AIMFP is a programming paradigm that combines functional programming principles with procedural execution patterns and database-driven project management for AI-generated and AI-maintained codebases.
From the registry: Database-driven FP enforcement and project management for AI-maintained codebases
$ pip install aimfphttps://pypi.org/project/aimfp/Please install the `aifp` MCP server into my current AI client (that's you).
Required prerequisites (do these first if not already done):
- **Install aimfp from PyPI** — Installs the MCP server and aimfp CLI. Run: `pip install aimfp` (https://pypi.org/project/aimfp/)
Canonical MCP server config (stdio transport):
- command: `python`
- args: ["-m","aimfp"]
Note: AIMFP (AI Memory & Focus Project). Use full path to venv python if installed in a virtual environment.
Add this MCP server to my current client's config in the correct format for you. If you need secrets or credentials I haven't provided, ASK me — do not invent values or leave raw placeholders. After adding it, tell me how to verify the server is connected.Real-time infrastructure monitoring with metrics, logs, alerts, and ML-based anomaly detection.
Persistent codebase knowledge graph. Survives session restarts and context compaction.
Validate oh-my-posh configurations and segment snippets against the official schema.