Build and connect
MCP & systems integration
Let AI work with your real systems — safely, with access you control.
AI is only as useful as the information and tools it can reach. Integration is the work of connecting it to your systems. One increasingly common way to do this is the Model Context Protocol (MCP): an open standard that works like a universal adapter, letting AI tools such as Claude or ChatGPT talk to your systems through one consistent, permissioned connection instead of many custom ones.
Free · 30 minutes · Reply within 1 business day
When this helps
- Your team copies information between an AI tool and your CRM or ERP.
- You want an assistant to look up live order, inventory, or account data.
- Several AI tools need access to the same systems and you want one governed path.
- A vendor offers a connector and you need help evaluating or configuring it.
What AgentSpring does
- 1
Inventory the systems
We document which systems matter, what data they hold, what APIs they offer, and who owns them.
- 2
Design the access
We decide what AI can read, what it can change, and what needs approval — then set permissions to match.
- 3
Build or configure connectors
We configure existing connectors or build MCP servers and API integrations where nothing suitable exists.
- 4
Log and monitor
Connections record what was accessed and when, so activity can be reviewed.
What you receive
These are potential deliverables. Your proposal defines the exact deliverables and responsibilities; not every item applies to every engagement.
- A system and data access map
- Configured or custom-built connectors (including MCP servers where appropriate)
- Permission and approval rules, documented
- Logging and basic monitoring
- Technical documentation for your IT team
What we need from your team
Good results depend on your team's involvement.
- IT or system-owner involvement for access and credentials
- Test or sandbox environments where available
- Decisions on what data AI may read or change
How success is assessed
- AI tools retrieve correct information from connected systems in testing
- Permissions block access outside the agreed scope
- Your IT team can understand, audit, and revoke the connection
What affects scope, timing, and cost
- Whether systems have usable APIs or need workarounds
- Authentication and security requirements
- Number of systems and actions involved
- Hosting needs for any custom connector
Projects are scoped around your goals, existing systems, and the work required. Before work begins, we agree on deliverables, responsibilities, fees, and any ongoing software or support costs.
Where relevant, third-party licenses, hosting, model usage, and ongoing support are separate costs identified before work begins. Your proposal also defines integration access, ownership arrangements, handover, and support scope.
How pricing worksIllustrative example
Example: live order status for customer service
A customer service team uses an AI assistant to draft replies. An MCP connection lets it look up an order's status and shipment details in the ERP — read-only — so drafts include accurate information. Staff still review and send every reply.
See work & examplesQuestions about this service
Do we need MCP?
Not always. A direct API integration or an existing connector can be simpler. We'll recommend MCP when it makes your setup easier to manage or reuse.
Is MCP secure?
It's a protocol, so security depends on how it's set up. We scope permissions narrowly, use proper authentication, and log access.
Our system is old. Can it still be connected?
Sometimes through exports, database access, or scheduled syncs. We'll be clear about what's practical.
Related services
- AI agents & assistantsInternal assistants that answer questions from your information and agents that carry out tasks with approval.
- Claude Code & Codex enablementSet up AI coding agents with the right instructions, skills, connections, permissions, and review habits.
- AI evaluation, security & governanceDefine success, test reliability, set access and approval controls, and document who's responsible.
Talk through mcp for your business.
The free workflow review is your starting point. Bring a project, a process, or a question about where to start.
What happens on the first call?
We’ll discuss what you want to improve, the tools you use, and the constraints you’re working within. You’ll leave with 2 to 3 automation ideas, whether or not we work together.
Start with a defined project or an uncertain problem. You’ll leave with 2 to 3 automation ideas, whether or not we work together.
30 minutes. You'll leave with 2 to 3 automation ideas, whether or not we work together.
