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Blues Notehub MCP Server

MCP Server

Connect LLMs to your Blues Notehub projects and devices

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Updated May 23, 2025

About

A Python-based MCP server that uses the official notehub_py SDK to allow large language models to query and manage Blues Notehub projects, devices, events, and send notes via X-Session-Token authentication.

Capabilities

Resources
Access data sources
Tools
Execute functions
Prompts
Pre-built templates
Sampling
AI model interactions

Overview of the Blues Notehub MCP Server

The Blues Notehub MCP Server bridges large‑language models (LLMs) and the Blues Notehub platform, enabling developers to query and manipulate IoT projects directly from an AI assistant. By exposing a set of well‑defined tools over the Model Context Protocol, it solves the friction that normally exists between conversational agents and specialized device‑management APIs. Developers can now ask an LLM to list projects, enumerate devices, retrieve event streams, or even send control messages—all without leaving the chat interface.

At its core, the server authenticates with Notehub using an X‑Session‑Token strategy. When a user supplies their email and password, the server contacts Notehub’s endpoint, caches the session token for up to 29 minutes, and refreshes it automatically as needed. This seamless credential handling means the LLM never needs to manage tokens directly, reducing boilerplate and potential security gaps. The server then translates each MCP tool invocation into a corresponding call to the official SDK, ensuring that all interactions are type‑safe and adhere to Notehub’s API contract.

Key capabilities include:

  • Project discovery () to list all accessible projects for the authenticated account.
  • Device enumeration () to fetch devices within a specific project, optionally filtered by tags or status.
  • Event retrieval () to pull historical event data, supporting pagination and time‑range queries.
  • Note dispatch () to push a payload message directly to a target device.

These tools empower real‑world scenarios such as:

  • Rapid prototyping: A developer can ask an assistant to pull the latest sensor readings from a test device and immediately tweak firmware.
  • Operational monitoring: Ops teams can have an AI summarise event logs across multiple projects, flagging anomalies.
  • Cross‑team collaboration: Product managers can request a quick inventory of devices in a feature branch project, facilitating hand‑offs.

Integration is straightforward for clients that support MCP. Claude for Desktop (macOS/Windows) can be configured to launch the server automatically, while custom MCP clients simply spawn the Python process and communicate over stdin/stdout. Because the server runs locally, all data remains within the developer’s environment, mitigating exposure of credentials or device secrets.

The standout advantage of this MCP server is its tight coupling to the official SDK, which guarantees that any API changes on Notehub are reflected with minimal maintenance. Combined with automatic token lifecycle management and a concise set of high‑value tools, it offers developers an efficient, secure path to embed IoT device control into conversational AI workflows.