unifi-mcp-server: Instructions file for Claude Code

CLAUDE.md

unifi-mcp-server CLAUDE.md is an instructions file for Claude Code from enuno/unifi-mcp-server. It costs 1,235 tokens per session, scanned A, original, Apache-2.0.

Project instructions for a UniFi MCP Server, an application that exposes the UniFi Network Controller API so AI agents can manage network data through a standard tool interface.

In plain words
What is it for?
They help navigate the Python server, API client, data models, tools, tests, and feature workflow, including the test-first approach called test-driven development.
Why use it?
They give coding agents the project structure, required documents, development process, and testing context before changes are made.

Instructions file for Claude Code

Written for Claude Code: the file is CLAUDE.md. Also seen: mentions AGENTS.md.

This is enuno/unifi-mcp-server's own configuration. It tells Claude Code how to work on unifi-mcp-server itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything unifi-mcp-server configures →

Reuse

Borrowing it

Nothing to install: this file belongs to enuno/unifi-mcp-server. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/enuno/unifi-mcp-server/main/CLAUDE.md
Clone the repo
git clone --depth 1 https://github.com/enuno/unifi-mcp-server

Made for: Claude Code.

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When invoked 1,235 The same file — it is already loaded in full.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
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Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.01235 $0.01235
Opus 5 $0.00617 $0.00617
Sonnet 5 $0.00247 $0.00247
Haiku 4.5 $0.00123 $0.00123

Measured 9d ago against content hash 49450617e426, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

unifi-mcp-server CLAUDE.md scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

CLAUDE.md · 139 lines

How it starts

The opening of the file, as written. The whole thing — 139 lines — stays where its author put it; the contents beside it link to each section on GitHub.

UniFi MCP Server - Claude Instructions

This file provides project-specific instructions for AI coding assistants working on the UniFi MCP Server.

Project Overview

The UniFi MCP Server is a Model Context Protocol (MCP) server that exposes the UniFi Network Controller API, enabling AI agents and applications to interact with UniFi network infrastructure in a standardized way.

Current Version: v0.2.3 Python Version: 3.10+ Framework: FastMCP

Quick Start for AI Assistants

Before Starting Work

  1. Read Key Documentation:

    • README.md - Project overview and features
    • AGENTS.md - Universal AI agent guidelines
    • DEVELOPMENT_PLAN.md - Roadmap and priorities
    • TODO.md - Current tasks and phase breakdown
    • API.md - Complete MCP tool documentation
  2. Understand the Architecture:

    • src/main.py - MCP server entry point
    • src/api/ - UniFi API client
    • src/models/ - Pydantic data models
    • src/tools/ - MCP tool implementations
    • tests/unit/ - Unit tests (1,156 tests passing)

Development Workflow

  1. Feature Development:

    • Create feature branch: git checkout -b feature/your-feature
    • Follow TDD: Write tests first, then implementation
    • Maintain 80% minimum test coverage for new code
    • Use Pydantic models for all data structures
    • Add comprehensive docstrings (Google style)
  2. Code Quality:

    • Run tests: pytest tests/unit/
    • Format: black src/ tests/ and isort src/ tests/
    • Lint: ruff check src/ tests/ --fix
    • Type check: mypy src/
    • Pre-commit: pre-commit run --all-files
  3. Safety Mechanisms:

    • All mutating operations require confirm=True
    • Implement dry-run mode for preview
    • Add audit logging for operations
    • Validate all user inputs
    • Never commit secrets or credentials

Technology Stack

  • Language: Python 3.10+
  • Framework: FastMCP (MCP server framework)
  • API Client: httpx (async HTTP)
  • Data Validation: Pydantic v2
  • Testing: pytest with asyncio support
  • Caching: Redis (optional)
  • Monitoring: agnost.ai (optional)

Read the full file on GitHub · 139 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 9d ago First seen · 139 lines · 1,235 tokens per session scan A 49450617e426

Subscribe to this mod's changes

unifi-mcp-server CLAUDE.md is an instructions file published in the GitHub repository enuno/unifi-mcp-server (247 stars, last pushed 2d ago), licensed Apache-2.0. It adds 1,235 tokens to every session, about $0.0062 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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