Express — 
MCP Access to Enterprise Data For AI Agents
Nexla’s Model Context Protocol (MCP) servers bridge the gap between AI agents and your data ecosystem, no matter where data lives.
What is MCP?
MCP (Model Context Protocol) is a standardized way to connect AI applications to external systems. Using MCP, AI applications like Claude or ChatGPT can connect to data sources (e.g., local files, databases), tools, and workflows, enabling them to access key information and perform tasks.
Why MCP Matters?
The Nexla Difference for Enterprise Data
The Model Context Protocol transforms how organizations deploy and scale AI agents by standardizing data access, reducing integration complexity, and enabling governed AI workflows across the entire data ecosystem. Nexla provides multiple advantages:
- Layering MCP on data and systems that don’t have native MCP, so data from legacy systems can be unlocked with Nexla.
- A single MCP server across disparate systems.
- Exceeds MCP standards where systems have sub-optimal MCP offering.
The Challenge: AI Agents Need Data Context
AI agents like ChatGPT, Claude, and Copilot are powerful, but they’re blind to your enterprise data. Without access to your databases, SaaS applications, and data warehouses, they can’t provide personalized insights, automate workflows, or make data-driven decisions.
Traditional approaches require custom API integrations, complex authentication, and ongoing maintenance. Every new data source needs weeks or months of engineering work or data in some sources may not even be accessible.
The Solution: Nexla's MCP Server Architecture
Nexla extends its capabilities via MCP integration two ways, to give AI agents governed, real-time access to your entire data ecosystem:
Express MCP
Build Data Pipelines with AI
The only MCP server that lets AI agents BUILD data pipelines, not just access data.
- Natural language pipeline creation: “Connect Salesforce to Snowflake and sync hourly”
- Automatic schema mapping, transformations, and governance
- Live now in ChatGPT GPT Store as “Express.dev”
- Perfect for: Developers, data engineers, analysts building data pipelines
Nexla MCP
Data From Any Data Source
Dynamic MCP creation for governed data access across 550+ sources.
- AI agents query databases, SaaS apps, APIs, and data warehouses
- Built-in governance, access controls, and audit logging
- Comprehensive MCP access to any enterprise systems, even those that don’t have native MCP support (SAP, Coupa, Workday, IBM DB2)
- Single MCP server across disparate systems
- Perfect for: Enterprise teams needing governed AI agent access to production data
Technical Architecture
How It Works
Enable Data Collaboration
- ChatGPT/Claude/Copilot makes MCP request to Nexla server
- Request includes user context, query parameters, governance tokens
Nexla Processing
- Validates access permissions and applies governance rules
- Routes query to appropriate data source(s) via Nexla connectors
- Applies transformations, joins, and data quality rules
Response
- Structured data returned to AI agent
- Agent uses context to generate insights, recommendations, or actions
- All activity logged for audit and compliance
✕
Security & Governance
Built-In Security
- OAuth 2.0 + Keycloak authentication
- Role-based access control (RBAC) per agent
- Comprehensive audit logging (every query tracked)
- Rate limiting to prevent abuse
- HTTPS-only communication
- SOC 2, HIPAA, GDPR compliance-ready
Deployment Options
- Cloud-hosted: Nexla manages infrastructure
- Self-hosted: Deploy in your VPC or data center
- Hybrid: Sensitive data stays on-premises
Why Nexla MCP vs. Other MCP Servers
While many vendors offer MCP servers for their specific platforms, Nexla takes a fundamentally different approach that solves the enterprise data access challenge comprehensively.
Horizontal vs. Vertical MCP Strategy
Most MCP Servers (Vertical Approach):
- Single platform focus (e.g., Salesforce MCP connects only to Salesforce, Teradata MCP only to Teradata)
- Deep integration within one ecosystem
- AI agents must manage connections to dozens of separate MCP servers
- No cross-platform data integration or orchestration
Nexla MCP (Horizontal Approach):
- Unified access to 550+ data sources through a single MCP endpoint
- Cross-platform data integration, joins, and transformations
- AI agents connect to ONE MCP server, access ALL enterprise data
- Built-in orchestration for multi-source queries and workflows
Unique Nexla Capabilities
Only MCP That Builds Pipelines, Not Just Queries Data
Express MCP enables AI agents to CREATE production data pipelines with transformations, scheduling, and governance, not just query existing data. This is a category-defining capability no other MCP server offers.
Legacy System Support Without Native MCP
Nexla MCP dynamically creates MCP endpoints for ANY system, including SAP, Siebel, mainframes, and proprietary databases, even when those systems don't have native MCP support. Vendor MCP servers only work with their own platforms.
