Enables AI assistants to interact with and manage Google Cloud Platform resources using natural language.
Manages multiple Fireproof JSON document databases via the Model Context Protocol for integration with AI systems.
Build a programmable telecommunications stack for connecting telephony services with the Internet via a cloud-based utility.
Extends the mem0 cloud service to provide project memory storage, semantic search, and structured data handling for project management.
Maintains a comprehensive directory of publicly accessible Model Context Protocol (MCP) servers, enabling interaction between large language models and external systems.
Implements an MCP server for Google Cloud resources using Go.
Bridges Apache Kafka and Apache Pulsar protocols to enable AI agents to interact with streaming data.
Enables the use of Alibaba Cloud ESA (Edge Routine) services through the MCP protocol.
Connects Large Language Models (LLMs) and AI clients to live Cloudant data via a Model Context Protocol (MCP) interface.
Enables querying live Salesforce Data Cloud data from Large Language Models (LLMs) like Claude Desktop via a Model Context Protocol (MCP) interface.
Empowers Large Language Models to make HTTP requests and interact with web APIs through a secure, controlled interface.
Provides a unified interface for managing Oracle Cloud Infrastructure services, optimized for VS Code integration.
Enables AI assistants to interact with Google Cloud Platform services, primarily for log analysis and root cause investigation.
Delivers Tencent Cloud SDK documentation and API resources to Large Language Model (LLM) tools, enhancing AI agent understanding and interaction with Tencent Cloud services.
Democratize access to petabytes of satellite data by transforming AI assistants into geospatial intelligence powerhouses.
Provides intelligent code context and analysis for modern IDEs by leveraging semantic analysis, AST parsing, and token-efficient compression for AI assistants.
Enables Claude to interact with Infracost for Terraform cost estimation and cloud resource governance.
Empowers AI clients to manage Railway.app cloud infrastructure by deploying services, managing variables, and monitoring deployments through natural language commands.
Facilitates comprehensive Google Cloud Platform operations by querying logs, monitoring services, and debugging deployments through the gcloud CLI.
Enables natural language trading operations by connecting AI assistants to Alpaca's Trading API.
Integrate Infomaniak cloud services with AI assistants like Claude for streamlined management of domains, email, web hosting, and infrastructure.