Door categorieën bladeren
Ontdekken
Fiverr Pro
Nederlands
$
USD
I will build a custom mcp server to connect your API
Samyak V
Over deze dienst
LET CLAUDE AND CHATGPT USE YOUR OWN SYSTEMS
Right now someone on your team exports a CSV and pastes it into a chat
window. The data is stale before they hit send.
MCP - the Model Context Protocol - is the standard that lets an AI client
call your API directly. Build the server once, and Claude, ChatGPT, Cursor
and every future MCP client can use it.
WHAT YOU GET
- A production MCP server exposing your API, database or internal tools
- Typed tool definitions written so the model actually uses them correctly
- Auth, permission scoping and rate limiting
- Read tools open, write tools gated behind explicit approval
- A test suite covering every tool, runnable in your CI
- Deployment (stdio, HTTP or hosted) and full documentation
WHY THIS MATTERS NOW
MCP is becoming the default way AI connects to internal systems. One
integration instead of one per AI vendor is the entire point.
WORKS WITH
REST, GraphQL, gRPC, Postgres, MySQL, MongoDB, Snowflake, and internal
services behind a VPN
Send me your API docs and I will tell you which tools are worth exposing
and which are a security problem.
Maak kennis met Samyak V
Samyak V
Associate AIML Engineer
- Afkomstig uitIndia
- Lid sindsapr 2026
- Gem. reactietijd1 uur
Talen
Engels, Hindi, Gujarati
I am an AI/ML engineer with 1.5 years of working experience in developing and deploying AI/ML solutions, designing scalable ML pipelines, and optimizing model performance. I have experience in data science, building end-to-end pipelines, and developing LLM + RAG based applications.
Andere AI-development diensten die ik aanbied
Veelgestelde vragen
What is MCP, in plain terms?
The Model Context Protocol is an open standard for letting AI assistants call external tools. Instead of building a separate integration for Claude, another for ChatGPT and another for whatever comes next, you build one MCP server and every compatible client can use it. It's the USB-C of AI integrat
Is it safe to connect AI to my database?
It is if it's built properly, and that's most of what you're paying for. Read and write tools are separated, permissions are scoped to the minimum needed, every write requires explicit approval, rate limits prevent runaway loops, and everything is logged. The AI only ever sees what you decide to exp
Which AI clients will be able to use it?
Claude Desktop, Claude Code, ChatGPT, Cursor, Windsurf, Zed, and any other MCP-compatible client — including ones that don't exist yet. That's the point of building against a standard rather than one vendor's API.
Where does it run?
Your choice: locally over stdio, on your own server over HTTP, or hosted. It runs in your infrastructure with your credentials. I don't retain access after handover.
My API is undocumented / internal / legacy. Can you still do it?
Usually yes. I've worked from OpenAPI specs, Postman collections, raw endpoint lists, and occasionally from reading the client code. Message me with what you have and I'll tell you honestly if it's workable before you order.
What's included in the test suite?
Unit tests per tool, integration tests against a staging endpoint, auth and permission tests, and a prompt-level test that checks the model actually invokes each tool correctly.
