10 posts about MCP tools by 8 contributors.
Know MCP tools? Share what you know with developers who are learning it.
Learn how to manage large MCP tool catalogs with capability profiles, dynamic discovery, namespaces, risk levels, and least-privilege access controls for AI agents.
Learn how Google Cloud Data Agent Kit uses MCP tools and agent skills to connect AI coding agents with BigQuery, databases, pipelines, and other cloud data services.
Understand the difference between APIs and MCP, including how MCP enables AI agents to discover and use tools while APIs provide structured application-to-application communication.
Learn what Model Context Protocol (MCP) is, how hosts, clients, servers, tools, resources, and prompts work, and how MCP connects AI agents with enterprise systems.
Learn how to benchmark AI tool search accuracy across large enterprise tool catalogs by measuring selection accuracy, latency, token usage, and incorrect tool calls.
Compare Claude tool search with static tool loading in Microsoft Foundry and measure tool selection accuracy, latency, token usage, and agent performance.
Secure AI agents by treating third-party MCP tools as software dependencies, applying least privilege, and robust governance.
Learn how to build custom MCP servers in C# for enterprise AI applications. Discover MCP architecture, security best practices, tool development, authentication, and real-world integration patterns.
Explains how MCP tools, resources, and prompts differ, including their roles in AI workflows and practical examples of when to use each.
Gradio can expose MCP tools from standard Python apps with one flag.
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