01 /
Search and read data
An assistant needs bounded access to product information.
AI / tools
An MCP server
for your API.
Expose selected operations of an existing product to AI clients through clear tools, access controls, and call visibility.
MCP
Go
Existing API
Authorization
Access to operationsrazrabotchik.com / MCP
AI client01 / REQUEST
MCP tools02 / CONTROL
Existing API03 / EXECUTE
Access and approvalsVisible calls
Starting point
Existing API
Selection
Allowed operations
Control
Access and logging
When it helps
An assistant needs specific actions, not the whole API.
MCP connects an AI client to tools. For a live product, the hard questions are which actions are allowed, who may use them, and how the user sees the result.
The server is designed around reviewed API operations. Exposing every endpoint automatically is not a sound default.
02 /
User-requested actions
An operation must run with the requesting user’s rights and a clear outcome.
03 /
Multiple AI clients
Tools need stable contracts and limits across clients.
Delivery
Treat each tool as a clear contract.
01 /
Select use cases
Which actions users actually need.
02 /
Define access
Identity, permissions, sensitive actions, and confirmations.
03 /
Build tools
Argument contracts, results, errors, and API integration.
04 /
Test calls
Access, failures, logs, and real client workflows.
Example approach
Help an operator find an order and update its status.
Search becomes a read tool. Updating status needs role checks, an allowed state transition, and confirmation where the action is consequential. The server returns clear API errors and keeps operations visible to the team.
This is a possible integration pattern, not a completed client project.
API → tools
Useful actions. Clear boundaries.
Contracts · access · visibility
Questions
Can we just wrap OpenAPI?
Generation can help with a draft, but operations still need selection, descriptions, access checks, and consequence review.
Do we need a new backend?
Not necessarily. An MCP server can use the existing API; the scope depends on its contracts and authorization.
What language is the server written in?
Usually Go: the protocol has an official Go SDK, and the server builds into a single binary that is easy to deploy next to your existing API. If your team prefers another stack, the language is agreed before work starts.
How do we limit data access?
Tools should enforce user permissions and return only needed data rather than relying on model instructions.
Next step
Describe your challenge.
Describe the system, goal, and constraints. You will receive a proposed next step, delivery format, and plan for technical oversight.