Vectoralix

Vectoralix is a managed platform for building, testing, versioning, and hosting Model Context Protocol (MCP) servers. Connect documentation, code repositories, APIs, knowledge sources, file search, and sandboxed tools, then publish secure, production-ready MCP endpoints without maintaining the underlying infrastructure. Key features Managed MCP hosting — build and run Model Context Protocol servers without maintaining deployment, scaling, or server infrastructure. Knowledge connections — connect documentation, files, code repositories, and internal company knowledge. File and repository search — let AI clients retrieve relevant information instead of sending entire documents into every conversation. API and tool integrations — expose company systems, external APIs, and business actions as MCP tools. Sandboxed code execution — add controlled code tools for calculations, data processing, transformations, and automation. Built-in playground — test prompts, tools, search results, and server behavior before publishing. Versioned releases — publish stable versions, test changes safely, and roll back when needed. Secure access — protect private MCP servers using OAuth or bearer-token authentication. Request logs and monitoring — inspect tool calls, errors, and server activity. Stable hosted endpoints — connect the same MCP server to different AI clients, agents, and team members. Main use cases 1. Connect company knowledge to AI A business can connect internal documentation, procedures, repositories, and files so employees can ask questions without repeatedly copying context into AI chats. 2. Build internal AI assistants Teams can create assistants that understand company-specific information and can also perform approved actions through internal tools and APIs. 3. Give AI agents controlled access to business systems An agent can search a CRM, check inventory, retrieve customer information, create reports, or trigger workflows through clearly defined MCP tools. 4. Share knowledge across a team Instead of keeping important context inside individual chats or personal AI memories, a company can maintain a shared, manageable knowledge layer. 5. Turn documentation into an MCP server Developers can package product, framework, API, or project documentation into a searchable server that coding assistants can access directly. 6. Automate multi-step workflows Vectoralix can provide the tools and rules needed for agents to retrieve information, process it, call APIs, execute code, and return a final result. 7. Provide MCP access to customers A SaaS company can publish an authenticated MCP server that allows customers to use its product directly from compatible AI clients. 8. Replace custom MCP infrastructure Teams that already built an MCP prototype can move hosting, authentication, versioning, testing, logging, and deployment into one managed platform. In one sentence: Vectoralix helps companies turn their knowledge, APIs, and business tools into secure, production-ready MCP servers without becoming an infrastructure team.