MCP
Connect models to tools and data without turning every integration into a security hole.
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MCP Server Design: How to Build Tools Agents Can Use Safely
An MCP server is a capability boundary. Good design keeps tools narrow, explicit, validated, and easy to audit.
MCP Client Architecture: How AI Agents Discover and Use Tools
MCP clients connect agent runtimes to external capabilities, but discovery does not equal authorization.
MCP Security for AI Agents: How to Review Tools Before Connecting Them
Connecting an agent to an MCP server expands its capabilities and its attack surface. Review tools, permissions, trust boundaries, and outputs before enabling them.
MCP Tool Permissions: How to Limit What an Agent Can Access
Connecting an MCP server can expose many capabilities at once.
MCP Tool Discovery: How to Keep Large Agent Toolsets Manageable
As an agent connects to more MCP servers, the available tool set can become difficult to reason about.
MCP Observability: What to Log for Agent Tool Usage
When agents use multiple MCP servers, debugging requires a clear trail of discovery and execution.
MCP Multi-Tenant Security: How to Isolate Customer Data
A shared MCP server must never let one tenant's agent access another tenant's resources.
MCP Prompt Injection Defense: How to Protect Agent Tools
MCP-connected content can contain instructions that attempt to influence an agent.
MCP Production Deployment Checklist for Indie Developers
A local MCP demo can work perfectly while production introduces authentication, networking, quotas, and failure modes.
The New Developer Tooling Layer: Security for AI Agents
As coding agents gain access to repositories and external tools, security around permissions, provenance, and safe execution is becoming a new product category.

Stop Pasting Search Console CSVs Into ChatGPT: Wire GSC Into the Agent
CrawlRaven MCP shipped on Product Hunt on 30 September. The useful lesson for a one-person SaaS is that organic data should enter the model as a tool call, not a weekly spreadsheet dump.
More from the hub
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AI Agent Security
Protect agents, tools, credentials, data, and execution environments.
ExploreAgent Permissions
Design least-privilege access and approval boundaries for autonomous agents.
ExploreTool Calling
Understand how agents safely call APIs, databases, browsers, and external tools.
ExploreAgent APIs
Build reliable APIs and interfaces for agents that need to take actions.
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