration of personal fitness metrics from your Strava account directly into the Claude Desktop environment for immediate analysis and contextual retrieval.

Provides a secure MCP server implementation utilizing Server-Sent Events (SSE) for real-time streaming of JSON-RPC messages, facilitating interaction between LLM applications and MCP servers via HTTP. Supports tool listing, calling, and integration with debugging tools like MCP Inspector.

An open-source, distributed data repository engineered specifically for high-volume, time-series observability data, encompassing metrics, event logs, and telemetry traces. It facilitates near real-time data interrogation across distributed cloud topologies and edge deployments, boasting robust native support for declarative query languages such as standard SQL and PromQL for streamlined analytics.

Facilitates seamless interactions between AI assistants and APIs by using Cloudflare Workers to build and deploy scalable MCP servers. Provides a powerful solution to enhance AI capabilities while ensuring ease of integration and security.

Provides access to BigQuery for inspecting database schemas and executing SQL queries against datasets.

Aggregates capabilities from multiple backend MCP servers and exposes them through a unified SSE endpoint, streamlining client connections and enabling orchestration of diverse MCP tools.

Agi Proxy resolves issues related to accessing OpenAI services by acting as an intermediary, facilitating improved performance and reliability in AI interactions. It streamlines the integration of OpenAI capabilities into applications, making it easier for developers to utilize these features without direct access challenges.

Integrates Gmail with AI models using Google Apps Script to facilitate interactions with Gmail accounts. Enables functionalities such as reading emails, sending messages, and managing inboxes through the Model Context Protocol.

Engineer, launch, and maintain persistent artificial intelligence entities designed to execute intricate operational sequences, utilizing either a repository of pre-validated modules or bespoke agent constructions.

A vector database designed for integrating LLM applications, enabling seamless data retrieval and management through advanced search capabilities and document operations. Supports memory and context enhancement for AI models with efficient embedding functions.

Provides secure access to project files with capabilities for performing batch operations on files and directories. Facilitates efficient workflow management with a comprehensive set of filesystem tools.

A Model Context Protocol (MCP) service layer designed to interface with Teradata data systems. This gateway facilitates the execution of Structured Query Language (SQL) statements, performs database administration tasks, and allows for interactive examination of stored database structures. It utilizes standard I/O streams and server-sent events for bidirectional communication with intelligent agents and external tools.

Converts OpenAPI Specification endpoints into MCP tools dynamically for integration between REST APIs and AI agents. Proxies requests in real-time, enabling existing REST APIs to function as MCP tools with support for debugging and authentication.

A robust Model Context Protocol (MCP) server facilitating deep, bidirectional communication and operational control between AI agents (like Claude) and Blackmagic Design's DaVinci Resolve Studio environment. This module abstracts complex functionalities—encompassing non-linear editing, advanced color correction workflows, Fairlight audio mixing, motion graphics orchestration via Fusion, and comprehensive project lifecycle management (creation, archival, rendition)—into standardized API calls.

Provides a virtual machine environment for executing code and interacting with virtualized resources. Integrates LLMs with a sandboxed VM to securely run tools and access resources in an isolated execution context.