BackEngine MCP

BackEngine MCP is a platform that makes your company's internal knowledge accessible to AI assistants. It uses the Model Context Protocol (MCP) to connect data sources like wikis, document stores, and databases directly to AI models. Instead of manually feeding information to chatbots or writing custom integrations, you set up BackEngine MCP once and your AI tools can pull relevant knowledge on demand.

The service works by hosting an MCP server that your AI agents can query. You configure which data sources to expose and set permissions for different AI tools. When an assistant like ChatGPT or Claude needs information, it sends a request through the MCP protocol and BackEngine returns the relevant documents or data. This keeps responses accurate and grounded in your actual company knowledge, not just the model's training data. The platform handles authentication, rate limiting, and logging out of the box.

BackEngine MCP is built for development teams who want to give their AI tools access to internal knowledge without building custom connectors. It's useful for IT departments setting up internal chatbots, knowledge managers who want to make documentation searchable by AI, and any organization that uses AI assistants and needs them to reference proprietary information. If you've ever asked a company chatbot a question and gotten a generic answer, BackEngine MCP is the kind of tool that fixes that.