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Provides a Model Context Protocol (MCP) Everything server with SSE transport, containerized for easy deployment.
Provides comprehensive tools for evaluating and benchmarking post hoc explanation methods in AI models through a standard interface.
Execute terminal commands and manage files across local, SSH, and GitHub environments.
Provides a production-ready server and a comprehensive client for the FastMCP protocol, equipped with essential features for robust application development and deployment.
Provides a production-ready server for Kubernetes observability and debugging.
Provides core server functionality, enabling applications to interact with MCP data over standard I/O and HTTP.
Monitors and logs running processes, making their output and status accessible to AI agents through the Model Context Protocol.
Illustrates Gilhari's implicit attributes feature for automatic foreign key management in JSON objects within a RESTful microservice.
Optimizes SCM workflows for GitHub and GitLab, streamlining multi-instance repository management, automated releases, and AI-native DevOps orchestration.
Provides Claude with real-time insights and a sandboxed shell into your local development environment for debugging and diagnostics.
Enables AI assistants to directly search, browse, and read Materio's educational PDF resources without manual uploads.
Optimizes Model Context Protocol (MCP) interactions by intelligently managing context, significantly reducing token consumption and improving LLM precision.
Facilitates Solana perpetual futures trading through Orderly Network and Perptools.
Remotely manage Docker containers, stream logs, transfer files, and orchestrate deployments on a remote host via SSH directly from your AI-powered IDE.
Connects AI assistants to Sumo Logic for searching logs, running aggregate queries, and managing collectors.
Empowers AI assistants to manage Linux systemd services and timers, enabling operations like starting, stopping, restarting, and fetching logs.
Aggregates diverse MCP servers and local execution/HTTP tools, exposing them through a single unified HTTP(S) endpoint for clients.
Automate file backup scheduling, integrity verification, and compliance management for critical data.
Manages desktop environments, automates semantic desktop interactions, and orchestrates repository and workstation operations via an MCP server.
Rapidly deploy sandboxed Micro-Computation Protocol (MCP) servers by simply adding Ruby files to a directory.
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