Cloud platform service integration. Enables management and interaction with cloud infrastructure and services.
Deploy your project to the cloud seamlessly with the Defang platform without leaving your integrated development environment
Firebase's experimental MCP Server to power your AI Tools
Deploy code to Google Cloud Run
Interact with the Heroku Platform through LLM-driven tools for managing apps, add-ons, dynos, databases, and more.
Interact with Hyperbolic's GPU cloud, enabling agents and LLMs to view and rent available GPUs, SSH into them, and run GPU-powered workloads for you.
Easily Build and Deploy unikernels to any cloud.
The Redis Cloud API MCP Server allows you to manage your Redis Cloud resources using natural language.
Seamlessly integrate with Terraform ecosystem, enabling advanced automation and interaction capabilities for Infrastructure as Code (IaC) development powered by Terraform
Read/write to over 2k blockchains, enabling data querying, contract analysis/deployment, and transaction execution, powered by Thirdweb
Deploy smart contracts, mint NFTs, manage IPFS storage, and more through the Verbwire API
Interact with Webflow sites, pages, and collections
An MCP server for providing serverless cloud infrastructure for AI agents.
A comprehensive MCP server for tooling interactions (40+) and resource accessibility (60+) plus many useful prompts for interacting with the Algorand blockchain.
Interact with Atlassian Cloud products (Confluence and Jira) including searching/reading Confluence spaces/pages, accessing Jira issues, and project metadata.
Perform operations on your AWS resources using an LLM.
Optimize your AWS spend (including Amazon Bedrock spend) with this MCP server by examining spend across regions, services, instance types and foundation models (demo video).
Run generated python code to securely query or modify any AWS resources supported by boto3.