Query local fleet telemetry, trips, positions, and alerts in natural language.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "mcp-local-redes" yet — see the docs or source repo.
Show the current positions of vehicles still online today, grouped by fleet.
Returns aggregated vehicle position results grouped by fleet or vehicle.
Summarize trip counts per vehicle in the last 24 hours and list vehicles with more anomalies.
Outputs trip statistics per vehicle and a summarized list of vehicles with more anomalies.
Summarize alert types and counts for all vehicles this week, and identify the top three alert categories.
Returns alert totals by type and a ranking of the most frequent alerts.
Fleet operators can ask natural-language questions about vehicle positions, trips, and alerts without writing database queries. It fits daily monitoring and quick operational summaries.
Data analysts can use this MCP tool to get aggregated results from a local SQLite telemetry database for fast fleet exploration. It is useful for validating questions before deeper analysis.
Developers can connect this local MCP server to MCP-compatible LLM clients so models can call tools for positions, trips, and alerts. It suits internal assistants for fleet teams.
It is a local MCP server that exposes fleet telemetry queries as tools for language models. It supports natural-language questions about vehicle positions, trips, and alerts, and returns aggregated results from a SQLite database.
The known prerequisites are that it runs on the operator's machine and uses a SQLite database as the data source. For exact installation steps, runtime requirements, or configuration details, see the source repository.
It wraps query capabilities as MCP tools that language models can call through natural language instead of requiring users to write SQL. The returned results focus on aggregated fleet telemetry information.
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