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Integrates real-time weather data into large language models and Model Context Protocol clients.
Demonstrates basic usages of the Model Context Protocol with a Python server and client.
Manages a simple notes system through a Model Context Protocol server, providing resources, tools, and prompts for note interaction.
Exposes knowledge base operations as tools for AI agents, facilitating secure management and querying of a Django-backed knowledge base.
Facilitates interaction with large language models through a simple MCP server implementation.
Build and run polyglot Model Context Protocol (MCP) servers using WebAssembly for secure, high-performance AI agents.
Provides a foundational template for building AI agents in Python, featuring a planner and executor with OpenAI API and MCP integration.
Optimizes AI prompts for clarity, specificity, and structure within the Model Context Protocol.
Enables seamless integration with European Patent Office (EPO) OPS services via an MCP server.
Orchestrates real-world actions like file management, Python code execution, web scraping, and shell commands via lightweight Model Context Protocol servers.
Enables AI agents to interact with Azure DevOps projects, managing work items, wikis, and repositories.
Generates Excel template files conforming to JXLS specifications via the Model Context Protocol (MCP).
Provides PyTorch AI/ML examples for Modal Context Protocol (MCP), Agent-to-Agent (A2A), RAG, and vLLM workflows, enabling reproducible and scalable pipelines for research and deployment.
Enables deployment and integration of Model Context Protocol servers with Microsoft Copilot Studio to provide context to large language models.
Automates iTerm2 terminals, allowing AI assistants to control command execution and TUI interactions through the Model Context Protocol.
Provides a Model Context Protocol (MCP) server for checking domain availability using the Namecheap API.
Provides comprehensive access to Rust crate documentation and metadata from crates.io and docs.rs.
Provides real-time database schema information to AI assistants via Model Context Protocol.
Provides a Model Context Protocol (MCP) server solution for managing CSV data and integrating it with databases, featuring a modern React frontend.
Provides an integration server to programmatically access Enterprise Application Integration (EAI) services for network reports and management.
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