Overview

LocalDude is a lightweight, Node.js/TypeScript MCP server that streamlines the integration of time‑series data workflows into AI assistants. By exposing a set of well‑defined tools for querying InfluxDB, the server allows Claude or other MCP‑compatible agents to retrieve, analyze, and act on real‑time metrics without leaving the conversational context. This eliminates the need for manual database queries, enabling developers to build data‑driven assistants that can answer questions about system health, performance trends, or operational anomalies directly from the chat interface.

The core problem LocalDude solves is the friction between AI assistants and external data stores. Most MCP servers provide generic HTTP or function‑call endpoints, but they rarely include domain‑specific tooling. LocalDude fills that gap for time‑series data by offering three specialized commands: influxdb-query, influxdb-latest, and influxdb-range. Each tool accepts a concise JSON payload, translates it into a Flux query, and returns the results in a format that can be immediately consumed by an assistant. This abstraction lets developers focus on crafting prompts and logic, while the server handles authentication, query construction, and response formatting.

Key capabilities include:

• Seamless InfluxDB connectivity through environment‑driven configuration, supporting any cluster URL, token, organization, and bucket.
• Auto‑rebuild and hot‑reload via nodemon and ts-node, allowing rapid iteration on tool logic without manual restarts.
• Custom Flux query execution with , giving full flexibility for complex analytical requests.
• Convenient data retrieval helpers ( and ) that encapsulate common patterns such as fetching the most recent point or a time‑bounded series.
• TypeScript support for type safety and IDE tooling, reducing runtime errors in tool definitions.

Typical use cases span monitoring dashboards, anomaly detection bots, and automated incident response systems. For example, a DevOps assistant could ask, “What was the CPU usage on the production server last hour?” and LocalDude would translate that into a Flux range query, return the data, and let Claude format it as a chart or summary. In IoT scenarios, sensors publishing metrics to InfluxDB can be queried on demand by a conversational agent that helps users troubleshoot equipment without accessing the underlying database directly.

By embedding these specialized tools into an MCP server, LocalDude offers a standout advantage: developers gain a ready‑to‑use bridge between AI assistants and time‑series analytics, reducing boilerplate code, ensuring secure credential handling, and enabling rapid prototyping of data‑centric conversational experiences.