The Model Context Protocol is the open standard that lets AI agents securely connect to tools, data and systems. E-Bridge Solutions provides two MCP services: building custom MCP servers that expose your product to any AI agent, and connecting Neo-ji agents to existing commercial or proprietary MCP servers.
WHY MCP MATTERS
MCP does for AI agents what USB-C did for devices: one standard interface instead of a bespoke connector per agent per system. Without it, every new model or agent means rebuilding the plumbing. With it, the plumbing is built once. Neo-ji is MCP-native.
MCP DEVELOPMENT
We build a custom MCP server for your product, platform or internal system, so any MCP-compatible AI agent (Claude, GPT, Gemini or Neo-ji) can discover and use it securely. Authentication, permission scoping, rate limiting and audit logging are part of the build. For a software vendor, this puts your product inside the AI agent ecosystem rather than outside it.
MCP CONNECTION
We connect Neo-ji agents to existing MCP servers, commercial and custom alike, so agents can query databases, read files, create tickets and trigger actions across your whole tool stack in a single workflow. Every tool call is governed by your permissions policy and visible in the observability dashboard.
LEGACY INTEGRATION
Many Sri Lankan institutions run core systems that predate all of this. We engineer the bridge: REST and SOAP APIs, direct database access, event-driven triggers, or custom connectors where nothing else exists. Unglamorous, and usually the thing that decides whether an AI project succeeds.
AI Integration & MCP
Questions
Neo-ji is MCP-native, so the platform documentation covers the server catalogue, permission scoping and audit logging in full; the same team builds the MCP server and the agent that uses it.
See MCP detail on neo-ji.com
