You will get a custom Model Context Protocol (MCP) Server to power your AI Agent
Project details
I will deliver the Model Context Protocol server that could be easily integrated into your system.
✳️ Starter Tier
• API Integration
• Up to 10 tools/prompts/resources implementations
• Source code delivery
• Documentation
✳️ Standard Tier
Everything in Starter, plus:
• Up to 20 tools/prompts/resources implementations
• Customizations
✳️Advanced Tier
Everything in Standard, plus:
• Up to 40 tools/prompts/resources implementations
• Test coverage
• CI/CD based on GitHub Action
• NPM or PyPI package deployment, Docker image build
• Perfect for complex integrations
✳️ Starter Tier
• API Integration
• Up to 10 tools/prompts/resources implementations
• Source code delivery
• Documentation
✳️ Standard Tier
Everything in Starter, plus:
• Up to 20 tools/prompts/resources implementations
• Customizations
✳️Advanced Tier
Everything in Standard, plus:
• Up to 40 tools/prompts/resources implementations
• Test coverage
• CI/CD based on GitHub Action
• NPM or PyPI package deployment, Docker image build
• Perfect for complex integrations
AI Development Type
Deep Learning, Knowledge Representation, Model Tuning, Recommendation System, Software MaintenanceWhat's included
| Service Tiers |
Starter
$300
|
Standard
$450
|
Advanced
$2,000
|
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 10 days |
Number of Revisions | 1 | 2 | 3 |
AI Model Integration | |||
Detailed Code Comments | |||
Knowledge Graph | - | - | - |
Model Documentation | |||
Ontology | - | - | - |
Source Code | |||
Taxonomy | - | - | - |
Frequently asked questions
About Anton
Anton
Vinnitsa, Ukraine - 12:24 am local time
Steps for completing your project
After purchasing the project, send requirements so Anton can start the project.
Delivery time starts when Anton receives requirements from you.
Anton works on your project following the steps below.
Revisions may occur after the delivery date.
Review your requirements
I will review your request and verify if there is sufficient information to proceed with the work. And I will ask for clarifications if required.
Recommendations
I will review the request from the point of view of Large Language Models (LLMs) and the Model Context Protocol (MCP) server, and will describe the tools/prompts/resources that you will get as an outcome to confirm the scope.