teslamate-mcp
Active·★ 127·MIT·Updated 2026-05-21
★ Trending★ API Integration★ Data Processing
A Model Context Protocol (MCP) server that provides access to your TeslaMate database, allowing AI assistants to query Tesla vehicle data and analytics.
This server provides tools, prompts, and resources to query your TeslaMate database via MCP protocol. It supports both stdio and HTTP transports, with 20 tools for battery, charging, driving, efficiency, and locations.
#mcp#mcp-server#mcp-servers#tesla#tesla-api#teslamate
01
Features
0120 tools: 18 predefined analytics queries plus run_sql and get_database_schema
026 prompts for one-click workflows (battery health, driving summary, etc.)
032 resources for catalog browsing without tool invocation
04Hardened run_sql with READ ONLY transaction, timeouts, and row cap
05Two transports (stdio and HTTP) with bearer-token auth and health probe
02
Compatibility
Python
Python 3.11+
Verified via docs
Docker
Docker
Verified via docs
03
Quick start
1
$ git clone https://github.com/cobanov/teslamate-mcp.git
2
$ cd teslamate-mcp
3
$ cp env.example .env
4
$ uv sync
04
Use cases
↳Query battery health and degradation trends
↳Analyze driving patterns and efficiency
↳Get summaries of charging sessions by location
05
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Comments
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- AAlex JacksonMay 6, 2026
Good for Tesla owners using TeslaMate who want AI analysis of their driving data.
- LLane PatelMay 3, 2026
Works with self-hosted TeslaMate installations without cloud dependency.
- JJordan WhiteMar 28, 2026
Useful for building AI-powered vehicle analytics dashboards.
- EElliot HarrisMar 5, 2026
TeslaMate data accessible via MCP — Tesla vehicle telemetry in AI workflows.