MCP servers & API integrations
So agents and workflows can reach your backend, a third-party system, or a legacy database.
The work
What this actually involves
Connecting an API is the easy part. The work is what holds it up: authentication that survives a token rotation, retries that do not duplicate writes, and a reconciliation step for when two sources disagree.
I build MCP servers so AI agents can use your systems as tools, and ordinary integrations for everything that does not need an agent.
Included
What you get
MCP servers
Your systems exposed as tools an agent can call, with scoped permissions and structured returns.
v1 to v2 OAuth2
Migrations carried out without interrupting accounts that are live and billing.
Middleware
The bit between two systems that neither vendor will own: queues, transforms, retries, dead letters.
Reconciliation
When sources conflict, the conflict is surfaced rather than silently resolved.
Hire me when
Signals this is the right piece of work
An AI agent needs to reach a system that has no integration
You are moving from the v1 API to v2 OAuth2 and cannot afford downtime
Two systems drift out of sync and nobody can explain which one is right
A legacy database holds the data the rest of the stack needs
Webhooks fire twice, or stop firing, and the failure is silent
You need the integration documented so it is not a black box after handover
Talk it through before anything is quoted
Start here
Start with the audit
A written architecture record and a staged plan, useful whether or not I build the rest.