You will get Build a Custom MCP Server for Your API
Project details
I build custom MCP (Model Context Protocol) servers that connect your existing APIs to AI tools like Claude Desktop and Cursor. Instead of your team manually switching between apps, they can query your data through natural language.
I shipped my own MCP server (idea-reality-mcp) with 236 GitHub stars, published on PyPI and listed on 10+ MCP directories. It connects 5 APIs in parallel using async Python, with full error handling and graceful degradation.
What you get: a production-ready MCP server with clean code, automated tests, documentation, and deployment guidance. I deliver fast — typically 3-5 days from kickoff to working server.
Stack: Python, FastMCP, httpx (async), Pydantic, pytest. I support both stdio and HTTP transport so your server works with any MCP-compatible AI tool.
I shipped my own MCP server (idea-reality-mcp) with 236 GitHub stars, published on PyPI and listed on 10+ MCP directories. It connects 5 APIs in parallel using async Python, with full error handling and graceful degradation.
What you get: a production-ready MCP server with clean code, automated tests, documentation, and deployment guidance. I deliver fast — typically 3-5 days from kickoff to working server.
Stack: Python, FastMCP, httpx (async), Pydantic, pytest. I support both stdio and HTTP transport so your server works with any MCP-compatible AI tool.
Programming Languages
PythonCoding Expertise
Performance Optimization, SecurityWhat's included
| Service Tiers |
Starter
$100
|
Standard
$200
|
Advanced
$400
|
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 7 days |
Number of Revisions | 1 | 2 | 3 |
Design Customization | - | - | - |
Content Upload | - | - | - |
Responsive Design | - | - | - |
Source Code |
Frequently asked questions
About SYUAN WEI
AI Tool & API Developer | Python, FastAPI, Claude AI Integration
Taipei, Taiwan - 9:05 pm local time
My open source project has 206 GitHub stars and 2100 weekly downloads. It validates startup ideas by searching GitHub, Hacker News, npm, PyPI, and Product Hunt, returning a reality score from 0 to 100.
I build AI tool backends with FastAPI and LLM integration, Python automation and scraping systems, and full product prototypes including backend, frontend, CI/CD, and deployment.
Previously managed a team of 5 to 8 people building automated trading bots with Python and MetaTrader 5.
Stack includes Python, FastAPI, async httpx, Claude API, GitHub Actions, Render, SQLite, and Docker.
Steps for completing your project
After purchasing the project, send requirements so SYUAN WEI can start the project.
Delivery time starts when SYUAN WEI receives requirements from you.
SYUAN WEI works on your project following the steps below.
Revisions may occur after the delivery date.
Review API docs and plan tool design
I review your API documentation, understand your data model, and design the MCP tool schema — what inputs and outputs each tool will have.
Build and test MCP server
I build the MCP server with async API calls, error handling, and structured responses. Test with Claude Desktop to verify everything works end-to-end.