Security research, ecosystem analysis, and infrastructure insights from the MCP protocol landscape.
SynapBus is a single Go binary that gives your AI agent swarm Slack-like messaging, semantic search, and MCP connectivity. Deploy it with Docker or Kubernetes, expose it via Cloudflare Tunnel, and connect your first agents -- total cost: $0.
Google's Agent-to-Agent protocol just hit v1.0 under the Linux Foundation. Here is how A2A and MCP work together to enable the next generation of AI agent architectures.
The OWASP MCP Top 10 maps the most critical security risks in AI agent tool integration — from tool poisoning to context poisoning. Here is what practitioners need to know.
The MCP security landscape has evolved through three waves: protocol scanning, traffic proxying, and OS-level sandboxing. Here's the full map of projects and where the frontier is heading.
The MCP spec includes five tool annotation fields that tell agents whether tools are read-only, destructive, or open-world. Most servers don't use them. Here's why that needs to change.
NIST's draft concept paper lists MCP as one of five standards under evaluation for agentic AI authentication. What this means for MCP's legitimacy and enterprise adoption.
Google quietly removed MCP from its Workspace CLI after tool definitions ballooned context windows to 100K tokens. The tool discovery problem is MCP's biggest scaling barrier.
MCP's authentication model has a fundamental gap: servers cannot verify whether an agent was authorized to use the credentials it presents. Here's why this matters and what's being done about it.
A detailed breakdown of the Clinejection attack chain that compromised the Cline VS Code extension in January 2026, and what it reveals about trust boundary gaps in MCP composition.
A comprehensive look at the security landscape of the Model Context Protocol ecosystem - from tool poisoning attacks to emerging defenses.