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Implements a basic server for managing and controlling Master Control Program (MCP) operations.
Demonstrates the creation and usage of MCP clients and servers using Python.
Demonstrates MCP servers with a Next.js application, Express APIs, and a Postgres database.
Enables large language models to query live Oracle Service Cloud data through a Model Context Protocol (MCP) interface.
Enables seamless upload, download, and management of files in Amazon S3 buckets, optimized for AI workflows and Model Context Protocol clients.
Enables natural language-driven SSH automation and remote system management via the Model Context Protocol.
Demonstrates building a weather server and client using the fastmcp framework.
Facilitates the development of message queue system integrations as plugins for Slack backend server environments.
Provides a self-hosted execution environment enabling large language models to interact with code, files, and dependencies.
Integrates OpenProject's comprehensive project management capabilities with AI assistants through a FastMCP-based server.
Provides a comprehensive system for traditional Chinese fortune-telling, including BaZi generation, Five Element analysis, and destiny interpretation.
Provides a unified email management interface for AI assistants, supporting multiple providers and accounts.
Provides LLM-optimized access to IMAP servers for robust email management.
Provides AI agents with accurate, up-to-date API model IDs, pricing, context windows, and capabilities across numerous AI providers.
Indexes code repositories for fast local retrieval, symbol resolution, and contextual search to assist AI coding agents.
Provides a real-time, machine-readable JSON graph of a CognOS agent system, enabling AI to analyze agent workloads and system health.
Orchestrates tasks across diverse AI models like Codex, Gemini, Claude, and Ollama, facilitating dispatch, broadcast, and collaboration through a unified interface.
Provides a collection of HTTP Micro-Content Protocol (MCP) servers for interacting with diverse data sources like file systems, Navidrome, slskd, and Telegram text exports.
Enables AI agents to discover, delegate tasks, and communicate using Google's Agent2Agent Protocol via an MCP interface.
Integrates Veracode CLI capabilities into AI code assistants to provide security scanning and AI-driven fix suggestions directly within the developer workflow.
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