You will get a Model Context Protocol(MCP Server) for sharing context for LLM Models.


Project details
I will develop and deploy MCP server for your LLM model so that you are able to use your custom tools with LLM and directly integrated within your AI Applications. I have already build MCP servers and am well versed with LLM and GenAI based tools and applications. I have previously worked on AI based business use cases.
MCP server will provide a standardized way of using custom tools with LLM models and you can directly integrate with MCP clients. We can even publish and deploy your MCP server so that you can share it across.
MCP server will provide a standardized way of using custom tools with LLM models and you can directly integrate with MCP clients. We can even publish and deploy your MCP server so that you can share it across.
AI Algorithms
Generative Adversarial Network, Transformer ModelAI Applications
AI Chatbot, AI Content Creation, Conversational AIAI Development Language
PythonAI Tools
Azure OpenAIAI Models
ChatGPT, GPT-3, GPT-4What's included
| Service Tiers |
Starter
$20
|
Standard
$30
|
Advanced
$50
|
|---|---|---|---|
| Delivery Time | 4 days | 7 days | 10 days |
Number of Revisions | 2 | 4 | 5 |
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 |
About Shashank Shekhar
Senior Software Engineer
Hyderabad, India - 6:40 pm local time
development and GenAI solutions. Expertise encompasses Python, Javascript,
and AWS, ensuring robust and scalable applications tailored to business needs.
Demonstrated proficiency in creating platforms that enhance operational efficiency
and knowledge management. Passionate about leveraging cutting-edge technologies
to deliver impactful software solutions that address complex challenges. Committed
to continuous learning and applying best practices in software engineering to foster
growth and excellence.
Steps for completing your project
After purchasing the project, send requirements so Shashank Shekhar can start the project.
Delivery time starts when Shashank Shekhar receives requirements from you.
Shashank Shekhar works on your project following the steps below.
Revisions may occur after the delivery date.
Identify the Requirements
Analyze the requirements identify the type of MCP server is required (STDIO or SSE). Check the feasibility of the project. Provide concise list of deliverables.
Develop
Based on the gathered requirements develop the MCP server. Check integration with MCP clients and test it end to end

