Service
MCP Integration
One server connects every AI tool to your internal systems. CRM, ERP, databases, all through a single interface.
Overview
Today, connecting an AI assistant to your business tools means custom glue code for each platform. Model Context Protocol changes that: a single server exposes your internal APIs, databases, and SaaS tools to any compatible AI client through a universal interface. The AI discovers what's available at runtime, reads live data, and acts on it. One implementation covers Claude Desktop, ChatGPT, Cursor, and custom applications. The result is AI that actually operates within your business systems instead of just generating text about them.
Capabilities
Custom Server Development
MCP servers that expose your internal APIs, databases, and SaaS tools as typed definitions with schema validation. Your AI reads from your CRM, writes to your project tracker, or queries your data warehouse through a clean, standardized interface.
Local & Remote Deployment
Runs locally on a developer's machine or deployed as a remote service accessible across your organization. Stateful sessions let the AI discover what your server offers at connection time and maintain context throughout a conversation.
Workflow Orchestration
The AI chains multiple tools in a single conversation: query a database, process results, update your CRM, notify via Slack. Complex multi-step workflows execute without custom orchestration code.
Security & Access Control
Per-tool and per-user permission scoping controls who can do what. Audit logging on every invocation, rate limiting, sandboxed execution, and OAuth 2.1 integration for third-party services.
Deliverables
- Production-ready MCP server(s) with full documentation
- Integration tests and monitoring dashboard
- Deployment pipeline (Docker/Kubernetes)
Tech Stack
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