Connect AI Assistants to Your Systems with MCP
AI assistants are only as useful as what they can reach, and wiring each one separately to your databases, CRM and internal APIs is slow, fragile and hard to secure.
Production MCP servers that expose your data and actions to AI assistants and agents through one standard interface — with authentication, permissions and audit logs.
Typical timeline: 1-4 Weeks.
Capabilities
- Custom MCP servers for databases, CRMs, ERPs & internal APIs
- Tools, resources & prompts designed around your workflows
- OAuth authentication, role-based permissions & audit logging
- Remote (HTTP) and local (stdio) MCP deployments
- Agent workflows that combine several MCP servers
- Testing and hardening against prompt injection and data leaks
What you receive
- MCP Server Source Code & Docs
- Permission & Security Model
- Setup for Your AI Tools & Agents
- Monitoring & Audit Logs
Technology
Model Context Protocol · TypeScript · Python · FastAPI · Node.js · PostgreSQL · Docker
Frequently asked questions
- What is MCP (Model Context Protocol)?
- MCP is an open standard, introduced by Anthropic in 2024, for connecting AI applications to external data and tools. An MCP server exposes actions such as "search customers" or "create invoice" in one consistent way, so any MCP-compatible assistant or agent can use them.
- Which AI tools can use an MCP server?
- A growing range of AI applications support MCP, including Claude, ChatGPT and Cursor, as well as most agent frameworks. One well-built server can serve all of them instead of a separate integration for each.
- Is it safe to let AI access our systems through MCP?
- It can be, with the right design: we expose only the actions you approve, enforce authentication and per-user permissions, require confirmation for sensitive actions, log every call, and test against prompt-injection attacks before go-live.
- Can you build an MCP server for our existing software?
- Yes. If it has an API or a database, we can wrap it in an MCP server — from CRMs and ERPs to custom internal tools.