Enterprise Orchestration Layer
While MCP defines the protocol for agent-to-server communication, Nexla adds the critical orchestration layer needed for enterprise deployments: multi-agent coordination, workflow management, resource optimization, and runtime execution at scale.
Semantic Intelligence with LLM-Powered Data Understanding
Nexla uses AG2 (LLM framework) to automatically introspect data sources, understand schemas, identify relationships, and generate connectors. AI agents get semantic understanding of your data, not just raw query results.
Complete MCP Hub Architecture
Nexla functions as both MCP server and MCP client, creating a unified hub that integrates external MCP servers (Salesforce, Teradata, etc.) with Nexla's 550+ connectors, providing AI agents a single governed access point to your entire data ecosystem.
Real-Time Data with Sub-5 Minute Latency
Nexla's platform delivers real-time data access with sub-5 minute latency, ensuring AI agents work with current data. Vendor MCP servers often have significant data lag or require batch updates.
Unified Governance Across All Sources
Single governance framework (RBAC, audit logging, data quality, compliance) applied consistently across all 550+ sources. With vendor MCP servers, you must manage separate governance policies for each platform.
Feature Comparison
| Feature | Vendor MCP Servers | Nexla MCP |
|---|---|---|
| Data Sources | Single platform (Teradata, Salesforce, etc.) | 550+ sources unified |
| Pipeline Building | Data access only | Build pipelines via Express.dev MCP |
| Legacy System Support | Only if vendor provides MCP | All systems via Nexla MCP |
| Approach | Vertical (deep, single platform) | Horizontal (broad, multi-source) |
| Orchestration | Not available | Multi-agent coordination & runtime |
| Data Latency | Varies, often batch updates | Real-time (<5 min) |
Key Differentiator:
Vendor MCP servers give deep access to ONE platform. Nexla MCP gives governed access to ALL your data sources through one endpoint.
Getting Started
Option 1: Direct to Express.dev
- Visit Express.dev
- Describe your data needs in natural language
- Express builds pipelines automatically
Option 2: Enterprise Nexla MCP (Alpha Access)
- Contact sales@nexla.com for early access
- Custom MCP endpoints for your data ecosystem
- Full governance and enterprise support
Future Roadmap: Complete MCP Hub
Coming Soon:
Express as MCP Client
Express will connect to external MCP servers as a client, creating a complete MCP hub:
- Connect to Salesforce MCP, Zendesk MCP, and your database
- Unify all data with Nexla governance layer
- Provide single Nexla MCP endpoint for AI agents
Result: Complete MCP Hub
- Express MCP Server (builds pipelines)
- Express as MCP Client (integrates external MCPs)
- Nexla MCP Server (dynamic endpoints)
- 550+ Direct Connectors (fill gaps)
Ready to Give Your AI Agents Access to Enterprise Data?
Frequently Asked Questions
What is Model Context Protocol (MCP) and why does it matter for AI agents?
MCP (Model Context Protocol) is a standardized way to connect AI agents like ChatGPT, Claude, and Copilot to external data sources, tools, and workflows. It enables AI agents to access enterprise data, execute tasks, and provide personalized insights without custom API integrations for each connection.
Why Is MCP Important for AI Orchestration?
MCP standardizes how AI agents access data and tools across systems, enabling seamless multi-agent workflows. Nexla adds orchestration, governance, and runtime execution, plus one MCP endpoint for 550+ sources and natural-language pipeline building with Express.dev.
How does Nexla's MCP server differ from vendor-specific MCP servers?
Nexla provides unified access to 550+ data sources through one MCP endpoint, while vendor MCP servers connect to single platforms only. Nexla MCP includes pipeline building via Express MCP, legacy system support without native MCP, enterprise orchestration, and real-time data with sub-5 minute latency across all sources.
What is Express MCP and how does it enable AI agents to build data pipelines?
Express MCP is the only MCP server that lets AI agents BUILD data pipelines, not just query data. Using natural language commands like “Connect Salesforce to Snowflake and sync hourly,” AI agents create production pipelines with automatic schema mapping, transformations, and governance. Available now in ChatGPT GPT Store.
How does Nexla MCP ensure enterprise-grade security and governance?
Nexla MCP includes OAuth 2.0 + Keycloak authentication, role-based access control per agent, comprehensive audit logging for every query, rate limiting, HTTPS-only communication, and SOC 2, HIPAA, GDPR compliance readiness. Deploy cloud-hosted, self-hosted in your VPC, or hybrid with sensitive data on-premises.
Can Nexla MCP connect AI agents to legacy systems without native MCP support?
Yes, Nexla MCP dynamically creates MCP endpoints for ANY system, including SAP, Siebel, mainframes, and proprietary databases, even when those systems lack native MCP support. This enables AI agents to access legacy enterprise data through standardized MCP protocol with full governance and audit trails.