
MCP API Gateway — Expose Your Internal APIs to AI Models Safely
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4 days
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What you get with this Offer
I will build an MCP API gateway server — translating your internal REST or GraphQL APIs into MCP-compatible tools that AI clients can discover and invoke, with authentication handling, request validation, response formatting, and rate limiting preventing AI-driven API abuse. Enterprise internal APIs exposed to AI clients via MCP require careful gateway design — authentication credentials must not be exposed to the AI client's context window, request validation must prevent the AI from constructing malformed or harmful API calls, and rate limiting must prevent runaway AI tool usage from overloading internal systems.
The gateway covers API schema translation to MCP tool definitions, authentication credential management (credentials injected at the gateway, never passed to the AI client), request validation, response formatting for AI consumption, rate limiting, and an audit log of all AI-initiated API calls.
The gateway covers API schema translation to MCP tool definitions, authentication credential management (credentials injected at the gateway, never passed to the AI client), request validation, response formatting for AI consumption, rate limiting, and an audit log of all AI-initiated API calls.
What the Freelancer needs to start the work
Please share your internal API documentation (OpenAPI spec preferred), your authentication mechanism, your rate limiting requirements, the operations you want accessible to AI, and your audit logging requirements.
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