I will build a custom mcp server for claude chatgpt apis and databases


About this gig
Your AI should do more than answer questionsit should securely use your real business tools and data.
I will build a custom Python Model Context Protocol (MCP) server that connects Claude, ChatGPT, Cursor, or your AI application to APIs, PostgreSQL, MongoDB, CRMs, files, and internal systems.
WHAT I CAN DELIVER:
Custom MCP tools, resources, and prompts
REST API or database integration
Input validation and structured responses
Authentication and secure secret handling
Logging, error handling, and documentation
Docker setup and tests for larger packages
IDEAL FOR:
Searching business data
Creating or updating records
Triggering workflows
Internal AI assistants
Developer tools and AI agents
TECHNOLOGIES:
Python, FastAPI, MCP SDK, PostgreSQL, MongoDB, REST APIs, and Docker.
Please contact me before ordering. Send the system you want to connect, its API documentation, and the actions your AI should perform. I will confirm the correct package and scope.
Get to know brahim
AI and Full Stack Developer
- FromMorocco
- Member sinceSep 2024
- Avg. response time1 hour
Languages
Arabic, English, French
My Portfolio
FAQ
Question: What is an MCP server?
An MCP server allows an AI assistant to securely access external tools and data. It can let your AI search a database, call an API, update records, trigger workflows, or interact with an internal business system.
Which AI applications can you connect?
I can build MCP integrations for Claude Desktop, Claude Code, Cursor, ChatGPT-compatible environments, custom AI agents, and applications that support the Model Context Protocol.
What systems can you integrate?
I can integrate REST APIs, PostgreSQL, MongoDB, internal business tools, files, CRMs, and custom Python functions. Contact me first if your system is unusual or undocumented.
Do you provide the source code?
Yes. Every package includes the source code and basic setup instructions. The Standard and Premium packages include more detailed technical documentation.
Can you work with a private API?
Yes. You will need to provide API documentation, authentication details, and test access. Use temporary or restricted credentials whenever possible.
Will my API keys be protected?
Credentials will be stored through environment variables and will not be hard-coded into the source code. The exact security setup depends on your hosting environment and package.
Can you deploy the MCP server?
Docker configuration and a deployment guide are included in the Premium package. Deployment to your VPS or cloud provider can be added as an extra after reviewing the environment.
Do you provide maintenance after delivery?
Small fixes related to the delivered scope are covered during the agreed support period. Ongoing maintenance, new tools, and external API changes can be handled through a custom offer.

