You will get MCP integration for secure LLM-to-SaaS API automation
Project details
You will get a production ready MCP integration that links LLMs with your SaaS tools for real outcomes. I design clean schemas, set up secure OAuth and least privilege permissions, build reliable actions with routing and retries, and ship with clear logs, metrics, and tests. The result is trusted automation, faster delivery, and lower integration effort.
What sets me apart is precision and ownership from idea to release. I translate your use cases into well scoped actions, remove friction in auth and data flow, and tune for speed, reliability, and cost. I work natively with OpenAI or Claude, LangChain, vector stores, and your stack in AWS or Azure. You get observable workflows, a small but solid test suite, and concise docs your team can extend.
I am a software engineer with more than five years of experience across API integration, DevOps, and AI workflows. I move fast, communicate clearly, and deliver a smooth handover so you stay independent. Keywords for your search: MCP integration, LLM to SaaS, API orchestration, OAuth security, CI and CD, observability.
What sets me apart is precision and ownership from idea to release. I translate your use cases into well scoped actions, remove friction in auth and data flow, and tune for speed, reliability, and cost. I work natively with OpenAI or Claude, LangChain, vector stores, and your stack in AWS or Azure. You get observable workflows, a small but solid test suite, and concise docs your team can extend.
I am a software engineer with more than five years of experience across API integration, DevOps, and AI workflows. I move fast, communicate clearly, and deliver a smooth handover so you stay independent. Keywords for your search: MCP integration, LLM to SaaS, API orchestration, OAuth security, CI and CD, observability.
AI Algorithms
Large Language Model, Multimodal Large Language ModelAI Applications
AI Chatbot, AI Mobile App Development, AI Text-to-Speech, AI-Generated Code, Conversational AI, Facial Recognition, Natural Language UnderstandingAI Development Language
PythonAI Tools
Azure OpenAI, Bing AI, GitHub Copilot, Hugging Face, Microsoft 365 Copilot, ReplitAI Models
ChatGPT, DALL-E, GPT-4, LaMDA, LLaMA, Midjourney AI, Naive Bayes Classifier, OpenAI CodexWhat's included
| Service Tiers |
Starter
$100
|
Standard
$200
|
Advanced
$1,000
|
|---|---|---|---|
| Delivery Time | 3 days | 7 days | 15 days |
Number of Revisions | 2 | 3 | 4 |
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
+$50 - $300Frequently asked questions
About Asad
Senior Software Engineer | AI-Driven Development | LLMs & AI Agents
Shahpur Chakar, Pakistan - 2:12 am local time
Core work includes MCP integrations, LLM apps with retrieval and guardrails, API orchestration, and DevOps automation. I design schemas, implement providers, add routing and retries, and ship with logs, metrics, and tests so your stack is observable and easy to extend.
Stacks I work with: Angular, React, Next.js, Node.js, NestJS, Python, FastAPI, PostgreSQL, MongoDB, AWS, Docker, Kubernetes, Terraform, GitHub Actions, Grafana, Prometheus, Auth0, OpenAI, Claude, LangChain, vector databases.
Typical outcomes: prompt to CRM updates, document search with context, safe task automation from chat, multi tool workflows without custom glue. Let’s map one high value use case and ship a working demo that scales to production.
Steps for completing your project
After purchasing the project, send requirements so Asad can start the project.
Delivery time starts when Asad receives requirements from you.
Asad works on your project following the steps below.
Revisions may occur after the delivery date.
Discovery & Goals
Define outcomes, target tools, constraints, timeline, and success metrics.
Use-Case Selection
Pick 1–3 high-value workflows. Map inputs/outputs and acceptance criteria.