Cloud Services MCP Repositories

A robust TypeScript foundation for creating bespoke Model Context Protocol (MCP) execution engines. This scaffold facilitates secure integration between cognitive agents and disparate external data repositories or API endpoints, featuring native support for IP address introspection utilities and comprehensive command-line tooling.

Connects Claude to a Redmine instance for project and issue management, enabling browsing of projects, creating and updating issues, handling file attachments, tracking time entries, and updating issue statuses through the Redmine API.

Facilitates software development workflows by enabling automated creation, modification of files, execution of system commands, and controlled web browser interaction, all subject to explicit user authorization.

Manage PEM wallets for the MultiversX blockchain, retrieve wallet addresses, check balances, and send various token types including EGLD and NFTs. Offers functionalities for wallet creation and token issuance.

Integrate with Google Calendar to manage events using natural language commands, enabling the creation, updating, and deletion of calendar events. Supports recurring events through designated parameters for enhanced scheduling flexibility.

A Flask-based server for implementing the Model Context Protocol (MCP), enabling Large Language Models to invoke external tools directly based on natural language responses. It supports maintaining conversation context and provides sample tools for tasks like weather queries and calculations.

Connect to Airtable to perform operations such as querying, creating, updating, and deleting records using natural language. Supports base management, table operations, schema manipulation, record filtering, and data migration through a standardized MCP interface.

Facilitates the development of AI applications tailored to specific business scenarios, allowing integration of AI models with various tools and data sources. Provides a high-code SDK and prototype application code to support rapid deployment for small and medium enterprises.

Manage and interact with Kubernetes clusters through a Model Context Protocol server utilizing SSE transport for API calls. Simplifies Kubernetes operations integration into LLM applications with secure management capabilities.

A customer support application providing a real-time chat interface that integrates with Azure OpenAI, enabling responsive communication and support. Built using React and Node.js, it features secure API integration and error handling capabilities.

Manage deployments, DNS records, and environment variables through the Vercel API. Automate interactions with Vercel projects directly from your development environment.

Connects AI tools with Pinecone projects for enhanced development productivity. Enables searching documentation, configuring indexes, generating code, and managing data operations within development environments.

Integrate video database management capabilities with agents by connecting to the VideoDB Director MCP server. Manage video-related tools and resources efficiently through a seamless connection in MCP clients.

Bridge AI models with the Steampipe tool to enable seamless execution of SQL queries on various data sources. Retrieve structured results and simplify data access for AI-driven insights within workflows.

Interact with Sentry to retrieve and analyze error reports and debugging information. Inspect issues through their IDs or URLs, including details like status, timestamps, and stack traces.

Integrates Jina.ai's Grounding API with language models to provide real-time web content for enhancing responses. It offers efficient web content grounding capabilities optimized for generating factual information in LLM outputs.

Interact with Redis for caching and key-value storage operations, including basic operations on keys, lists, hashes, and sets.

Manage identity and access workflows by handling providers, clients, tenants, and access tokens through the UseGrant API. Automate domain verification, policy management, and token validation for secure access control.

Control Govee LED devices using the Govee API, enabling management of lighting functionalities such as color changes and brightness adjustments.

Provides access to NebulaGraph 3.x for graph exploration, including schema management, query execution, and shortcut algorithms, compliant with the Model Context Protocol.

A lightweight control panel tool designed to simplify Kubernetes cluster management with an intuitive user interface. It provides AI-driven resource guidance and command recommendations, supports multi-cluster management, and enables integration with custom large models.

Access Gmail inbox to view recent emails and perform searches using Gmail's syntax. Utilizes OAuth2 authentication for secure interactions with Gmail accounts.

Node.js service for interacting with the LnExchange API, providing capabilities for spot trading with minimal setup and management.

Interact with Paystack services to create and manage products, handle customer management, process transactions, manage authorizations, access bank information, and export transaction data.

Translates MCP tool calls into traditional HTTP API requests, enabling integration of existing APIs with the Model Context Protocol for enhanced data access and manipulation. Facilitates seamless communication between AI models and various HTTP services.

Access renewable energy news and information focused on projects in Germany, enabling users to filter announcements by geographic locations and various renewable energy topics. Supports date range and recency-based queries for structured and secure data retrieval.

Integrate real-time and historical financial market data, including stock, forex, and cryptocurrency information, through a standardized MCP service. Access technical and fundamental indicators seamlessly for application development.

Provides access to a Notion knowledge base for querying and retrieving detailed answers with references to specific Notion pages, enhancing productivity within the development environment.

Interact with Kubernetes clusters using kubectl for managing and orchestrating containerized applications, deployments, and services.

A robust server offering secure, sandboxed execution of arbitrary code within disposable Docker instances. It facilitates custom environment setup, I/O operations, and verbose, streaming feedback for command runs.