teslamate-mcp

Name: teslamate-mcp Review
Item: teslamate-mcp
Rating: 3.0
Author: Aaron Matthews

Connector Data & Analytics Usable

Works inClaude Code Claude Cowork Claude Chat

Usable Scanned — metadata only

Enables AI-driven analysis of vehicle telemetry and operational patterns stored in TeslaMate, allowing teams to extract insights from Tesla fleet data withou…

A Model Context Protocol (MCP) server that provides access to your TeslaMate database, allowing AI assistants to query Tesla vehicle data and analytics.

Query your Tesla charging history to identify patterns and optimize energy costs.
Ask Claude to analyze vehicle efficiency trends across multiple trips and routes.
Generate monthly reports on drive distance, energy consumption, and maintenance needs.

133 starsMIT (commercial OK)FreeNo code needed

Usable rating — This tool is functional but has notable gaps. Review the evaluation notes below before deploying.

Why it matters

Enables AI-driven analysis of vehicle telemetry and operational patterns stored in TeslaMate, allowing teams to extract insights from Tesla fleet data without building custom integrations or data pipelines.

Best for

Fleet managers and data analysts needing programmatic access to Tesla vehicle analytics and performance metrics through conversational AI interfaces.

Works in

Claude Code Claude Cowork Claude Chat

Source

https://github.com/cobanov/teslamate-mcp

By cobanov

How to Get It

Option 1: Claude Desktop AppOpen the Customize panel in the sidebar → browse connectors → search and add. Works in Claude Code, Claude Cowork, and Claude Chat.

Option 2: Paste into Claude CodeCopy the command below and paste it into a Claude Code conversation. Claude will run it for you.

Command

claude mcp add teslamate-mcp -- npx -y teslamate-mcp

Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.

Auto-generated from the tool's public listing — not hands-on verified. Cross-check against the source repo's README before running.

First thing to try

Once it’s connected, paste this into Claude:

Help me query my Tesla charging history to identify patterns and optimize energy costs

CostFree

Trust Signals Auto-scanned

Stars133Last updated2026-08-15LicenseMIT (OK for commercial use)Known CVEsNone foundSources: GitHub Advisory Database + OSV.dev · Scanned 2026-08-15 · scanner v1

Data & Access

Data processingPrompts sent to Anthropic API. Enterprise/Team plans exclude training.

Community Pulse New

No community discussions found yet. This doesn't mean the tool isn't good — it may be new or serve a niche use case.

Reviewer notes

Auto-scanned review. These are observations, not a security certification.

Scored from trust signals (evidence-eval-v1): 133 GitHub stars; contributors unknown; last commit 0d ago; license MIT.

Things to check

Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.

How to evaluate tools before deploying →

Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.

Evaluation Scores

Evaluation

Ease of Use

3/5

Versatility

3/5

Reliability

3/5

Security

3/5

Overall score3.00 / 5.00 UsableEvaluatedAug 2026

Scored from trust signals (evidence-eval-v1): 133 GitHub stars; contributors unknown; last commit 0d ago; license MIT.

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