You will get Custom MCP Integration & Development
Project details
Your AI agent can only do what it can reach. If Claude can't call your CRM, your database, or your internal tools, it's just answering questions — not doing work. MCP (Model Context Protocol) is what closes that gap, and most teams either don't know it exists or don't have anyone who can build one correctly.
What You Get:
A working MCP server connecting Claude (or any MCP-compatible AI agent) to your chosen tools, APIs, or databases
Proper authentication — no hardcoded keys, no shortcuts
A test script so you can verify every tool call before you rely on it
Documentation your team can actually follow
Deployment, not just local code (Standard and Advanced tiers)
Message me before ordering with which tool(s) or API(s) you want connected — I'll confirm scope and the right tier in a few minutes.
What You Get:
A working MCP server connecting Claude (or any MCP-compatible AI agent) to your chosen tools, APIs, or databases
Proper authentication — no hardcoded keys, no shortcuts
A test script so you can verify every tool call before you rely on it
Documentation your team can actually follow
Deployment, not just local code (Standard and Advanced tiers)
Message me before ordering with which tool(s) or API(s) you want connected — I'll confirm scope and the right tier in a few minutes.
AI Development Type
Deep Learning, Knowledge Representation, Model Tuning, Recommendation System, Software MaintenanceAI Tools
Amazon SageMaker, Azure Machine Learning, Google AutoML, Keras, MATLAB, MLflow, OpenCV, PyTorch, Sonnet, TensorFlowAI Development Language
PythonWhat's included
| Service Tiers |
Starter
$59
|
Standard
$499
|
Advanced
$2,199
|
|---|---|---|---|
| Delivery Time | 3 days | 8 days | 15 days |
Number of Revisions | 0 | 2 | 3 |
AI Model Integration | - | ||
Detailed Code Comments | - | - | |
Knowledge Graph | - | - | |
Model Documentation | - | ||
Ontology | - | - | |
Source Code | - | - | |
Taxonomy | - |
Optional add-ons
You can add these on the next page.
Additional Revision
+$19Frequently asked questions
About Yashika
AI systems| Automations| Agentic Ai
Shahdara, India - 7:17 pm local time
My work includes n8n workflows, AI voice receptionists, self-learning RAG chatbots, WhatsApp and CRM automation, and custom AI integrations. I focus on building reliable, production-ready systems that are scalable, maintainable, and designed around your workflow.
Every project includes source code and documentation, so you own what I build—no lock-in, no black boxes.
If you're looking to automate something that's becoming too manual, too slow, or too difficult to scale, I'd be happy to discuss whether I'm the right fit.
Steps for completing your project
After purchasing the project, send requirements so Yashika can start the project.
Delivery time starts when Yashika receives requirements from you.
Yashika works on your project following the steps below.
Revisions may occur after the delivery date.
project kickoff
✓ Client requirements collected (API docs, auth, use case) ✓ Delivery clock starts once access/credentials are provided
development phase
✓ Discovery & Scoping — confirm exact tools/endpoints and expected agent behavior ✓ MCP Server Development — build and unit-test each tool call ✓ Auth & Security Setup — proper key/OAuth handling, no hardcoding