AI models are only as useful as the systems they can reach. Dezvo builds custom MCP servers and tool integrations that let Claude, ChatGPT, and AI agents securely query your databases, act in your ERP and CRM, and automate real work — with authentication, scoping, and audit logs designed in from the first line.
The Model Context Protocol (MCP) is an open standard, introduced by Anthropic, that lets AI applications connect to external tools and data sources through a common interface. Instead of writing a custom integration for every AI client, you build one MCP server — and Claude, ChatGPT, Cursor, and other MCP-compatible clients can all use it to read your data and call your systems.
For a business, an MCP server is the difference between an AI that talks about your inventory and an AI that checks it. Dezvo builds MCP servers that expose exactly the operations you choose — scoped, authenticated, and logged — so AI access to your systems is a controlled capability, not an open door.
TypeScript or Python MCP servers exposing your internal APIs, databases, and file stores as typed tools — deployable on Vercel, your cloud, or on-prem.
Well-designed tool schemas are the difference between an agent that works and one that flails. We design, document, and eval-test every tool definition.
Connectors for SAP, Tally, Salesforce, HubSpot, Zoho, Postgres, and internal REST APIs — read-only by default, write operations gated behind approvals.
OAuth 2.1, per-user scopes, rate limits, input validation, and full audit trails — every tool call attributable to a user and reversible where possible.