MCP for Legacy Applications
Model Context Protocol is the emerging standard for connecting AI agents to real enterprise systems. We build the MCP server layer that bridges your existing ERP, WMS, TMS, and databases to modern AI agents without rip-and-replace.
What MCP actually does
Model Context Protocol (MCP) is an open standard developed by Anthropic that allows AI agents to securely read from and write to external tools and data sources. Think of it as the API layer between your enterprise systems and any AI agent or harness. We build that layer so your data becomes accessible to AI without rebuilding your core infrastructure.
Direct connection to your existing stack. ERP, WMS, TMS, databases, internal APIs. The MCP server exposes your systems to AI agents through a structured, governed interface.
Governed access by design. Every MCP connection defines what agents can read, what they can write, and what requires human approval. Security and audit trail built into the protocol.
No disruption to existing systems. We instrument around your current stack. Your ERP keeps running. Your WMS keeps shipping. The MCP layer sits alongside, not in the critical path.
Bidirectional context. Agents do not just read from your systems. They can update records, trigger workflows, and log actions back, all through the same governed interface.
Natural language to system action. Once connected, agents can answer questions like "What is our current inventory at Denver?" or "Which orders shipped late this week?" directly from live data.
Foundation for agentic automation. MCP is the connective tissue. Once it is in place, every AI agent or harness you layer on top has immediate access to real operational data.
Choose your agentic harness
Our MCP implementation is harness-agnostic. Once your legacy systems are connected, you can plug into Atmosoft's proprietary agentic harness, Anthropic's Claude, or OpenAI's available infrastructure. The choice is yours.
Atmosoft
Atmosoft's proprietary AI operations agent. Purpose-built for enterprise operations with persistent memory, cross-system orchestration, and managed deployment. Atmobot connects directly to your MCP server and runs operational workflows around the clock.
Anthropic
Anthropic built MCP as an open standard and Claude supports it natively. If your organization already uses Claude or prefers Anthropic's models, we configure your MCP server to integrate directly with Claude's tool-use and agent framework.
OpenAI
OpenAI's Codex and Assistants API support tool-calling patterns compatible with MCP-style integrations. If your team is standardized on OpenAI, we configure the MCP layer to expose your systems through OpenAI's function-calling and agent loop.
What this unlocks
Agents query live inventory, flag low stock across locations, generate pick-pack reports, and surface exception orders without a human pulling the data manually.
"Which customers have outstanding invoices over 60 days?" answered from live ERP data in seconds, without a custom report or a finance analyst pulling it.
Agents monitor TMS data in real time, flag delayed shipments, draft carrier notifications, and update internal records without human intervention in the loop.
Agents pull transaction data across ERP and banking systems, surface discrepancies, and assemble the context a human reviewer needs to close the loop faster.
Agents read CRM deal status, cross-reference order history in the ERP, and surface accounts that need attention before a rep has to manually check both systems.
When something goes wrong across WMS, ERP, and TMS simultaneously, agents detect the pattern, assemble the cross-system context, and route it to the right person with everything they need.
How we build it
We work with your existing team and documentation. No system migration, no parallel infrastructure project. Just the MCP layer built cleanly on top of what you already have.
Step 01
We map the systems in scope, what data lives where, what APIs or database access is available, and what governance requirements apply.
Step 02
We design the tool schema. What agents can read, what they can write, what is read-only, and what triggers a human escalation. Governance defined before a line of code is written.
Step 03
MCP server built and tested against your live systems. No disruption to existing operations. Integration tested end-to-end before any agent is connected.
Step 04
Your chosen harness connected to the MCP server. First agent workflows configured and validated. Handoff to your team or to Atmosoft ongoing managed operations.
Ready to connect
Most MCP conversations start with a system map. Tell us your ERP, WMS, TMS, or database stack and what you want an agent to be able to do. We will scope the build from there.
Let's Map Your System → See Atmobot in action →