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.
Everything you need to know before starting an AI project with XPndAI.
Talk directly to our lead engineers. We audit your requirements, propose the exact architecture, and give you a transparent roadmap — all in one call.