XPndAI builds custom MCP (Model Context Protocol) servers that connect LLMs to your internal tools, databases, and APIs — enabling true enterprise AI agents with live context.
End-to-end AI and software engineering with measurable enterprise outcomes.
We design and develop production-grade MCP servers that expose your internal tools, databases, and APIs as structured resources for LLMs like Claude and GPT.
Connect any enterprise system — CRM, ERP, ticketing, knowledge base — as an MCP resource that AI agents can query and act upon in real time.
Enterprise-grade OAuth 2.0, API key management, and role-based access controls ensure your MCP server exposes data safely and auditably.
Support for streaming responses and real-time context injection — enabling AI agents to react to live events in your systems with minimal latency.
Compatible with Claude Desktop, Cursor, open-source MCP clients, and custom enterprise AI chat interfaces built to your specification.
Full observability stack: tool call logging, latency dashboards, error alerting, and usage analytics for every MCP endpoint.
A B2B SaaS company built an MCP server exposing their Confluence wiki, Jira backlog, and Salesforce CRM as structured resources. Their Claude-powered AI assistant now lets support agents and engineers query live internal knowledge directly from their chat interface — reducing ticket escalation time significantly.
An analytics firm deployed our custom MCP server that exposes their PostgreSQL data warehouse as a queryable resource. Analysts now ask business questions in natural language, and the AI generates and executes safe read-only SQL queries, returning formatted results — eliminating the need for analyst bottlenecks on routine data requests.
Talk directly to our lead engineers. We audit your requirements, propose the exact architecture, and give you a transparent roadmap — all in one call.