mcp-teslamate-fleet

mcp-teslamate-fleet

MCP server combining TeslaMate historical analytics with Fleet API live data and commands. Works with Claude Code, Claude Desktop, Cursor, and any MCP-compatible client.

Category
Visit Server

README

TeslaMate + Fleet API MCP Server

mcp-teslamate-fleet MCP server

MCP server combining TeslaMate historical analytics with Fleet API live data and commands. Works with Claude Code, Claude Desktop, Cursor, and any MCP-compatible client.

The first MCP server to bring both data sources together — use TeslaMate for deep analytics and Fleet API for real-time control, or configure just one.

Features

29 tools across four categories:

Category Tools Backend
Status & History tesla_status, tesla_drives, tesla_charging_history, tesla_battery_health, tesla_efficiency, tesla_location_history, tesla_state_history, tesla_software_updates TeslaMate
Analytics tesla_savings, tesla_trip_cost, tesla_efficiency_by_temp, tesla_charging_by_location, tesla_top_destinations, tesla_longest_trips, tesla_monthly_summary, tesla_vampire_drain TeslaMate
Live Data tesla_live Fleet API
Commands tesla_climate_on/off, tesla_set_temp, tesla_charge_start/stop, tesla_set_charge_limit, tesla_lock, tesla_unlock, tesla_honk, tesla_flash, tesla_trunk, tesla_sentry Fleet API

Safety: unlock and trunk commands require confirm=True. All commands are rate-limited to 40/day.

Quick Start

Claude Code (.mcp.json)

{
  "mcpServers": {
    "tesla": {
      "command": "uvx",
      "args": ["--from", "git+https://github.com/lodordev/mcp-teslamate-fleet", "mcp-teslamate-fleet"],
      "env": {
        "TESLAMATE_DB_HOST": "localhost",
        "TESLAMATE_DB_PASS": "your_password",
        "TESLA_VIN": "your_vin",
        "TESLA_TOKEN_FILE": "/path/to/tokens.json",
        "TESLA_CLIENT_ID": "your_client_id",
        "TESLA_CLIENT_SECRET": "your_client_secret",
        "TESLA_PROXY_URL": "https://localhost:4443",
        "TESLA_VERIFY_SSL": "false"
      }
    }
  }
}

Claude Desktop (claude_desktop_config.json)

Same structure — add under mcpServers.

Local install

git clone https://github.com/lodordev/mcp-teslamate-fleet
cd tesla-mcp
pip install -e .

Prerequisites

You need at least one of these backends configured. Both is ideal.

TeslaMate (analytics + history)

TeslaMate is an open-source Tesla data logger. It records driving, charging, and vehicle state to a Postgres database.

If you already run TeslaMate, you just need the database connection details. If not, see the TeslaMate installation guide.

Fleet API (live data + commands)

Tesla's Fleet API provides real-time vehicle data and remote commands. Setup requires:

  1. Register an app at developer.tesla.com
  2. Generate OAuth tokens — use Tesla's token generation flow
  3. Set up the HTTP proxy — commands must be signed using the Tesla Vehicle Command Protocol. Deploy the tesla-http-proxy from that repo

The proxy is only needed for commands (tesla_climate_on, tesla_lock, etc.). tesla_live works with just a token.

Tesla provides a $10/month free credit for Fleet API, which is more than enough for personal MCP use.

Configuration

All configuration is via environment variables.

TeslaMate Database

Variable Default Description
TESLAMATE_DB_HOST (required) Postgres host
TESLAMATE_DB_PORT 5432 Postgres port
TESLAMATE_DB_USER teslamate Postgres user
TESLAMATE_DB_PASS (required) Postgres password
TESLAMATE_DB_NAME teslamate Database name

Fleet API

Variable Default Description
TESLA_VIN (required) Vehicle VIN
TESLA_TOKEN_FILE (required) Path to tokens.json with OAuth tokens
TESLA_CLIENT_ID Fleet API client ID (for token refresh)
TESLA_CLIENT_SECRET Fleet API client secret (for token refresh)
TESLA_PROXY_URL HTTP proxy URL for commands
TESLA_FLEET_URL NA region Fleet API endpoint (regional options)
TESLA_VERIFY_SSL true Set false for self-signed proxy certs

Vehicle Configuration

Variable Default Description
TESLA_CAR_ID 1 TeslaMate car ID (for multi-car instances)
TESLA_BATTERY_KWH 75 Usable battery capacity in kWh
TESLA_BATTERY_RANGE_KM 525 EPA range at 100% in km

Energy consumption is estimated from ideal range deltas using these values. Adjust for your vehicle:

Vehicle Battery (kWh) Range (km)
Model 3 Standard Range 54 350
Model 3 Long Range 75 500
Model Y Long Range 75 525
Model S Long Range 100 650
Model X Long Range 100 560

Cost Defaults

These are defaults — tesla_savings and tesla_trip_cost accept per-call overrides.

Variable Default Description
TESLA_ELECTRICITY_RATE 0.12 Electricity cost in $/kWh
TESLA_GAS_PRICE 3.50 Gas price in $/gallon (for comparison)
TESLA_GAS_MPG 28 Comparable gas vehicle MPG

Architecture

Single-file Python server (~1400 lines) using FastMCP. Two data paths:

┌─────────────┐     ┌──────────────┐
│  TeslaMate   │────▶│   Postgres   │──┐
│  (logger)    │     │  (telemetry) │  │
└─────────────┘     └──────────────┘  │   ┌───────────┐     ┌────────────┐
                                       ├──▶│ tesla.py  │────▶│ MCP Client │
┌─────────────┐     ┌──────────────┐  │   │ (server)  │     │ (Claude,   │
│  Tesla       │────▶│ HTTP Proxy   │──┘   └───────────┘     │  Cursor)   │
│  Fleet API   │     │ (commands)   │                         └────────────┘
└─────────────┘     └──────────────┘

Limitations

  • Single vehicle — queries use a configurable car_id but tools don't accept it as a parameter. Multi-car users should run separate server instances.
  • Imperial units — output is in miles, °F, and PSI. Metric support is planned.
  • Estimated kWh — TeslaMate's drives table doesn't include energy consumed directly. We estimate from ideal range deltas using your configured battery capacity. Accuracy is ~90-95%.

Credits

Inspired by cobanov/teslamate-mcp. Built with FastMCP and TeslaMate.

License

MIT

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured