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Exposes curated GraphQL queries as modular tools, enabling intentional API interactions from your agents.
Defines and executes API tools using the Model Context Protocol, offering a lightweight and extensible server.
Enables integration and management of applications and deployments for PipeCD using the Model Context Protocol (MCP).
Provides a GitOps playground for experimenting with Kubernetes, Terraform, Argo CD, and related technologies.
Serves files from a folder, designed for development as a simple file server.
Sends webhook notifications upon AI agent task completion, facilitating efficient multi-project development.
Enables AI assistants to consult advanced AI models for code analysis, strategic planning, and real-time web search with intelligent context gathering.
Generates data pipeline code for any Airbyte Connector using a single natural language prompt.
Integrates the Nmap network scanning tool within Model Context Protocol (MCP) environments.
Provides a server for fetching SonarCloud issues related to pull requests, enabling automated code quality checks.
Deploys a simple Model Context Protocol (MCP) server with shell execution capabilities.
Ensures AI-generated code is production-ready by enforcing quality guardrails and deployability standards.
Provides read-only access to Unix shell prompts via tmux, enabling AI assistants to safely observe terminal environments.
Provides comprehensive system information and management capabilities for Linux servers through MCP and HTTP REST APIs, enabling AI agents to monitor and interact with server resources.
Executes Kubernetes commands and interprets their output via a given kubeconfig path.
Enforces security configurations for Microsoft 365 in accordance with CISA Binding Operational Directive 25-01.
Implements a system-wide Model Context Protocol server offering file operations, HTTP requests, and command execution.
Exposes any OpenAPI/REST API as modular command-line program (MCP) tools, enabling dynamic server switching and variable substitution.
Transforms penetration testing into an intelligent, automated, and secure process.
Pauses execution for a specified duration, providing progress reporting during the wait.
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