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Deploys an authentication-free Model Context Protocol server directly onto Cloudflare Workers.
Provides a local server for programmatic control and automation of 7-Zip archive and file system operations.
Deploys an authentication-free Model Context Protocol (MCP) server on Cloudflare Workers for AI agent tool integration.
Enable large language models (LLMs) to interact with CircleCI for managing continuous integration and delivery tasks.
Provides real-time Brave Search results via Server-Sent Events (SSE).
Provides secure and isolated Python code execution capabilities through an MCP server interface.
Enables seamless upload, download, and management of files in Amazon S3 buckets, optimized for AI workflows and Model Context Protocol clients.
Deploys a Model Context Protocol (MCP) server on Cloudflare Workers, designed to operate without requiring authentication.
Provides a sample server for integrating weather API data, including validate and resume endpoints for AI hackathon applications.
Provides a foundational guide to constructing a functional MCP server and client.
Provides a Model Context Protocol (MCP) server for containerized deployment with HTTP transport, offering simple, dependency-free tools and prompts.
Provides tools for managing GitHub organizations, repositories, and collaborators through the GitHub API.
Enables AI clients to operate GitLab pipelines through natural language commands.
Integrates Jenkins functionalities with an MCP server.
Provides a lightweight conversational AI system integrated with robust DevSecOps practices, ensuring secure and misconfiguration-free container deployments through automated CI/CD security scanning.
Facilitates the deployment and integration of a Model Context Protocol (MCP) server with Microsoft Copilot Studio.
Provides a secure and robust Model Context Protocol server for managing file system operations with built-in safeguards and comprehensive error handling.
Integrates with the Sentry API to track errors, monitor performance, manage releases, and debug application issues.
Manages Google Cloud Dataproc clusters and jobs through a standardized Model Context Protocol interface.
Enables remote execution of shell commands and access to documentation via a Model Context Protocol server.
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