Overview

AI agents are only as powerful as the information and tools they can access. Model Context Protocol (MCP) is the open standard that solves the enterprise connectivity problem — giving AI agents secure, standardised access to your databases, APIs, documents, and business systems without custom integration work for every connection. We design and implement MCP server architectures that act as the secure gateway between your AI systems and your enterprise data estate. The result is agents that can query your CRM, read your documents, run your workflows, and write back to your systems — all through a single, governed, auditable interface.

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How It Works with a21

Integration Landscape Assessment

Map the systems, databases, and APIs your AI agents need to access. Define access requirements, security constraints, and data governance rules for each integration point.

MCP Server Design & Build

Design and build MCP servers for each system or data source — implementing standardised tool definitions, authentication, authorisation, and response formatting.

Agent Integration & Governance

Connect your AI agents to the MCP layer. Implement access control policies, audit logging, and rate limiting. Test end-to-end data flows and deploy to production.

What We Offer

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MCP Server Development

Build production-grade MCP servers that expose your enterprise systems — databases, CRMs, ERP, document stores, REST APIs — to AI agents via standardised tool interfaces.

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Enterprise System Connectors

Pre-built and custom connectors for Salesforce, SAP, Snowflake, SharePoint, Jira, ServiceNow, PostgreSQL, and major cloud data services.

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Audit Logging & Observability

Log every agent data access and tool call through the MCP layer — providing a complete audit trail of what AI accessed, when, and what it did with the information.

Why Choose a21

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MCP Specialists

We are early adopters and implementers of the MCP standard. We have production MCP deployments across financial services and life sciences.

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Security by Design

Every MCP server we build treats security as a first-class concern — authentication, authorisation, encryption, and audit logging are not afterthoughts.

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Enterprise Integration Depth

We have built integrations with the systems your enterprise actually runs on — SAP, Salesforce, Snowflake, SharePoint — not toy examples.

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Governance at the Gateway

MCP is the right place to enforce governance policy. We implement access controls and audit logging at the integration layer — ensuring consistent enforcement regardless of which agent is calling.

Success Stories

Investment Bank AI Integration Layer

Problem

An investment bank had six AI agents accessing different internal systems through bespoke integrations — each with different security models, no unified audit trail, and mounting maintenance overhead.

Solution

Designed and built a unified MCP server layer covering Bloomberg data, internal risk databases, trade systems, and document management — with centralised auth, logging, and rate limiting.

Integration maintenance overhead reduced by 60%. Unified audit trail implemented across all agent data access. Three new agent deployments unblocked by reusing existing MCP servers.

Pharma Research Data Gateway

Problem

A pharma company’s research AI agents needed access to clinical databases, literature sources, and internal compound registries — each with different access controls and no way to audit AI data usage.

Solution

Built an MCP gateway covering eight research data sources with role-based access control, full query logging, and data transformation for agent-optimised formatting.

Research agent deployment time reduced from 12 weeks (per integration) to 2 weeks. Compliance team gained first-ever visibility into AI data access patterns.

Tech Stack & Tools

Model Context Protocol

FastAPI / Node.js

OAuth 2.0 / JWT

PostgreSQL / Snowflake / BigQuery connectors

Salesforce / SAP / ServiceNow connectors

Redis

OpenTelemetry