Connect AI Agents Directly to Your Systems with Custom MCP Servers
The Model Context Protocol (MCP), pioneered by Anthropic, is the open standard that enables AI models like Claude, Cursor, and Gemini to securely read, analyze, and act upon external tools, databases, and enterprise APIs. At Vox Weebly, we build production-grade, secure MCP servers tailored to your proprietary software infrastructure.
What We Build with MCP
Database & Warehouse MCP Bridges
Allowing AI models to safely execute parameterized, read-only queries against PostgreSQL, MySQL, BigQuery, and Snowflake with strict security boundaries.
Internal API Tooling for AI
Exposing your CRM, ticketing systems (Jira/Linear), ERPs, and custom backend endpoints as callable MCP tools with JSON Schema validations.
Remote SSE & Cloud MCP Servers
Deploying multi-tenant, cloud-hosted MCP servers over Server-Sent Events (SSE) with OAuth 2.0 authentication for distributed remote teams.
Security, Rate Limiting & PII Redaction
Automated masking of sensitive client data, token consumption limits, and human-in-the-loop confirmation gates for write actions.
Supported AI Environments
We build and verify MCP servers for all leading ecosystem clients:
Cursor IDE
Google Antigravity & Gemini CLI
FastMCP & TypeScript SDK
Python MCP SDK
Docker Containers
Why Your Business Needs Custom MCP Servers
- No More Copy-Pasting Data: Engineers and business analysts can ask questions in Claude or Cursor and get real-time answers directly from your live database.
- Audit-Proof Security: Strictly defined read-only schemas prevent AI from executing dangerous queries or modifying production records.
- Future-Proof Standard: MCP is supported across the entire modern AI industry, preventing vendor lock-in.