You will get I will build a custom MCP server to connect your API to AI agents


Project details
You'll get a working MCP (Model Context Protocol) server that lets AI agents
like Claude and ChatGPT safely use your API or database — built in .NET 10 / C#.
Most AI integrations fail because the agent misreads the data. I focus on the
part that matters: clean, typed, well-documented tools, so the agent returns
the right answer instead of guessing. Every tool and field is described for the
agent, the code is layered and tested, and you get the full source — nothing is
locked to me.
I'm a software engineer with 3+ years building production .NET and Angular apps,
now focused on MCP and AI-agent tooling. I have a public example MCP server on
GitHub (in my portfolio) so you can see exactly how I work before we start.
You'll get clear communication, a fixed scope so there are no billing surprises,
and honest advice on what's worth building. Message me and I'll tell you straight
whether your idea is a good fit.
like Claude and ChatGPT safely use your API or database — built in .NET 10 / C#.
Most AI integrations fail because the agent misreads the data. I focus on the
part that matters: clean, typed, well-documented tools, so the agent returns
the right answer instead of guessing. Every tool and field is described for the
agent, the code is layered and tested, and you get the full source — nothing is
locked to me.
I'm a software engineer with 3+ years building production .NET and Angular apps,
now focused on MCP and AI-agent tooling. I have a public example MCP server on
GitHub (in my portfolio) so you can see exactly how I work before we start.
You'll get clear communication, a fixed scope so there are no billing surprises,
and honest advice on what's worth building. Message me and I'll tell you straight
whether your idea is a good fit.
AI Algorithms
Large Language Model, Multimodal Large Language Model, Transformer ModelAI Applications
AI Chatbot, Conversational AIAI Development Language
PythonAI Tools
Azure OpenAI, GitHub Copilot, Hugging Face, TensorFlowAI Models
ChatGPT, GPT-3, GPT-4, LLaMAWhat's included
| Service Tiers |
Starter
$75
|
Standard
$175
|
Advanced
$350
|
|---|---|---|---|
| Delivery Time | 4 days | 7 days | 14 days |
Number of Revisions | 1 | 2 | 3 |
AI Model Integration | |||
Batch Normalization | - | - | |
Database Integration | - | ||
Detailed Code Comments | - | ||
Image Upscaling | - | - | - |
MLOps | - | - | - |
Model Deployment | - | - | - |
Model Documentation | - | - | |
Model Monitoring | - | - | - |
Model Testing & Optimization | - | - | - |
Model Tuning | - | - | - |
Natural Language Processing | - | - | - |
NLP Tokenization | - | - | - |
Pre-Training | - | - | - |
Prompt Engineering | - | - | - |
Setup File | |||
Source Code |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$40 - $100
Additional Revision
+$25
Extra MCP Tool
(+ 1 Day)
+$30Frequently asked questions
About Godwin
MCP Server Developer | AI-Agent Integrations in .NET / C#
Manila, Philippines - 8:03 am local time
and ChatGPT safely use your APIs and data.
If you have a REST or OData API or a database and want an AI assistant to
query it accurately, that's what I do. I design clean, typed, well-documented
tools so the agent gets the right answer instead of guessing.
What I can help with:
• Build an MCP server over your existing API or database
• Add AI / agent tooling to a .NET application
• REST API design and integration
• Full-stack .NET + Angular development
I'm a software engineer with 3+ years building production .NET / C# and Angular
apps, now focused on the MCP and AI-agent space. I have a public example MCP
server on GitHub (in my portfolio below) so you can see how I work before we
even talk.
I work in fixed-scope chunks so cost is clear up front. Send me a message
happy to scope your idea and tell you honestly if it's a good fit.
Steps for completing your project
After purchasing the project, send requirements so Godwin can start the project.
Delivery time starts when Godwin receives requirements from you.
Godwin works on your project following the steps below.
Revisions may occur after the delivery date.
Review & scope
I review your API docs and confirm exactly which tools and data the AI agent needs.
Build the MCP server
I build the typed tools and service layer, mapping your API into clean, agent-friendly responses.