Local MCP servers enable individual developers to quickly connect AI clients to tools and data, but teams face significant friction when multiple members need to use the same setup. The local approach…
MCP servers in production require observability through logs, metrics, and replayable context because AI tool calls introduce debugging challenges that traditional API monitoring does not address. Wit…
Vectoralix launched a SaaS platform for hosting and managing MCP servers, introducing versioning, categorization, and access control to solve lifecycle challenges in production AI workflows. The platf…
Vectoralix launched a new platform that converts Git repositories into hosted MCP (Model Context Protocol) servers, eliminating the need for developers to build custom protocol handling, authenticatio…
Vectoralix has introduced a managed gateway platform for securing remote Model Context Protocol (MCP) servers, implementing OAuth, bearer tokens, and scoped permissions to authenticate and authorize A…