Search

Deploy and operate self-hosted OpenClaw across AWS, GCP, Azure and local VMs — a CLI and an MCP server in one. Infrastructure changes go through a deploy plan you review before applying, destructive tools confirm first, and every call is audit-logged.

MCP server for pre-deployment cloud architecture review. Lets AI agents like Codex, Cursor, Claude Code and VS Code evaluate Azure ARM templates, Bicep (compiled to ARM), live Azure environments and AWS CloudFormation (beta), generate architecture diagrams, and return evidence-backed cost, security and Well-Architected findings from 1,650+ checks. MCP registry name: io.github.ganakailabs/cloudeval.

Correction: this replaces our earlier "Cloudeval" submission, which had the wrong repo link (ganakailabs/cloudeval). Cloudeval AI gives coding agents read-only access to Cloudeval projects, architecture graphs, and cost and Well-Architected reports. It reviews ARM JSON templates, Bicep compiled to ARM, live Azure environments through Cloud sync, and AWS CloudFormation statically (beta), using 1,650+ attributed cloud and IaC checks. Runs locally over stdio: npx -y @ganakailabs/cloudeval-cli mcp serve --toolset readonly. Works with Codex, Cursor, Claude Code and VS Code. Requires a Cloudeval account and CLOUDEVAL_ACCESS_KEY.

Ask your AI assistant about AWS, Azure, GCP, Snowflake, OpenAI and Anthropic costs: cost analysis, anomalies, budgets, commitments and savings recommendations.

Multi-cloud cost, inventory and waste analysis over MCP: AWS, GCP, Cloudflare and OVH.

Access AWS CloudWatch logs to list log groups and read log entries.

Ask your AI assistant a cost question. Get allocation, correlation, and explanation in one response. Costory connects Claude, Codex, or Cursor to normalized cost data across AWS, GCP, Azure, Datadog, OpenAI, and Anthropic.

Government data for AI agents. Company registries, court cases, sanctions lists, tax records, liens and laws from official sources

An AI-powered email intelligence platform that integrates with Gmail and OpenAI. It can be run as a CLI tool or deployed on AWS Lambda for enhanced capabilities.

Complete 78-card tarot meanings, random draws, spreads and yes-or-no readings for AI assistants.

A read-only server to query AWS DynamoDB databases using the Model Context Protocol (MCP).

The Laws of the Game and world football's major competitions, every claim cited to primary sources

An intelligent MCP server that automates the reproduction of GitHub issues for AWS CDK projects.

Connect your AI assistant to iubenda to handle website legal compliance from start to finish. Create and manage sites, generate privacy and cookie policies tailored to the services you use, add data-processing services from iubenda's catalog, set up cookie consent banners, and draft terms and conditions, all through natural language. Run cookie scans to detect trackers, then update your policies to match as your site changes. Built for founders, agencies, and developers who need to meet GDPR, ePrivacy, US state privacy laws, and privacy requirements across markets, without the manual overhead.

jpcite — Japan public-program MCP server. 11,684 subsidies + 9,484 e-Gov laws + 22,258 enforcement cases + 13,801 invoice registrants + 166K corporate entities. 93 tools. Evidence Packet with source_url + fetched_at + known gaps. ¥3/req metered, 3 free per IP daily. Anonymous trial, no signup.

Scans AWS for unused resources and wasted spend, then gives Cursor and Claude IaC-aware cleanup guidance.

A bridge that enables MCP clients and LLMs to access and execute AWS Lambda functions as tools.

A lightweight, local MCP server in Python that enables RAG search through AWS Lambda.

Edit the mcp.json configuration file for tools like AWS Q Developer and Claude Desktop.

A daemon to orchestrate MCP servers as Docker containers and configure AWS ALB path-based routing.

A simple note-taking server for recording and managing notes with AI models, using AWS DynamoDB for storage.

A lightweight Python server for Retrieval-Augmented Generation (RAG) using AWS Lambda. It retrieves knowledge from external data sources like arXiv and PubMed.

A command-line tool to automate the deployment of MCP servers to AWS ECS.

A CLI tool to automate packaging MCP servers as Docker images and deploying them to AWS ECS.

Manage virtual machines across multiple cloud providers, including AWS EC2, Azure Virtual Machines, and GCP Compute Engine.

Local-first FinOps copilot: ask about your AWS, Azure, GCP, and SaaS costs in plain English. Anomaly detection, rightsizing, idle-resource cleanup, and Jira/Linear ticketing, all in your own Claude. Credentials never leave your machine.

MCP server for AI agent token-cost telemetry + quota-window awareness across Anthropic, OpenAI, Gemini, Ollama, AWS Bedrock. Per-agent attribution, spend-spike detection, 429-prediction tools.

Translate PowerPoint files using AWS Bedrock. Requires AWS credentials to be configured.

An MCP server for Qovery AI Copilot that enables deploying apps and managing Kubernetes on AWS, GCP, Azure, and On-Premise infrastructure with natural language

36 enterprise MCP tools for AWS security, infrastructure generation, AI workflows, and AI agent governance.