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Production-grade AI agents. Python · FastAPI · MCP · brief-before-code

  I build AI agents for business — Python/FastAPI/PostgreSQL, integrations with

  CRM, databases, banks, internal APIs. Not «yet another chatbot»: production-grade

   systems.


  One year of production: a financial platform for a 50+ person service business

  (5000+ operations per month), IoT observability with Prometheus and Grafana,

  custom MCP servers connecting Claude to internal data.


  Stack: Python, FastAPI, asyncpg, Docker, Claude Code, MCP, RAG.

  

  Method: brief-before-code, pre-commit validation, scope defined in writing before

   development.

  

  Work format: fixed-price packages for scoped projects, or hourly for iterations.

  First call is 15 minutes to align on stack, current state, and priority.

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MCP ID grafana prometheus asyncpg LLM Langchain RAG python