Automation can feel like a daunting buzzword, often associated with expensive tools, steep learning curves, and endless configurations. But what if you could simplify your workflows, harness the power ...
An MCP Server is a simple program that lets AI models securely access data and tools using the Model Context Protocol (MCP). FastMCP is a Python framework that helps you build MCP servers and clients.
Imagine a world where your favorite tools and platforms work together seamlessly, powered by the intelligence of large language models (LLMs). No more clunky integrations, endless API documentation, ...
Chatbots have been mere question-answering agents. Now, AI agents have been able to analyze data, make decisions automatically, and engage with real-world systems. For AI agents to be beneficial in a ...
Model Context Protocol (MCP) is becoming the most common interface to connect AI applications to enterprise systems like Gmail, Google Drive, GitHub and Salesforce. The goal is to give AI and AI ...
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I connected a local model to Obsidian with MCP and it’s better than NotebookLM and ChatGPT combined
Using cloud-based AI tools can be frustrating. Since I primarily use Obsidian for note-taking, whenever I wanted to ask ChatGPT or NotebookLM about something, I had to copy my notes into a separate ...
The ability to connect to both cloud and on-premises versions of Azure DevOps is a significant advantage. It means the server can be a consistent part of your AI-DevOps workflow, regardless of where ...
The Model Context Protocol (MCP) enables AI agents to interact with external tools across hybrid environments but introduces critical security vulnerabilities, including identity theft, data leakage, ...
What does it take to get OpenAI and Anthropic—two competitors in the AI assistant market—to get along? Despite a fundamental difference in direction that led Anthropic’s founders to quit OpenAI in ...
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