Vruum AI revenue platform — outbound, deals, pipeline & CRM automation over one MCP.
TypeScript MCP server for managing Kubernetes clusters via kubectl commands and kubeconfig authentication.
Key Features: Connects to Kubernetes clusters using kubeconfig from multiple sources Supports kubectl commands: get, describe, create, apply, delete, logs, scale, patch Manages kubectl contexts and explains resource schemas MCP server for managing JetBrains TeamCity builds, tests, agents, and CI/CD configuration from AI coding assistants.
Key Features: 87 TeamCity MCP tools across Dev and Full modes Build triggering, monitoring, logging, and test-failure inspection Build configuration, trigger, dependency, VCS root, and agent management AI deal pipeline for IT freelancers in DACH: analyze, list and manage project inquiries.
Rust MCP server and CLI for Unraid GraphQL operations across NAS, Docker, VM, and storage workflows.
Search, chat, upload, and scrape a serverless RAGStack knowledge base on AWS.
AI agent access to your Searcher OS deal feed, pipeline, buy boxes, CIM analysis, and broker CRM.
Slide decks over MCP: read and write decks as code, run Lorem's full AI pipeline, export PPTX/PDF.
Open source MCP servers providing integration with AWS services and resources for AI agents.
Key Features: Open source MCP servers specialized for AWS Supports multiple AWS services and resources Compatible with various MCP clients Discover, manage, and codify resources from Firefly-connected cloud and SaaS accounts through MCP.
Key Features: Cloud and SaaS resource discovery Resource management through Firefly Infrastructure as Code generation MCP servers providing natural language access to Cloudflare services like Workers, KV, R2, and D1 via domain-specific endpoints.
Key Features: Stateless Streamable HTTP handler at /mcp and /sse endpoints Integration with Cloudflare Workers, KV, R2, D1, and other services Support for OAuth and credential management for account access MCP server enabling AI agents to manage LocalStack local AWS environments via lifecycle, deployment, logs, fault injection, and state management.
Key Features: Lifecycle management of LocalStack runtime with authentication Automatic detection and deployment of infrastructure as code projects Natural language search of LocalStack documentation and guides