7 posts about MCP Servers by 6 contributors.
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Learn how to identify and reduce supply chain risks in AI coding extensions through inventories, dependency reviews, SBOMs, controlled updates, and runtime monitoring.
Learn how to design an MCP gateway that centrally manages tool discovery, routing, authentication, authorization, and observability for large internal AI agent tool ecosystems.
Learn how to limit GitHub Copilot agent access to repositories, secrets, MCP tools, internet connections, and development environments.
Learn about GitHub Copilot updates for JetBrains IDEs, including managed default models, MCP server controls, diagnostics, chat navigation, and agent reliability.
Discover MCP Servers for secure AI agent tool integrations. Standardize, simplify, and enhance security for dynamic external system access.
Learn how MCP Apps are transforming AI tool integration workflows by providing standardized access to APIs, databases, business systems, and enterprise resources through the Model Context Protocol.
Learn how to secure Model Context Protocol (MCP) applications by preventing prompt injection, tool hijacking, unauthorized access, and other AI security threats using proven enterprise security practices.
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