An MCP server that gates, verifies, and screens agents before they act
Forth MCP is a bridge that lets remote AI clients connect to MCP servers running on a user's local machine. LLM-based clients can then invoke local tools and data sources they otherwise couldn't reach. It solves the problem that most MCP servers run locally while many AI clients operate remotely.
Forth MCP is a bridge that lets remote AI clients connect to MCP servers running on a user's local machine. LLM-based clients can then invoke local tools and data sources they otherwise couldn't reach. It solves the problem that most MCP servers run locally while many AI clients operate remotely.
A developer launched MCP Locker on Hacker News, a tool that exposes MCP servers and skills through a single private endpoint. It targets practitioners who need to manage and gate access to multiple MCP integrations without exposing each server individually.
A developer launched MCP Locker on Hacker News, a tool that exposes MCP servers and skills through a single private endpoint. It targets practitioners who need to manage and gate access to multiple MCP integrations without exposing each server individually.
A developer shares lessons from building an MCP server that gives AI agents direct access to Linear, emphasizing the critical design choice of adding human-in-the-loop guardrails. The post explores the boundary between autonomous agent actions and necessary human oversight.
A developer shares lessons from building an MCP server that gives AI agents direct access to Linear, emphasizing the critical design choice of adding human-in-the-loop guardrails. The post explores the boundary between autonomous agent actions and necessary human oversight.
Solo.io released agentdesktop, an open-source project extending AI-agent governance from cloud and Kubernetes environments to developer laptops and desktops. It targets the growing surface where developers run coding agents, MCP servers, and locally configured AI tools. The move responds to concerns that AI agents can behave unpredictably and need oversight where they actually execute.
Solo.io released agentdesktop, an open-source project extending AI-agent governance from cloud and Kubernetes environments to developer laptops and desktops. It targets the growing surface where developers run coding agents, MCP servers, and locally configured AI tools. The move responds to concerns that AI agents can behave unpredictably and need oversight where they actually execute.
An MCP server that lets a model read and post on X on the user's behalf, so they avoid opening Twitter. Because X now bills pay-per-use with credits, the author spent two weeks adding controls that prevent the model from overspending, especially via wide searches that return many billed resources.
An MCP server that lets a model read and post on X on the user's behalf, so they avoid opening Twitter. Because X now bills pay-per-use with credits, the author spent two weeks adding controls that prevent the model from overspending, especially via wide searches that return many billed resources.