OUR CORE DOMAIN BUSINESS:
Connect your AI to enterprise data with one universal protocol.
MCP is the open standard that enables AI applications to securely access your databases, APIs, and business systems to eliminating fragmented integrations and unlocking intelligent automation at scale.
MxN Problem 
MCP Solution What is MCP?
The universal connector between AI and your data.
Model Context Protocol (MCP) is an open-source standard developed by Anthropic that creates secure, two-way connections between AI applications and external systems. Think of it as USB-C for AI — a standardized way to plug any AI into any data source without custom code for each combination.
Why enterprises need MCP:
Eliminate the N×M integration problem
Connect multiple AI tools to multiple data sources through one protocol
Enable AI agents to act autonomously
Query databases, call APIs, read documents, and execute workflows
Maintain security and control
Define exactly what data AI can access with fine-grained permissions
Future-proof your AI investments
Switch between AI providers (Claude, ChatGPT, etc.) without rebuilding integrations
Leverage a growing ecosystem
Access thousands of community-built MCP servers for popular systems
Core Capabilities
Three primitives that power intelligent AI agents.
MCP defines three core primitives that enable AI applications to interact with external systems in structured, predictable ways.
Query a database Call an API endpoint Execute a workflow Send notifications File contents Database records API responses System configurations Report generators Data analysis patterns Code review templates Compliance checkers MCP Architecture
How MCP connects AI to your enterprise.
MCP Host
The AI application that initiates connections and manages the overall interaction.
MCP Client
Protocol handler within the host that establishes and maintains connections with MCP servers.
MCP Server
Add new modules, actions, datasets, or agents without modifying core architecture.
External Systems
Your enterprise data sources: databases, APIs, file systems, SaaS applications, and internal tools.
MCP uses JSON-RPC 2.0 as its RPC protocol, transported over stdio for local communication or HTTP with optional SSE for remote communication.
Why Choose Valid for MCP
Let's build secure AI connections tailored to your data infrastructure.
Valid has been trusted by 50+ enterprises from government agencies, and enterprise institutions.
Data Platform Expertise
Deep experience with Dremio, Iceberg, Nessie, and modern lakehouse architectures that power enterprise AI.
Regulated Industry Focus
Proven track record in government, and institutions where security and compliance are mandatory.
End-to-End Implementation
From MCP server development to AI agent deployment — we handle the complete integration lifecycle.
Production-Ready Solutions
Battle-tested implementations with monitoring, audit logging, and enterprise-grade reliability.
